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ORCIDMario Fritz
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- affiliation: CISPA Helmholtz Center for Information Security, Saarland Informatics Campus, Germany
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2020 – today
- 2024
[j17]Moritz Böhle
, Navdeeppal Singh, Mario Fritz, Bernt Schiele:
B-Cos Alignment for Inherently Interpretable CNNs and Vision Transformers. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4504-4518 (2024)- [j16]Hui-Po Wang, Dingfan Chen, Raouf Kerkouche, Mario Fritz:
FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations. Proc. Priv. Enhancing Technol. 2024(3): 372-390 (2024) - [j15]Dingfan Chen, Raouf Kerkouche, Mario Fritz:
A Unified View of Differentially Private Deep Generative Modeling. Trans. Mach. Learn. Res. 2024 (2024) - [c150]Mario Fritz, Christoph Krauß, Hans-Joachim Hof:
CSCS '24 - Cyber Security in CarS Workshop. CCS 2024: 4914-4916 - [c149]Yuan Xin, Zheng Li, Ning Yu, Dingfan Chen, Mario Fritz, Michael Backes, Yang Zhang:
Inside the Black Box: Detecting Data Leakage in Pre-Trained Language Encoders. ECAI 2024: 3947-3955 - [c148]Akash Gupta, Ivaxi Sheth, Vyas Raina, Mark J. F. Gales, Mario Fritz:
LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History. EMNLP 2024: 14633-14652 - [c147]Rebecca Weil, Sahar Abdelnabi, Mario Fritz, Rakibul Hasan:
Tell Me What You Like and I Know What You Will Share: Topical Interest Influences Behavior Toward News From High and Low Credible Sources. EuroS&P Workshops 2024: 504-518 - [c146]Rubèn Tito, Khanh Nguyen, Marlon Tobaben, Raouf Kerkouche, Mohamed Ali Souibgui, Kangsoo Jung, Joonas Jälkö, Vincent Poulain D'Andecy, Aurélie Joseph, Lei Kang, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas:
Privacy-Aware Document Visual Question Answering. ICDAR (6) 2024: 199-218 - [c145]Max Maria Losch, Mohamed Omran, David Stutz, Mario Fritz, Bernt Schiele:
On Adversarial Training without Perturbing all Examples. ICLR 2024 - [c144]Yuxuan Zhou, Mario Fritz, Margret Keuper:
MultiMax: Sparse and Multi-Modal Attention Learning. ICML 2024 - [c143]Alaa Anani, Tobias Lorenz, Bernt Schiele, Mario Fritz:
Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing. ICML 2024 - [c142]Zhixiong Zhuang, Maria-Irina Nicolae, Mario Fritz:
Stealthy Imitation: Reward-guided Environment-free Policy Stealing. ICML 2024 - [c141]Hossein Hajipour, Ning Yu, Cristian-Alexandru Staicu, Mario Fritz:
SimSCOOD: Systematic Analysis of Out-of-Distribution Generalization in Fine-tuned Source Code Models. NAACL-HLT (Findings) 2024: 1400-1416 - [c140]Derui Zhu, Dingfan Chen, Qing Li, Zongxiong Chen, Lei Ma, Jens Grossklags, Mario Fritz:
PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition Dynamics. NAACL-HLT (Findings) 2024: 4737-4751 - [c139]Hossein Hajipour, Keno Hassler, Thorsten Holz, Lea Schönherr, Mario Fritz:
CodeLMSec Benchmark: Systematically Evaluating and Finding Security Vulnerabilities in Black-Box Code Language Models. SaTML 2024: 684-709 - [c138]Boyang Zhang, Zheng Li, Ziqing Yang, Xinlei He, Michael Backes, Mario Fritz, Yang Zhang:
SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models. USENIX Security Symposium 2024 - [c137]Shadi Rahimian, Raouf Kerkouche, Ina Kurth, Mario Fritz:
Private and Collaborative Kaplan-Meier Estimators. WPES@CCS 2024: 212-241 - [e8]Mario Fritz, Christoph Krauß, Hans-Joachim Hof:
Proceedings of the 2024 on Cyber Security in CarS Workshop, CSCS 2024, Salt Lake City, UT, USA, October 14-18, 2024. ACM 2024, ISBN 979-8-4007-1232-6 [contents] - [i146]Dingfan Chen, Marie Oestreich, Tejumade Afonja, Raouf Kerkouche, Matthias Becker, Mario Fritz:
Towards Biologically Plausible and Private Gene Expression Data Generation. CoRR abs/2402.04912 (2024) - [i145]Alaa Anani, Tobias Lorenz, Bernt Schiele, Mario Fritz:
Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing. CoRR abs/2402.08400 (2024) - [i144]Sarath Sivaprasad, Pramod Kaushik, Sahar Abdelnabi, Mario Fritz:
Exploring Value Biases: How LLMs Deviate Towards the Ideal. CoRR abs/2402.11005 (2024) - [i143]Akash Gupta, Ivaxi Sheth, Vyas Raina, Mark J. F. Gales, Mario Fritz:
LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History. CoRR abs/2402.18216 (2024) - [i142]Egor Zverev, Sahar Abdelnabi, Mario Fritz, Christoph H. Lampert:
Can LLMs Separate Instructions From Data? And What Do We Even Mean By That? CoRR abs/2403.06833 (2024) - [i141]Derui Zhu, Dingfan Chen, Qing Li, Zongxiong Chen, Lei Ma, Jens Grossklags, Mario Fritz:
PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition Dynamics. CoRR abs/2404.04722 (2024) - [i140]Zhixiong Zhuang, Maria-Irina Nicolae, Mario Fritz:
Stealthy Imitation: Reward-guided Environment-free Policy Stealing. CoRR abs/2405.07004 (2024) - [i139]Sahar Abdelnabi, Aideen Fay, Giovanni Cherubin, Ahmed Salem, Mario Fritz, Andrew Paverd:
Are you still on track!? Catching LLM Task Drift with Activations. CoRR abs/2406.00799 (2024) - [i138]Yuxuan Zhou, Mario Fritz, Margret Keuper:
MultiMax: Sparse and Multi-Modal Attention Learning. CoRR abs/2406.01189 (2024) - [i137]Edoardo Debenedetti, Javier Rando, Daniel Paleka, Silaghi Fineas Florin, Dragos Albastroiu, Niv Cohen, Yuval Lemberg, Reshmi Ghosh, Rui Wen, Ahmed Salem, Giovanni Cherubin, Santiago Zanella Béguelin, Robin Schmid, Victor Klemm, Takahiro Miki, Chenhao Li, Stefan Kraft, Mario Fritz, Florian Tramèr, Sahar Abdelnabi, Lea Schönherr:
Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition. CoRR abs/2406.07954 (2024) - [i136]Tobias Lorenz, Marta Kwiatkowska, Mario Fritz:
FullCert: Deterministic End-to-End Certification for Training and Inference of Neural Networks. CoRR abs/2406.11522 (2024) - [i135]Yuan Xin, Zheng Li, Ning Yu, Dingfan Chen, Mario Fritz, Michael Backes, Yang Zhang:
Inside the Black Box: Detecting Data Leakage in Pre-trained Language Encoders. CoRR abs/2408.11046 (2024) - [i134]Yuxuan Zhou, Margret Keuper, Mario Fritz:
Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation. CoRR abs/2408.13586 (2024) - [i133]Ivaxi Sheth, Sahar Abdelnabi, Mario Fritz:
Hypothesizing Missing Causal Variables with LLMs. CoRR abs/2409.02604 (2024) - [i132]Hossein Hajipour, Lea Schönherr, Thorsten Holz, Mario Fritz:
HexaCoder: Secure Code Generation via Oracle-Guided Synthetic Training Data. CoRR abs/2409.06446 (2024) - [i131]Volker Strobel, Marco Dorigo, Mario Fritz:
LLM2Swarm: Robot Swarms that Responsively Reason, Plan, and Collaborate through LLMs. CoRR abs/2410.11387 (2024) - [i130]Tejumade Afonja, Ivaxi Sheth, Ruta Binkyte, Waqar Hanif, Thomas Ulas, Matthias Becker, Mario Fritz:
LLM4GRN: Discovering Causal Gene Regulatory Networks with LLMs - Evaluation through Synthetic Data Generation. CoRR abs/2410.15828 (2024) - [i129]Ivaxi Sheth, Bahare Fatemi, Mario Fritz:
CausalGraph2LLM: Evaluating LLMs for Causal Queries. CoRR abs/2410.15939 (2024) - [i128]Marlon Tobaben, Mohamed Ali Souibgui, Rubèn Tito, Khanh Nguyen, Raouf Kerkouche, Kangsoo Jung, Joonas Jälkö, Lei Kang, Andrey Barsky, Vincent Poulain D'Andecy, Aurélie Joseph, Aashiq Muhamed, Kevin Kuo, Virginia Smith, Yusuke Yamasaki, Takumi Fukami, Kenta Niwa, Iifan Tyou, Hiro Ishii, Rio Yokota, Ragul N, Rintu Kutum, Josep Lladós, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas:
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA. CoRR abs/2411.03730 (2024) - [i127]Zhi-Yi Chin, Kuan-Chen Mu, Mario Fritz, Pin-Yu Chen, Wei-Chen Chiu:
In-Context Experience Replay Facilitates Safety Red-Teaming of Text-to-Image Diffusion Models. CoRR abs/2411.16769 (2024) - [i126]Tejumade Afonja, Hui-Po Wang, Raouf Kerkouche, Mario Fritz:
DP-2Stage: Adapting Language Models as Differentially Private Tabular Data Generators. CoRR abs/2412.02467 (2024) - [i125]Tobias Lorenz, Marta Kwiatkowska, Mario Fritz:
BiCert: A Bilinear Mixed Integer Programming Formulation for Precise Certified Bounds Against Data Poisoning Attacks. CoRR abs/2412.10186 (2024) - 2023
- [j14]Moritz Böhle, Mario Fritz, Bernt Schiele:
Optimising for Interpretability: Convolutional Dynamic Alignment Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7625-7638 (2023) - [c136]Giada Stivala, Sahar Abdelnabi, Andrea Mengascini, Mariano Graziano, Mario Fritz, Giancarlo Pellegrino:
From Attachments to SEO: Click Here to Learn More about Clickbait PDFs! ACSAC 2023: 14-28 - [c135]Tobias Lorenz, Marta Kwiatkowska, Mario Fritz:
Certifiers Make Neural Networks Vulnerable to Availability Attacks. AISec@CCS 2023: 67-78 - [c134]Sahar Abdelnabi, Kai Greshake, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz:
Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection. AISec@CCS 2023: 79-90 - [c133]Tejumade Afonja, Dingfan Chen, Mario Fritz:
MargCTGAN: A "Marginally" Better CTGAN for the Low Sample Regime. DAGM 2023: 524-537 - [c132]Max Maria Losch, David Stutz, Bernt Schiele, Mario Fritz:
Certified Robust Models with Slack Control and Large Lipschitz Constants. DAGM 2023: 574-588 - [c131]Sahar Abdelnabi, Mario Fritz:
Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems. USENIX Security Symposium 2023: 6719-6736 - [c130]Zheng Li, Ning Yu, Ahmed Salem, Michael Backes, Mario Fritz, Yang Zhang:
UnGANable: Defending Against GAN-based Face Manipulation. USENIX Security Symposium 2023: 7213-7230 - [c129]Raouf Kerkouche, Gergely Ács, Mario Fritz:
Client-specific Property Inference against Secure Aggregation in Federated Learning. WPES@CCS 2023: 45-60 - [e7]Björn Brücher, Christoph Krauß, Mario Fritz, Hans-Joachim Hof, Oliver Wasenmüller:
Proceedings of the 7th ACM Computer Science in Cars Symposium, CSCS 2023, Darmstadt, Germany, 5 December 2023. ACM 2023 [contents] - [i124]Moritz Böhle, Mario Fritz, Bernt Schiele:
Holistically Explainable Vision Transformers. CoRR abs/2301.08669 (2023) - [i123]Hui-Po Wang, Dingfan Chen, Raouf Kerkouche, Mario Fritz:
Fed-GLOSS-DP: Federated, Global Learning using Synthetic Sets with Record Level Differential Privacy. CoRR abs/2302.01068 (2023) - [i122]Hossein Hajipour, Thorsten Holz, Lea Schönherr, Mario Fritz:
Systematically Finding Security Vulnerabilities in Black-Box Code Generation Models. CoRR abs/2302.04012 (2023) - [i121]Derui Zhu, Dingfan Chen, Jens Grossklags, Mario Fritz:
Data Forensics in Diffusion Models: A Systematic Analysis of Membership Privacy. CoRR abs/2302.07801 (2023) - [i120]Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz:
More than you've asked for: A Comprehensive Analysis of Novel Prompt Injection Threats to Application-Integrated Large Language Models. CoRR abs/2302.12173 (2023) - [i119]Raouf Kerkouche, Gergely Ács, Mario Fritz:
Client-specific Property Inference against Secure Aggregation in Federated Learning. CoRR abs/2303.03908 (2023) - [i118]Shadi Rahimian, Raouf Kerkouche, Ina Kurth, Mario Fritz:
Private and Collaborative Kaplan-Meier Estimators. CoRR abs/2305.15359 (2023) - [i117]Protik Bose Pranto, Waqar Hassan Khan, Sahar Abdelnabi, Rebecca Weil, Mario Fritz, Rakibul Hasan:
From Bad to Worse: Using Private Data to Propagate Disinformation on Online Platforms with a Greater Efficiency. CoRR abs/2306.04883 (2023) - [i116]Moritz Böhle, Navdeeppal Singh, Mario Fritz, Bernt Schiele:
B-cos Alignment for Inherently Interpretable CNNs and Vision Transformers. CoRR abs/2306.10898 (2023) - [i115]Tejumade Afonja, Dingfan Chen, Mario Fritz:
MargCTGAN: A "Marginally" Better CTGAN for the Low Sample Regime. CoRR abs/2307.07997 (2023) - [i114]Giada Stivala, Sahar Abdelnabi, Andrea Mengascini, Mariano Graziano, Mario Fritz, Giancarlo Pellegrino:
A Large-Scale Study of Phishing PDF Documents. CoRR abs/2308.01273 (2023) - [i113]Max Maria Losch, David Stutz, Bernt Schiele, Mario Fritz:
Certified Robust Models with Slack Control and Large Lipschitz Constants. CoRR abs/2309.06166 (2023) - [i112]Dingfan Chen, Raouf Kerkouche, Mario Fritz:
A Unified View of Differentially Private Deep Generative Modeling. CoRR abs/2309.15696 (2023) - [i111]Sahar Abdelnabi, Amr Gomaa, Sarath Sivaprasad, Lea Schönherr, Mario Fritz:
LLM-Deliberation: Evaluating LLMs with Interactive Multi-Agent Negotiation Games. CoRR abs/2309.17234 (2023) - [i110]Sarath Sivaprasad, Mario Fritz:
Going Beyond Familiar Features for Deep Anomaly Detection. CoRR abs/2310.00797 (2023) - [i109]Boyang Zhang, Zheng Li, Ziqing Yang, Xinlei He, Michael Backes, Mario Fritz, Yang Zhang:
SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models. CoRR abs/2310.12665 (2023) - [i108]Rubèn Tito, Khanh Nguyen, Marlon Tobaben, Raouf Kerkouche, Mohamed Ali Souibgui, Kangsoo Jung, Lei Kang, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas:
Privacy-Aware Document Visual Question Answering. CoRR abs/2312.10108 (2023) - 2022
- [j13]Rakibul Hasan, Mario Fritz:
Understanding Utility and Privacy of Demographic Data in Education Technology by Causal Analysis and Adversarial-Censoring. Proc. Priv. Enhancing Technol. 2022(2): 245-262 (2022) - [c128]Shadi Rahimian, Raouf Kerkouche, Ina Kurth, Mario Fritz:
Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data. CHIL 2022: 411-425 - [c127]Moritz Böhle, Mario Fritz, Bernt Schiele:
B-cos Networks: Alignment is All We Need for Interpretability. CVPR 2022: 10319-10328 - [c126]Sahar Abdelnabi, Rakibul Hasan, Mario Fritz:
Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources. CVPR 2022: 14920-14929 - [c125]Dingfan Chen, Ning Yu, Mario Fritz:
RelaxLoss: Defending Membership Inference Attacks without Losing Utility. ICLR 2022 - [c124]Ning Yu, Vladislav Skripniuk, Dingfan Chen, Larry S. Davis, Mario Fritz:
Responsible Disclosure of Generative Models Using Scalable Fingerprinting. ICLR 2022 - [c123]Hui-Po Wang, Sebastian U. Stich, Yang He, Mario Fritz:
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training. ICML 2022: 23034-23054 - [c122]Dingfan Chen, Raouf Kerkouche, Mario Fritz:
Private Set Generation with Discriminative Information. NeurIPS 2022 - [c121]Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang:
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models. USENIX Security Symposium 2022: 4525-4542 - [e6]Björn Brücher, Christoph Krauß, Mario Fritz, Hans-Joachim Hof, Oliver Wasenmüller:
Computer Science in Cars Symposium, CSCS 2022, Ingolstadt, Germany, 8 December 2022. ACM 2022, ISBN 978-1-4503-9786-5 [contents] - [i107]Shadi Rahimian, Raouf Kerkouche, Ina Kurth, Mario Fritz:
Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data. CoRR abs/2202.03758 (2022) - [i106]Moritz Böhle, Mario Fritz, Bernt Schiele:
B-cos Networks: Alignment is All We Need for Interpretability. CoRR abs/2205.10268 (2022) - [i105]Dingfan Chen, Ning Yu, Mario Fritz:
RelaxLoss: Defending Membership Inference Attacks without Losing Utility. CoRR abs/2207.05801 (2022) - [i104]Sahar Abdelnabi, Mario Fritz:
Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems. CoRR abs/2209.03755 (2022) - [i103]Zheng Li, Ning Yu, Ahmed Salem, Michael Backes, Mario Fritz, Yang Zhang:
UnGANable: Defending Against GAN-based Face Manipulation. CoRR abs/2210.00957 (2022) - [i102]Hossein Hajipour, Ning Yu, Cristian-Alexandru Staicu, Mario Fritz:
SimSCOOD: Systematic Analysis of Out-of-Distribution Behavior of Source Code Models. CoRR abs/2210.04802 (2022) - [i101]Dingfan Chen, Raouf Kerkouche, Mario Fritz:
Private Set Generation with Discriminative Information. CoRR abs/2211.04446 (2022) - 2021
- [j12]Max Maria Losch, Mario Fritz, Bernt Schiele:
Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations. Int. J. Comput. Vis. 129(11): 3136-3153 (2021) - [c120]Sahar Abdelnabi, Mario Fritz:
What's in the box: Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models. MTD@CCS 2021: 3-12 - [c119]Shadi Rahimian, Tribhuvanesh Orekondy, Mario Fritz:
Differential Privacy Defenses and Sampling Attacks for Membership Inference. AISec@CCS 2021: 193-202 - [c118]Hui-Po Wang, Tribhuvanesh Orekondy, Mario Fritz:
InfoScrub: Towards Attribute Privacy by Targeted Obfuscation. CVPR Workshops 2021: 3281-3289 - [c117]Lucjan Hanzlik, Yang Zhang, Kathrin Grosse, Ahmed Salem, Maximilian Augustin, Michael Backes, Mario Fritz:
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service. CVPR Workshops 2021: 3300-3309 - [c116]Apratim Bhattacharyya, Daniel Olmeda Reino, Mario Fritz, Bernt Schiele:
Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers. CVPR 2021: 6408-6417 - [c115]Hui-Po Wang, Ning Yu, Mario Fritz:
Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs. CVPR 2021: 7872-7881 - [c114]Moritz Böhle, Mario Fritz, Bernt Schiele:
Convolutional Dynamic Alignment Networks for Interpretable Classifications. CVPR 2021: 10029-10038 - [c113]Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz:
Dual Contrastive Loss and Attention for GANs. ICCV 2021: 6711-6722 - [c112]Ning Yu, Vladislav Skripniuk, Sahar Abdelnabi, Mario Fritz:
Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data. ICCV 2021: 14428-14437 - [c111]Yang He, Ning Yu, Margret Keuper, Mario Fritz:
Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis. IJCAI 2021: 2534-2541 - [c110]Hossein Hajipour, Apratim Bhattacharyya, Cristian-Alexandru Staicu, Mario Fritz:
SampleFix: Learning to Generate Functionally Diverse Fixes. PKDD/ECML Workshops (2) 2021: 119-133 - [c109]Hossein Hajipour, Mateusz Malinowski, Mario Fritz:
IReEn: Reverse-Engineering of Black-Box Functions via Iterative Neural Program Synthesis. PKDD/ECML Workshops (2) 2021: 143-157 - [c108]Sahar Abdelnabi, Mario Fritz:
Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding. SP 2021: 121-140 - [c107]Qiuhong Ke, Mario Fritz, Bernt Schiele:
Future Moment Assessment for Action Query. WACV 2021: 3218-3227 - [e5]Björn Brücher, Christoph Krauß, Mario Fritz, Hans-Joachim Hof, Oliver Wasenmüller:
CSCS '21: Computer Science in Cars Symposium, Ingolstadt, Germany, 30 November 2021. ACM 2021, ISBN 978-1-4503-9139-9 [contents] - [i100]Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang:
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models. CoRR abs/2102.02551 (2021) - [i99]Sahar Abdelnabi, Mario Fritz:
"What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models. CoRR abs/2102.05104 (2021) - [i98]Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz:
Dual Contrastive Loss and Attention for GANs. CoRR abs/2103.16748 (2021) - [i97]Moritz Böhle, Mario Fritz, Bernt Schiele:
Convolutional Dynamic Alignment Networks for Interpretable Classifications. CoRR abs/2104.00032 (2021) - [i96]Yang He, Ning Yu, Margret Keuper, Mario Fritz:
Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis. CoRR abs/2105.14376 (2021) - [i95]Apratim Bhattacharyya, Daniel Olmeda Reino, Mario Fritz, Bernt Schiele:
Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers. CoRR abs/2106.12442 (2021) - [i94]Tobias Lorenz, Marta Kwiatkowska, Mario Fritz:
Backdoor Attacks on Network Certification via Data Poisoning. CoRR abs/2108.11299 (2021) - [i93]Moritz Böhle, Mario Fritz, Bernt Schiele:
Optimising for Interpretability: Convolutional Dynamic Alignment Networks. CoRR abs/2109.13004 (2021) - [i92]Hui-Po Wang, Sebastian U. Stich, Yang He, Mario Fritz:
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training. CoRR abs/2110.05323 (2021) - [i91]Sahar Abdelnabi, Rakibul Hasan, Mario Fritz:
Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources. CoRR abs/2112.00061 (2021) - 2020
- [j11]Thomas Brox, Mario Fritz:
Editor's Note. Int. J. Comput. Vis. 128(4): 969 (2020) - [j10]Hosnieh Sattar, Mario Fritz, Andreas Bulling:
Deep gaze pooling: Inferring and visually decoding search intents from human gaze fixations. Neurocomputing 387: 369-382 (2020) - [j9]Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele:
Person Recognition in Personal Photo Collections. IEEE Trans. Pattern Anal. Mach. Intell. 42(1): 203-220 (2020) - [c106]Dingfan Chen, Ning Yu, Yang Zhang, Mario Fritz:
GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models. CCS 2020: 343-362 - [c105]Sahar Abdelnabi, Katharina Krombholz, Mario Fritz:
VisualPhishNet: Zero-Day Phishing Website Detection by Visual Similarity. CCS 2020: 1681-1698 - [c104]Apratim Bhattacharyya, Shweta Mahajan, Mario Fritz, Bernt Schiele, Stefan Roth:
Normalizing Flows With Multi-Scale Autoregressive Priors. CVPR 2020: 8412-8421 - [c103]Vedika Agarwal, Rakshith Shetty, Mario Fritz:
Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing. CVPR 2020: 9687-9695 - [c102]Max Maria Losch, Mario Fritz, Bernt Schiele:
Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations. GCPR 2020: 15-29 - [c101]Saurabh Sharma, Ning Yu, Mario Fritz, Bernt Schiele:
Long-Tailed Recognition Using Class-Balanced Experts. GCPR 2020: 86-100 - [c100]Apratim Bhattacharyya, Christoph-Nikolas Straehle, Mario Fritz, Bernt Schiele:
Haar Wavelet Based Block Autoregressive Flows for Trajectories. GCPR 2020: 275-288 - [c99]Yang He, Bernt Schiele, Mario Fritz:
Synthetic Convolutional Features for Improved Semantic Segmentation. ECCV Workshops (4) 2020: 320-336 - [c98]Ning Yu, Ke Li, Peng Zhou, Jitendra Malik, Larry Davis, Mario Fritz:
Inclusive GAN: Improving Data and Minority Coverage in Generative Models. ECCV (22) 2020: 377-393 - [c97]Hosnieh Sattar, Katharina Krombholz, Gerard Pons-Moll, Mario Fritz:
Body Shape Privacy in Images: Understanding Privacy and Preventing Automatic Shape Extraction. ECCV Workshops (5) 2020: 411-428 - [c96]Rakshith Shetty, Mario Fritz, Bernt Schiele:
Towards Automated Testing and Robustification by Semantic Adversarial Data Generation. ECCV (2) 2020: 489-506 - [c95]Yang He, Shadi Rahimian, Bernt Schiele, Mario Fritz:
Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation. ECCV (23) 2020: 519-535 - [c94]Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz:
Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks. ICLR 2020 - [c93]Dingfan Chen, Tribhuvanesh Orekondy, Mario Fritz:
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators. NeurIPS 2020 - [c92]Rakibul Hasan, David J. Crandall, Mario Fritz, Apu Kapadia:
Automatically Detecting Bystanders in Photos to Reduce Privacy Risks. SP 2020: 318-335 - [c91]Ahmed Salem, Apratim Bhattacharya, Michael Backes, Mario Fritz, Yang Zhang:
Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning. USENIX Security Symposium 2020: 1291-1308 - [e4]Björn Brücher, Oliver Wasenmüller, Mario Fritz, Hans-Joachim Hof, Christoph Krauß:
CSCS '20: Computer Science in Cars Symposium, Feldkirchen, Germany, December 2, 2020. ACM 2020, ISBN 978-1-4503-7621-1 [contents] - [i90]Tahleen A. Rahman, Mario Fritz, Michael Backes, Yang Zhang:
Everything About You: A Multimodal Approach towards Friendship Inference in Online Social Networks. CoRR abs/2003.00996 (2020) - [i89]Ning Yu, Ke Li, Peng Zhou, Jitendra Malik, Larry Davis, Mario Fritz:
Inclusive GAN: Improving Data and Minority Coverage in Generative Models. CoRR abs/2004.03355 (2020) - [i88]Saurabh Sharma, Ning Yu, Mario Fritz, Bernt Schiele:
Long-Tailed Recognition Using Class-Balanced Experts. CoRR abs/2004.03706 (2020) - [i87]Shweta Mahajan, Apratim Bhattacharyya, Mario Fritz, Bernt Schiele, Stefan Roth:
Normalizing Flows with Multi-Scale Autoregressive Priors. CoRR abs/2004.03891 (2020) - [i86]Hui-Po Wang, Tribhuvanesh Orekondy, Mario Fritz:
InfoScrub: Towards Attribute Privacy by Targeted Obfuscation. CoRR abs/2005.10329 (2020) - [i85]Dingfan Chen, Tribhuvanesh Orekondy, Mario Fritz:
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators. CoRR abs/2006.08265 (2020) - [i84]Hossein Hajipour, Mateusz Malinowski, Mario Fritz:
IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis. CoRR abs/2006.10720 (2020) - [i83]Vladislav Skripniuk, Ning Yu, Sahar Abdelnabi, Mario Fritz:
Black-Box Watermarking for Generative Adversarial Networks. CoRR abs/2007.08457 (2020) - [i82]Shadi Rahimian, Tribhuvanesh Orekondy, Mario Fritz:
Sampling Attacks: Amplification of Membership Inference Attacks by Repeated Queries. CoRR abs/2009.00395 (2020) - [i81]Sahar Abdelnabi, Mario Fritz:
Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding. CoRR abs/2009.03015 (2020) - [i80]Yang He, Bernt Schiele, Mario Fritz:
Synthetic Convolutional Features for Improved Semantic Segmentation. CoRR abs/2009.08849 (2020) - [i79]Apratim Bhattacharyya, Christoph-Nikolas Straehle, Mario Fritz, Bernt Schiele:
Haar Wavelet based Block Autoregressive Flows for Trajectories. CoRR abs/2009.09878 (2020) - [i78]Hui-Po Wang, Ning Yu, Mario Fritz:
Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs. CoRR abs/2011.14107 (2020) - [i77]Yang He, Maximilian Zenk, Mario Fritz:
CosSGD: Nonlinear Quantization for Communication-efficient Federated Learning. CoRR abs/2012.08241 (2020) - [i76]Ning Yu, Vladislav Skripniuk, Dingfan Chen, Larry Davis, Mario Fritz:
Responsible Disclosure of Generative Models Using Scalable Fingerprinting. CoRR abs/2012.08726 (2020)
2010 – 2019
- 2019
- [j8]Xucong Zhang, Yusuke Sugano, Mario Fritz, Andreas Bulling:
MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 41(1): 162-175 (2019) - [c90]Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz:
Knockoff Nets: Stealing Functionality of Black-Box Models. CVPR 2019: 4954-4963 - [c89]Rakshith Shetty, Bernt Schiele, Mario Fritz:
Not Using the Car to See the Sidewalk - Quantifying and Controlling the Effects of Context in Classification and Segmentation. CVPR 2019: 8218-8226 - [c88]Qiuhong Ke, Mario Fritz, Bernt Schiele:
Time-Conditioned Action Anticipation in One Shot. CVPR 2019: 9925-9934 - [c87]Ning Yu, Larry Davis, Mario Fritz:
Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints. ICCV 2019: 7555-7565 - [c86]Maxim Maximov, Tobias Ritschel, Laura Leal-Taixé, Mario Fritz:
Deep Appearance Maps. ICCV 2019: 8728-8737 - [c85]Apratim Bhattacharyya, Mario Fritz, Bernt Schiele:
Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods. ICLR (Poster) 2019 - [c84]Ahmed Salem, Yang Zhang, Mathias Humbert, Pascal Berrang, Mario Fritz, Michael Backes:
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models. NDSS 2019 - [c83]Hosnieh Sattar, Gerard Pons-Moll, Mario Fritz:
Fashion Is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources. WACV 2019: 968-977 - [p4]Seong Joon Oh, Bernt Schiele, Mario Fritz:
Towards Reverse-Engineering Black-Box Neural Networks. Explainable AI 2019: 121-144 - [e3]Hans-Joachim Hof, Mario Fritz, Christoph Krauß, Oliver Wasenmüller:
ACM Computer Science in Cars Symposium, German Research Center for Artificial Intelligence, Kaiserslautern, Germany, October 8, 2019. ACM 2019, ISBN 978-1-4503-7004-2 [contents] - [e2]Thomas Brox, Andrés Bruhn, Mario Fritz:
Pattern Recognition - 40th German Conference, GCPR 2018, Stuttgart, Germany, October 9-12, 2018, Proceedings. Lecture Notes in Computer Science 11269, Springer 2019, ISBN 978-3-030-12938-5 [contents] - [i75]Ahmed Salem, Apratim Bhattacharyya, Michael Backes, Mario Fritz, Yang Zhang:
Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning. CoRR abs/1904.01067 (2019) - [i74]Wenbin Li, Ales Leonardis, Jeannette Bohg, Mario Fritz:
Learning Manipulation under Physics Constraints with Visual Perception. CoRR abs/1904.09860 (2019) - [i73]Hosnieh Sattar, Katharina Krombholz, Gerard Pons-Moll, Mario Fritz:
Shape Evasion: Preventing Body Shape Inference of Multi-Stage Approaches. CoRR abs/1905.11503 (2019) - [i72]Hossein Hajipour, Apratim Bhattacharyya, Mario Fritz:
SampleFix: Learning to Correct Programs by Sampling Diverse Fixes. CoRR abs/1906.10502 (2019) - [i71]Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz:
Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks. CoRR abs/1906.10908 (2019) - [i70]Max Maria Losch, Mario Fritz, Bernt Schiele:
Interpretability Beyond Classification Output: Semantic Bottleneck Networks. CoRR abs/1907.10882 (2019) - [i69]Apratim Bhattacharyya, Michael Hanselmann, Mario Fritz, Bernt Schiele, Christoph-Nikolas Straehle:
Conditional Flow Variational Autoencoders for Structured Sequence Prediction. CoRR abs/1908.09008 (2019) - [i68]Sahar Abdelnabi, Katharina Krombholz, Mario Fritz:
WhiteNet: Phishing Website Detection by Visual Whitelists. CoRR abs/1909.00300 (2019) - [i67]Dingfan Chen, Ning Yu, Yang Zhang, Mario Fritz:
GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs. CoRR abs/1909.03935 (2019) - [i66]Apratim Bhattacharyya, Mario Fritz, Bernt Schiele:
"Best-of-Many-Samples" Distribution Matching. CoRR abs/1909.12598 (2019) - [i65]Vedika Agarwal, Rakshith Shetty, Mario Fritz:
Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing. CoRR abs/1912.07538 (2019) - [i64]Yang He, Shadi Rahimian, Bernt Schiele, Mario Fritz:
Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation. CoRR abs/1912.09685 (2019) - 2018
- [j7]Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Efstratios Gavves, Mario Fritz, Luc Van Gool, Tinne Tuytelaars:
Reflectance and Natural Illumination from Single-Material Specular Objects Using Deep Learning. IEEE Trans. Pattern Anal. Mach. Intell. 40(8): 1932-1947 (2018) - [c82]Apratim Bhattacharyya, Mateusz Malinowski, Bernt Schiele, Mario Fritz:
Long-Term Image Boundary Prediction. AAAI 2018: 2720-2729 - [c81]Liqian Ma, Qianru Sun, Stamatios Georgoulis, Luc Van Gool, Bernt Schiele, Mario Fritz:
Disentangled Person Image Generation. CVPR 2018: 99-108 - [c80]Apratim Bhattacharyya, Mario Fritz, Bernt Schiele:
Long-Term On-Board Prediction of People in Traffic Scenes Under Uncertainty. CVPR 2018: 4194-4202 - [c79]Qianru Sun, Liqian Ma, Seong Joon Oh, Luc Van Gool, Bernt Schiele, Mario Fritz:
Natural and Effective Obfuscation by Head Inpainting. CVPR 2018: 5050-5059 - [c78]Tribhuvanesh Orekondy, Mario Fritz, Bernt Schiele:
Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images. CVPR 2018: 8466-8475 - [c77]Apratim Bhattacharyya, Bernt Schiele, Mario Fritz:
Accurate and Diverse Sampling of Sequences Based on a "Best of Many" Sample Objective. CVPR 2018: 8485-8493 - [c76]Yang He, Bernt Schiele, Mario Fritz:
Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes. ECCV (16) 2018: 422-437 - [c75]Alexander Freytag, Vittorio Ferrari, Mario Fritz, Uwe Franke, Terrance E. Boult, Juergen Gall, Walter J. Scheirer, Angela Yao, Erik Rodner:
Workshop on Interactive and Adaptive Learning in an Open World. ECCV Workshops (6) 2018: 487-493 - [c74]Misha Wagner, Hector Basevi, Rakshith Shetty, Wenbin Li, Mateusz Malinowski, Mario Fritz, Ales Leonardis:
Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions. ECCV Workshops (1) 2018: 521-537 - [c73]Qianru Sun, Ayush Tewari, Weipeng Xu, Mario Fritz, Christian Theobalt, Bernt Schiele:
A Hybrid Model for Identity Obfuscation by Face Replacement. ECCV (1) 2018: 570-586 - [c72]Seong Joon Oh, Max Augustin, Mario Fritz, Bernt Schiele:
Towards Reverse-Engineering Black-Box Neural Networks. ICLR (Poster) 2018 - [c71]Rakshith Shetty, Mario Fritz, Bernt Schiele:
Adversarial Scene Editing: Automatic Object Removal from Weak Supervision. NeurIPS 2018: 7717-7727 - [c70]Rakshith Shetty, Bernt Schiele, Mario Fritz:
A4NT: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation. USENIX Security Symposium 2018: 1633-1650 - [i63]Maxim Maximov, Tobias Ritschel, Mario Fritz:
Deep Appearance Maps. CoRR abs/1804.00863 (2018) - [i62]Qianru Sun, Ayush Tewari, Weipeng Xu, Mario Fritz, Christian Theobalt, Bernt Schiele:
A Hybrid Model for Identity Obfuscation by Face Replacement. CoRR abs/1804.04779 (2018) - [i61]Tribhuvanesh Orekondy, Seong Joon Oh, Bernt Schiele, Mario Fritz:
Understanding and Controlling User Linkability in Decentralized Learning. CoRR abs/1805.05838 (2018) - [i60]Edgar Tretschk, Seong Joon Oh, Mario Fritz:
Sequential Attacks on Agents for Long-Term Adversarial Goals. CoRR abs/1805.12487 (2018) - [i59]Ahmed Salem, Yang Zhang, Mathias Humbert, Mario Fritz, Michael Backes:
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models. CoRR abs/1806.01246 (2018) - [i58]Rakshith Shetty, Mario Fritz, Bernt Schiele:
Adversarial Scene Editing: Automatic Object Removal from Weak Supervision. CoRR abs/1806.01911 (2018) - [i57]Apratim Bhattacharyya, Bernt Schiele, Mario Fritz:
Accurate and Diverse Sampling of Sequences based on a "Best of Many" Sample Objective. CoRR abs/1806.07772 (2018) - [i56]Hosnieh Sattar, Gerard Pons-Moll, Mario Fritz:
Fashion is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources. CoRR abs/1807.03235 (2018) - [i55]Lucjan Hanzlik, Yang Zhang, Kathrin Grosse, Ahmed Salem, Max Augustin, Michael Backes, Mario Fritz:
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service. CoRR abs/1808.00590 (2018) - [i54]Yang He, Bernt Schiele, Mario Fritz:
Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes. CoRR abs/1808.01121 (2018) - [i53]Misha Wagner, Hector Basevi, Rakshith Shetty, Wenbin Li, Mateusz Malinowski, Mario Fritz, Ales Leonardis:
Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions. CoRR abs/1809.03707 (2018) - [i52]Apratim Bhattacharyya, Mario Fritz, Bernt Schiele:
Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods. CoRR abs/1810.00746 (2018) - [i51]Ning Yu, Larry Davis, Mario Fritz:
Attributing Fake Images to GANs: Analyzing Fingerprints in Generated Images. CoRR abs/1811.08180 (2018) - [i50]Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz:
Knockoff Nets: Stealing Functionality of Black-Box Models. CoRR abs/1812.02766 (2018) - [i49]Rakshith Shetty, Bernt Schiele, Mario Fritz:
Not Using the Car to See the Sidewalk: Quantifying and Controlling the Effects of Context in Classification and Segmentation. CoRR abs/1812.06707 (2018) - 2017
- [j6]Mateusz Malinowski, Marcus Rohrbach, Mario Fritz:
Ask Your Neurons: A Deep Learning Approach to Visual Question Answering. Int. J. Comput. Vis. 125(1-3): 110-135 (2017) - [j5]Konstantinos Rematas, Chuong H. Nguyen, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars:
Novel Views of Objects from a Single Image. IEEE Trans. Pattern Anal. Mach. Intell. 39(8): 1576-1590 (2017) - [c69]Wenbin Li, Ales Leonardis, Mario Fritz:
Visual Stability Prediction and Its Application to Manipulation. AAAI Spring Symposia 2017 - [c68]Qianru Sun, Bernt Schiele, Mario Fritz:
A Domain Based Approach to Social Relation Recognition. CVPR 2017: 435-444 - [c67]Xucong Zhang, Yusuke Sugano, Mario Fritz, Andreas Bulling:
It's Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation. CVPR Workshops 2017: 2299-2308 - [c66]Seong Joon Oh, Rodrigo Benenson, Anna Khoreva, Zeynep Akata, Mario Fritz, Bernt Schiele:
Exploiting Saliency for Object Segmentation from Image Level Labels. CVPR 2017: 5038-5047 - [c65]Yang He, Wei-Chen Chiu, Margret Keuper, Mario Fritz:
STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling. CVPR 2017: 7158-7167 - [c64]Yang He, Margret Keuper, Bernt Schiele, Mario Fritz:
Learning Dilation Factors for Semantic Segmentation of Street Scenes. GCPR 2017: 41-51 - [c63]Seong Joon Oh, Mario Fritz, Bernt Schiele:
Adversarial Image Perturbation for Privacy Protection A Game Theory Perspective. ICCV 2017: 1491-1500 - [c62]Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz:
Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images. ICCV 2017: 3706-3715 - [c61]Rakshith Shetty, Marcus Rohrbach, Lisa Anne Hendricks, Mario Fritz, Bernt Schiele:
Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training. ICCV 2017: 4155-4164 - [c60]Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars, Luc Van Gool:
What is Around the Camera? ICCV 2017: 5180-5188 - [c59]Hosnieh Sattar, Andreas Bulling, Mario Fritz:
Predicting the Category and Attributes of Visual Search Targets Using Deep Gaze Pooling. ICCV Workshops 2017: 2740-2748 - [c58]Wenbin Li, Ales Leonardis, Mario Fritz:
Visual stability prediction for robotic manipulation. ICRA 2017: 2606-2613 - [i48]Seong Joon Oh, Rodrigo Benenson, Anna Khoreva, Zeynep Akata, Mario Fritz, Bernt Schiele:
Exploiting saliency for object segmentation from image level labels. CoRR abs/1701.08261 (2017) - [i47]Seong Joon Oh, Mario Fritz, Bernt Schiele:
Adversarial Image Perturbation for Privacy Protection - A Game Theory Perspective. CoRR abs/1703.09471 (2017) - [i46]Rakshith Shetty, Marcus Rohrbach, Lisa Anne Hendricks, Mario Fritz, Bernt Schiele:
Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training. CoRR abs/1703.10476 (2017) - [i45]Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz:
Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images. CoRR abs/1703.10660 (2017) - [i44]Qianru Sun, Bernt Schiele, Mario Fritz:
A Domain Based Approach to Social Relation Recognition. CoRR abs/1704.06456 (2017) - [i43]Hosnieh Sattar, Mario Fritz, Andreas Bulling:
Visual Decoding of Targets During Visual Search From Human Eye Fixations. CoRR abs/1706.05993 (2017) - [i42]Seyedmajid Azimi, Dominik Britz, Michael Engstler, Mario Fritz, Frank Mücklich:
Advanced Steel Microstructure Classification by Deep Learning Methods. CoRR abs/1706.06480 (2017) - [i41]Yang He, Margret Keuper, Bernt Schiele, Mario Fritz:
Learning Dilation Factors for Semantic Segmentation of Street Scenes. CoRR abs/1709.01956 (2017) - [i40]Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele:
Person Recognition in Social Media Photos. CoRR abs/1710.03224 (2017) - [i39]Wenbin Li, Jeannette Bohg, Mario Fritz:
Acquiring Target Stacking Skills by Goal-Parameterized Deep Reinforcement Learning. CoRR abs/1711.00267 (2017) - [i38]Seong Joon Oh, Max Augustin, Bernt Schiele, Mario Fritz:
Whitening Black-Box Neural Networks. CoRR abs/1711.01768 (2017) - [i37]Rakshith Shetty, Bernt Schiele, Mario Fritz:
A4NT: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation. CoRR abs/1711.01921 (2017) - [i36]Qianru Sun, Liqian Ma, Seong Joon Oh, Luc Van Gool, Bernt Schiele, Mario Fritz:
Natural and Effective Obfuscation by Head Inpainting. CoRR abs/1711.09001 (2017) - [i35]Xucong Zhang, Yusuke Sugano, Mario Fritz, Andreas Bulling:
MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation. CoRR abs/1711.09017 (2017) - [i34]Apratim Bhattacharyya, Mario Fritz, Bernt Schiele:
Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty. CoRR abs/1711.09026 (2017) - [i33]Tribhuvanesh Orekondy, Mario Fritz, Bernt Schiele:
Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images. CoRR abs/1712.01066 (2017) - [i32]Liqian Ma, Qianru Sun, Stamatios Georgoulis, Luc Van Gool, Bernt Schiele, Mario Fritz:
Disentangled Person Image Generation. CoRR abs/1712.02621 (2017) - 2016
- [j4]Hyun Oh Song, Mario Fritz, Daniel Goehring, Trevor Darrell:
Learning to Detect Visual Grasp Affordance. IEEE Trans Autom. Sci. Eng. 13(2): 798-809 (2016) - [c57]Wei-Chen Chiu, Fabio Galasso, Mario Fritz:
Towards Segmenting Consumer Stereo Videos: Benchmark, Baselines and Ensembles. ACCV (5) 2016: 378-395 - [c56]Mateusz Malinowski, Ashkan Mokarian, Mario Fritz:
Mean Box Pooling: A Rich Image Representation and Output Embedding for the Visual Madlibs Task. BMVC 2016 - [c55]Zeynep Akata, Mateusz Malinowski, Mario Fritz, Bernt Schiele:
Multi-cue Zero-Shot Learning with Strong Supervision. CVPR 2016: 59-68 - [c54]Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Efstratios Gavves, Tinne Tuytelaars:
Deep Reflectance Maps. CVPR 2016: 4508-4516 - [c53]Jonas Scheer, Mario Fritz, Oliver Grau:
Learning to Select Long-Track Features for Structure-From-Motion and Visual SLAM. GCPR 2016: 402-413 - [c52]Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele:
Faceless Person Recognition: Privacy Implications in Social Media. ECCV (3) 2016: 19-35 - [c51]Abhishek Sharma, Oliver Grau, Mario Fritz:
VConv-DAE: Deep Volumetric Shape Learning Without Object Labels. ECCV Workshops (3) 2016: 236-250 - [c50]Sreyasi Nag Chowdhury, Mateusz Malinowski, Andreas Bulling, Mario Fritz:
Xplore-M-Ego: Contextual Media Retrieval Using Natural Language Queries. ICMR 2016: 243-247 - [c49]Paarijaat Aditya, Rijurekha Sen, Peter Druschel, Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele, Bobby Bhattacharjee, Tong Tong Wu:
Demo: I-Pic: A Platform for Privacy-Compliant Image Capture. MobiSys (Companion Volume) 2016: 93 - [c48]Paarijaat Aditya, Rijurekha Sen, Peter Druschel, Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele, Bobby Bhattacharjee, Tong Tong Wu:
I-Pic: A Platform for Privacy-Compliant Image Capture. MobiSys 2016: 235-248 - [c47]Wenbin Li, Mario Fritz:
Recognition of ongoing complex activities by sequence prediction over a hierarchical label space. WACV 2016: 1-9 - [i31]Konstantinos Rematas, Chuong H. Nguyen, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars:
Novel Views of Objects from a Single Image. CoRR abs/1602.00328 (2016) - [i30]Sreyasi Nag Chowdhury, Mateusz Malinowski, Andreas Bulling, Mario Fritz:
Contextual Media Retrieval Using Natural Language Queries. CoRR abs/1602.04983 (2016) - [i29]Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Luc Van Gool, Tinne Tuytelaars:
DeLight-Net: Decomposing Reflectance Maps into Specular Materials and Natural Illumination. CoRR abs/1603.08240 (2016) - [i28]Zeynep Akata, Mateusz Malinowski, Mario Fritz, Bernt Schiele:
Multi-Cue Zero-Shot Learning with Strong Supervision. CoRR abs/1603.08754 (2016) - [i27]Wenbin Li, Seyedmajid Azimi, Ales Leonardis, Mario Fritz:
To Fall Or Not To Fall: A Visual Approach to Physical Stability Prediction. CoRR abs/1604.00066 (2016) - [i26]Yang He, Wei-Chen Chiu, Margret Keuper, Mario Fritz:
RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling. CoRR abs/1604.02388 (2016) - [i25]Abhishek Sharma, Oliver Grau, Mario Fritz:
VConv-DAE: Deep Volumetric Shape Learning Without Object Labels. CoRR abs/1604.03755 (2016) - [i24]Mateusz Malinowski, Marcus Rohrbach, Mario Fritz:
Ask Your Neurons: A Deep Learning Approach to Visual Question Answering. CoRR abs/1605.02697 (2016) - [i23]Apratim Bhattacharyya, Mateusz Malinowski, Mario Fritz:
Spatio-Temporal Image Boundary Extrapolation. CoRR abs/1605.07363 (2016) - [i22]Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele:
Faceless Person Recognition; Privacy Implications in Social Media. CoRR abs/1607.08438 (2016) - [i21]Ashkan Mokarian, Mateusz Malinowski, Mario Fritz:
Mean Box Pooling: A Rich Image Representation and Output Embedding for the Visual Madlibs Task. CoRR abs/1608.02717 (2016) - [i20]Wei-Chen Chiu, Fabio Galasso, Mario Fritz:
Towards Segmenting Consumer Stereo Videos: Benchmark, Baselines and Ensembles. CoRR abs/1609.00836 (2016) - [i19]Wenbin Li, Ales Leonardis, Mario Fritz:
Visual Stability Prediction and Its Application to Manipulation. CoRR abs/1609.04861 (2016) - [i18]Mateusz Malinowski, Mario Fritz:
Tutorial on Answering Questions about Images with Deep Learning. CoRR abs/1610.01076 (2016) - [i17]Apratim Bhattacharyya, Mateusz Malinowski, Bernt Schiele, Mario Fritz:
Long-Term Image Boundary Extrapolation. CoRR abs/1611.08841 (2016) - [i16]Xucong Zhang, Yusuke Sugano, Mario Fritz, Andreas Bulling:
It's Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation. CoRR abs/1611.08860 (2016) - [i15]Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars, Luc Van Gool:
Natural Illumination from Multiple Materials Using Deep Learning. CoRR abs/1611.09325 (2016) - [i14]Hosnieh Sattar, Andreas Bulling, Mario Fritz:
Predicting the Category and Attributes of Mental Pictures Using Deep Gaze Pooling. CoRR abs/1611.10162 (2016) - 2015
- [c46]Hosnieh Sattar, Sabine Müller, Mario Fritz, Andreas Bulling:
Prediction of search targets from fixations in open-world settings. CVPR 2015: 981-990 - [c45]Xucong Zhang, Yusuke Sugano, Mario Fritz, Andreas Bulling:
Appearance-based gaze estimation in the wild. CVPR 2015: 4511-4520 - [c44]Wenbin Li, Mario Fritz:
Teaching robots the use of human tools from demonstration with non-dexterous end-effectors. Humanoids 2015: 547-553 - [c43]Mateusz Malinowski, Marcus Rohrbach, Mario Fritz:
Ask Your Neurons: A Neural-Based Approach to Answering Questions about Images. ICCV 2015: 1-9 - [c42]Walon Wei-Chen Chiu, Mario Fritz:
See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG. ICCV 2015: 468-476 - [c41]Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele:
Person Recognition in Personal Photo Collections. ICCV 2015: 3862-3870 - [c40]Julia Seiter, Walon Wei-Chen Chiu, Mario Fritz, Oliver Amft, Gerhard Tröster:
Joint segmentation and activity discovery using semantic and temporal priors. PerCom 2015: 71-78 - [i13]Mateusz Malinowski, Mario Fritz:
Hard to Cheat: A Turing Test based on Answering Questions about Images. CoRR abs/1501.03302 (2015) - [i12]Hosnieh Sattar, Sabine Müller, Mario Fritz, Andreas Bulling:
Prediction of search targets from fixations in open-world settings. CoRR abs/1502.05137 (2015) - [i11]Xucong Zhang, Yusuke Sugano, Mario Fritz, Andreas Bulling:
Appearance-Based Gaze Estimation in the Wild. CoRR abs/1504.02863 (2015) - [i10]Walon Wei-Chen Chiu, Mario Fritz:
See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG. CoRR abs/1505.00663 (2015) - [i9]Mateusz Malinowski, Marcus Rohrbach, Mario Fritz:
Ask Your Neurons: A Neural-based Approach to Answering Questions about Images. CoRR abs/1505.01121 (2015) - [i8]Iaroslav Shcherbatyi, Andreas Bulling, Mario Fritz:
GazeDPM: Early Integration of Gaze Information in Deformable Part Models. CoRR abs/1505.05753 (2015) - [i7]Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele:
Person Recognition in Personal Photo Collections. CoRR abs/1509.03502 (2015) - [i6]Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Efstratios Gavves, Tinne Tuytelaars:
Deep Reflectance Maps. CoRR abs/1511.04384 (2015) - 2014
- [c39]Walon Wei-Chen Chiu, Gregory Johnson, Daniel McCulley, Oliver Grau, Mario Fritz:
Object Disambiguation for Augmented Reality Applications. BMVC 2014 - [c38]Sergey Karayev, Mario Fritz, Trevor Darrell:
Anytime Recognition of Objects and Scenes. CVPR 2014: 572-579 - [c37]Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars:
Image-Based Synthesis and Re-synthesis of Viewpoints Guided by 3D Models. CVPR 2014: 3898-3905 - [c36]Mark Simkin, Dominique Schröder, Andreas Bulling, Mario Fritz:
Ubic: Bridging the Gap between Digital Cryptography and the Physical World. ESORICS (1) 2014: 56-75 - [c35]Mateusz Malinowski, Mario Fritz:
A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input. NIPS 2014: 1682-1690 - [i5]Mark Simkin, Andreas Bulling, Mario Fritz, Dominique Schröder:
Ubic: Bridging the gap between digital cryptography and the physical world. CoRR abs/1403.1343 (2014) - [i4]Wenbin Li, Mario Fritz:
Learning Multi-Scale Representations for Material Classification. CoRR abs/1408.2938 (2014) - [i3]Mateusz Malinowski, Mario Fritz:
A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input. CoRR abs/1410.0210 (2014) - [i2]Mateusz Malinowski, Mario Fritz:
Towards a Visual Turing Challenge. CoRR abs/1410.8027 (2014) - [i1]Mateusz Malinowski, Mario Fritz:
A Pooling Approach to Modelling Spatial Relations for Image Retrieval and Annotation. CoRR abs/1411.5190 (2014) - 2013
- [c34]Mateusz Malinowski, Mario Fritz:
Learning Smooth Pooling Regions for Visual Recognition. BMVC 2013 - [c33]Walon Wei-Chen Chiu, Mario Fritz:
Multi-class Video Co-segmentation with a Generative Multi-video Model. CVPR 2013: 321-328 - [c32]Evgeny Levinkov, Mario Fritz:
Sequential Bayesian Model Update under Structured Scene Prior for Semantic Road Scenes Labeling. ICCV 2013: 1321-1328 - [c31]Mateusz Malinowski, Mario Fritz:
Learnable Pooling Regions for Image Classification. ICLR (Workshop Poster) 2013 - [p3]Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, Trevor Darrell:
A Category-Level 3D Object Dataset: Putting the Kinect to Work. Consumer Depth Cameras for Computer Vision 2013: 141-165 - 2012
- [j3]Stephen Miller, Jur van den Berg, Mario Fritz, Trevor Darrell, Kenneth Y. Goldberg, Pieter Abbeel:
A geometric approach to robotic laundry folding. Int. J. Robotics Res. 31(2): 249-267 (2012) - [c30]Konstantinos Rematas, Mario Fritz, Tinne Tuytelaars:
The Pooled NBNN Kernel: Beyond Image-to-Class and Image-to-Image. ACCV (1) 2012: 176-189 - [c29]Sandra Ebert, Mario Fritz, Bernt Schiele:
Semi-Supervised Learning on a Budget: Scaling Up to Large Datasets. ACCV (1) 2012: 232-245 - [c28]Sandra Ebert, Mario Fritz, Bernt Schiele:
RALF: A reinforced active learning formulation for object class recognition. CVPR 2012: 3626-3633 - [c27]Sandra Ebert, Mario Fritz, Bernt Schiele:
Active Metric Learning for Object Recognition. DAGM/OAGM Symposium 2012: 327-336 - [c26]Wenbin Li, Mario Fritz:
Recognizing Materials from Virtual Examples. ECCV (4) 2012: 345-358 - [c25]Hyun Oh Song, Stefan Zickler, Tim Althoff, Ross B. Girshick, Mario Fritz, Christopher Geyer, Pedro F. Felzenszwalb, Trevor Darrell:
Sparselet Models for Efficient Multiclass Object Detection. ECCV (2) 2012: 802-815 - [c24]Sergey Karayev, Tobias Baumgartner, Mario Fritz, Trevor Darrell:
Timely Object Recognition. NIPS 2012: 899-907 - 2011
- [c23]Walon Wei-Chen Chiu, Ulf Blanke, Mario Fritz:
Improving the Kinect by Cross-Modal Stereo. BMVC 2011: 1-10 - [c22]Sergey Karayev, Mario Fritz, Sanja Fidler, Trevor Darrell:
A probabilistic model for recursive factorized image features. CVPR 2011: 401-408 - [c21]Sandra Ebert, Mario Fritz, Bernt Schiele:
Pick Your Neighborhood - Improving Labels and Neighborhood Structure for Label Propagation. DAGM-Symposium 2011: 152-162 - [c20]Tinne Tuytelaars, Mario Fritz, Kate Saenko, Trevor Darrell:
The NBNN kernel. ICCV 2011: 1824-1831 - [c19]Hyun Oh Song, Mario Fritz, Chunhui Gu, Trevor Darrell:
Visual grasp affordances from appearance-based cues. ICCV Workshops 2011: 998-1005 - [c18]Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, Trevor Darrell:
A category-level 3-D object dataset: Putting the Kinect to work. ICCV Workshops 2011: 1168-1174 - [c17]Walon Wei-Chen Chiu, Ulf Blanke, Mario Fritz:
I spy with my little eye: Learning optimal filters for cross-modal stereo under projected patterns. ICCV Workshops 2011: 1209-1214 - [c16]Stephen Miller, Mario Fritz, Trevor Darrell, Pieter Abbeel:
Parametrized shape models for clothing. ICRA 2011: 4861-4868 - [c15]Kate Saenko, Sergey Karayev, Yangqing Jia, Alex Shyr, Allison Janoch, Jonathan Long, Mario Fritz, Trevor Darrell:
Practical 3-D object detection using category and instance-level appearance models. IROS 2011: 793-800 - [c14]Ping Chuan Wang, Stephen Miller, Mario Fritz, Trevor Darrell, Pieter Abbeel:
Perception for the manipulation of socks. IROS 2011: 4877-4884 - 2010
- [j2]Mario Fritz, Geert-Jan M. Kruijff, Bernt Schiele:
Tutor-based learning of visual categories using different levels of supervision. Comput. Vis. Image Underst. 114(5): 564-573 (2010) - [j1]Barbara Caputo, Eric Hayman, Mario Fritz, Jan-Olof Eklundh:
Classifying materials in the real world. Image Vis. Comput. 28(1): 150-163 (2010) - [c13]Kate Saenko, Brian Kulis, Mario Fritz, Trevor Darrell:
Adapting Visual Category Models to New Domains. ECCV (4) 2010: 213-226 - [c12]Mario Fritz, Kate Saenko, Trevor Darrell:
Size Matters: Metric Visual Search Constraints from Monocular Metadata. NIPS 2010: 622-630 - [p2]Mario Fritz, Mykhaylo Andriluka, Sanja Fidler, Michael Stark, Ales Leonardis, Bernt Schiele:
Categorical Perception. Cognitive Systems 2010: 131-164 - [p1]Danijel Skocaj, Matej Kristan, Alen Vrecko, Ales Leonardis, Mario Fritz, Michael Stark, Bernt Schiele, Somboon Hongeng, Jeremy L. Wyatt:
Multi-modal Learning. Cognitive Systems 2010: 265-309
2000 – 2009
- 2009
- [c11]Paul Schnitzspan, Mario Fritz, Stefan Roth, Bernt Schiele:
Discriminative structure learning of hierarchical representations for object detection. CVPR 2009: 2238-2245 - [c10]Mario Fritz, Michael J. Black, Gary R. Bradski, Sergey Karayev, Trevor Darrell:
An Additive Latent Feature Model for Transparent Object Recognition. NIPS 2009: 558-566 - [e1]Mario Fritz, Bernt Schiele, Justus H. Piater:
Computer Vision Systems, 7th International Conference on Computer Vision Systems, ICVS 2009, Liège, Belgium, October 13-15, 2009, Proceedings. Lecture Notes in Computer Science 5815, Springer 2009, ISBN 978-3-642-04666-7 [contents] - 2008
- [b1]Mario Fritz:
Modeling, representing and learning of visual categories. Darmstadt University of Technology, Germany, 2008, pp. 1-128 - [c9]Mario Fritz, Bernt Schiele:
Decomposition, discovery and detection of visual categories using topic models. CVPR 2008 - [c8]Paul Schnitzspan, Mario Fritz, Bernt Schiele:
Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features. ECCV (2) 2008: 527-540 - [c7]Tâm Huynh, Mario Fritz, Bernt Schiele:
Discovery of activity patterns using topic models. UbiComp 2008: 10-19 - 2007
- [c6]Edgar Seemann, Mario Fritz, Bernt Schiele:
Towards Robust Pedestrian Detection in Crowded Image Sequences. CVPR 2007 - 2006
- [c5]Mario Fritz, Bernt Schiele:
Towards Unsupervised Discovery of Visual Categories. DAGM-Symposium 2006: 232-241 - 2005
- [c4]Mario Fritz, Bastian Leibe, Barbara Caputo, Bernt Schiele:
Integrating Representative and Discriminative Models for Object Category Detection. ICCV 2005: 1363-1370 - [c3]Mark Everingham, Andrew Zisserman, Christopher K. I. Williams, Luc Van Gool, Moray Allan, Christopher M. Bishop, Olivier Chapelle, Navneet Dalal, Thomas Deselaers, Gyuri Dorkó, Stefan Duffner, Jan Eichhorn, Jason D. R. Farquhar, Mario Fritz, Christophe Garcia, Tom Griffiths, Frédéric Jurie, Daniel Keysers, Markus Koskela, Jorma Laaksonen, Diane Larlus, Bastian Leibe, Hongying Meng, Hermann Ney, Bernt Schiele, Cordelia Schmid, Edgar Seemann, John Shawe-Taylor, Amos J. Storkey, Sándor Szedmák, Bill Triggs, Ilkay Ulusoy, Ville Viitaniemi, Jianguo Zhang:
The 2005 PASCAL Visual Object Classes Challenge. MLCW 2005: 117-176 - 2004
- [c2]Eric Hayman, Barbara Caputo, Mario Fritz, Jan-Olof Eklundh:
On the Significance of Real-World Conditions for Material Classification. ECCV (4) 2004: 253-266 - 2002
- [c1]Matthias Zobel, Mario Fritz, Ingo Scholz:
Object Tracking and Pose Estimation Using Light-Field Object Models. VMV 2002: 371-378
Coauthor Index
Apratim Bhattacharyya
aka: Apratim Bhattacharya
aka: Apratim Bhattacharya
Walon Wei-Chen Chiu
aka: Wei-Chen Chiu
aka: Wei-Chen Chiu
[j17] [c145] [c143] [i145] [j14] [c132] [i124] [i116] [i113] [c127] [i106] [j12] [c116] [c114] [c107] [i97] [i95] [i93] [j9] [c104] [c102] [c101] [c100] [c99] [c96] [c95] [c94] [i88] [i87] [i80] [i79] [c90] [c89] [c88] [c85] [p4] [i71] [i70] [i69] [i66] [i64] [c82] [c81] [c80] [c79] [c78] [c77] [c76] [c73] [c72] [c71] [c70] [i62] [i61] [i58] [i57] [i54] [i52] [i50] [i49] [c68] [c66] [c64] [c63] [c62] [c61] [i48] [i47] [i46] [i45] [i44] [i41] [i40] [i38] [i37] [i36] [i34] [i33] [i32] [c55] [c52] [c49] [c48] [i28] [i22] [i17] [c41] [i7] [c29] [c28] [c27] [c21] [j2] [p2] [p1] [c11] [e1] [c9] [c8] [c7] [c6] [c5] [c4] [c3]
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