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2020 – today
- 2024
[j1]Chengzhi Mao
, Zhifeng Wu, Yingjie Liu, Zhiwei Shi:
Matrix Factorization Recommendation Algorithm Based on Attention Interaction. Symmetry 16(3): 267 (2024)- [c24]Chenshuang Zhang, Fei Pan, Junmo Kim, In So Kweon, Chengzhi Mao:
ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object. CVPR 2024: 21752-21762 - [c23]James Wang, Ran Li, Junfeng Yang, Chengzhi Mao:
RAFT: Realistic Attacks to Fool Text Detectors. EMNLP 2024: 16923-16936 - [c22]Haozhe Chen, Junfeng Yang, Carl Vondrick, Chengzhi Mao:
INViTE: INterpret and Control Vision-Language Models with Text Explanations. ICLR 2024 - [c21]Chengzhi Mao, Carl Vondrick, Hao Wang, Junfeng Yang:
Raidar: geneRative AI Detection viA Rewriting. ICLR 2024 - [c20]Haozhe Chen, Carl Vondrick, Chengzhi Mao:
SelfIE: Self-Interpretation of Large Language Model Embeddings. ICML 2024 - [c19]Md Mahbubur Rahman, Ira Ceka, Chengzhi Mao, Saikat Chakraborty, Baishakhi Ray, Wei Le:
Towards Causal Deep Learning for Vulnerability Detection. ICSE 2024: 153:1-153:11 - [i33]Chengzhi Mao, Carl Vondrick, Hao Wang, Junfeng Yang:
Raidar: geneRative AI Detection viA Rewriting. CoRR abs/2401.12970 (2024) - [i32]Haozhe Chen, Carl Vondrick, Chengzhi Mao:
SelfIE: Self-Interpretation of Large Language Model Embeddings. CoRR abs/2403.10949 (2024) - [i31]Chenshuang Zhang, Fei Pan, Junmo Kim, In So Kweon, Chengzhi Mao:
ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object. CoRR abs/2403.18775 (2024) - [i30]Qingyuan Liu, Pengyuan Shi, Yun-Yun Tsai, Chengzhi Mao, Junfeng Yang:
Turns Out I'm Not Real: Towards Robust Detection of AI-Generated Videos. CoRR abs/2406.09601 (2024) - [i29]Wei Hao, Ran Li, Weiliang Zhao, Junfeng Yang, Chengzhi Mao:
Learning to Rewrite: Generalized LLM-Generated Text Detection. CoRR abs/2408.04237 (2024) - [i28]James Wang, Ran Li, Junfeng Yang, Chengzhi Mao:
RAFT: Realistic Attacks to Fool Text Detectors. CoRR abs/2410.03658 (2024) - [i27]Leon Zhou, Junfeng Yang, Chengzhi Mao:
SPIN: Self-Supervised Prompt INjection. CoRR abs/2410.13236 (2024) - [i26]Zirui Zhang, Wei Hao, Aroon Sankoh, William Lin, Emanuel Mendiola-Ortiz, Junfeng Yang, Chengzhi Mao:
I Can Hear You: Selective Robust Training for Deepfake Audio Detection. CoRR abs/2411.00121 (2024) - 2023
- [c18]Chengzhi Mao, Revant Teotia, Amrutha Sundar, Sachit Menon, Junfeng Yang, Xin Wang, Carl Vondrick:
Doubly Right Object Recognition: A Why Prompt for Visual Rationales. CVPR 2023: 2722-2732 - [c17]Ruoshi Liu, Sachit Menon, Chengzhi Mao, Dennis Park, Simon Stent, Carl Vondrick:
What You Can Reconstruct from a Shadow. CVPR 2023: 17059-17068 - [c16]Ruoshi Liu, Chengzhi Mao, Purva Tendulkar, Hao Wang, Carl Vondrick:
Landscape Learning for Neural Network Inversion. ICCV 2023: 2239-2250 - [c15]Chengzhi Mao, Scott Geng, Junfeng Yang, Xin Wang, Carl Vondrick:
Understanding Zero-shot Adversarial Robustness for Large-Scale Models. ICLR 2023 - [c14]Chengzhi Mao, Lingyu Zhang, Abhishek Vaibhav Joshi, Junfeng Yang, Hao Wang, Carl Vondrick:
Robust Perception through Equivariance. ICML 2023: 23852-23870 - [c13]Yun-Yun Tsai, Chengzhi Mao, Junfeng Yang:
Convolutional Visual Prompt for Robust Visual Perception. NeurIPS 2023 - [i25]Yun-Yun Tsai, Chengzhi Mao, Yow-Kuan Lin, Junfeng Yang:
Self-Supervised Convolutional Visual Prompts. CoRR abs/2303.00198 (2023) - [i24]Yun-Yun Tsai, Ju-Chin Chao, Albert Wen, Zhaoyuan Yang, Chengzhi Mao, Tapan Shah, Junfeng Yang:
Test-time Detection and Repair of Adversarial Samples via Masked Autoencoder. CoRR abs/2303.12848 (2023) - [i23]Wei Hao, Zixi Wang, Lauren Hong, Lingxiao Li, Nader Karayanni, Chengzhi Mao, Junfeng Yang, Asaf Cidon:
Monitoring and Adapting ML Models on Mobile Devices. CoRR abs/2305.07772 (2023) - [i22]Md Mahbubur Rahman, Ira Ceka, Chengzhi Mao, Saikat Chakraborty, Baishakhi Ray, Wei Le:
Towards Causal Deep Learning for Vulnerability Detection. CoRR abs/2310.07958 (2023) - [i21]Haozhe Chen, Junfeng Yang, Carl Vondrick, Chengzhi Mao:
Interpreting and Controlling Vision Foundation Models via Text Explanations. CoRR abs/2310.10591 (2023) - [i20]Noah Thomas McDermott, Junfeng Yang, Chengzhi Mao:
Robustifying Language Models with Test-Time Adaptation. CoRR abs/2310.19177 (2023) - 2022
- [c12]Chengzhi Mao, Kevin Xia, James Wang, Hao Wang, Junfeng Yang, Elias Bareinboim, Carl Vondrick:
Causal Transportability for Visual Recognition. CVPR 2022: 7511-7521 - [c11]Mia Chiquier, Chengzhi Mao, Carl Vondrick:
Real-Time Neural Voice Camouflage. ICLR 2022 - [c10]Chengzhi Mao, Lu Jiang, Mostafa Dehghani, Carl Vondrick, Rahul Sukthankar, Irfan Essa:
Discrete Representations Strengthen Vision Transformer Robustness. ICLR 2022 - [c9]Wei Hao, Aahil Awatramani, Jiayang Hu, Chengzhi Mao, Pin-Chun Chen, Eyal Cidon, Asaf Cidon, Junfeng Yang:
A Tale of Two Models: Constructing Evasive Attacks on Edge Models. MLSys 2022 - [i19]Matthew Lawhon, Chengzhi Mao, Junfeng Yang:
Using Multiple Self-Supervised Tasks Improves Model Robustness. CoRR abs/2204.03714 (2022) - [i18]Wei Hao, Aahil Awatramani, Jiayang Hu, Chengzhi Mao, Pin-Chun Chen, Eyal Cidon, Asaf Cidon, Junfeng Yang:
A Tale of Two Models: Constructing Evasive Attacks on Edge Models. CoRR abs/2204.10933 (2022) - [i17]Chengzhi Mao, Kevin Xia, James Wang, Hao Wang, Junfeng Yang, Elias Bareinboim, Carl Vondrick:
Causal Transportability for Visual Recognition. CoRR abs/2204.12363 (2022) - [i16]Ruoshi Liu, Sachit Menon, Chengzhi Mao, Dennis Park, Simon Stent, Carl Vondrick:
Shadows Shed Light on 3D Objects. CoRR abs/2206.08990 (2022) - [i15]Ruoshi Liu, Chengzhi Mao, Purva Tendulkar, Hao Wang, Carl Vondrick:
Landscape Learning for Neural Network Inversion. CoRR abs/2206.09027 (2022) - [i14]Hao Wang, Wanyu Lin, Hao He, Di Wang, Chengzhi Mao, Muhan Zhang:
1st ICLR International Workshop on Privacy, Accountability, Interpretability, Robustness, Reasoning on Structured Data (PAIR^2Struct). CoRR abs/2210.03612 (2022) - [i13]Chengzhi Mao, Lingyu Zhang, Abhishek Vaibhav Joshi, Junfeng Yang, Hao Wang, Carl Vondrick:
Robust Perception through Equivariance. CoRR abs/2212.06079 (2022) - [i12]Chengzhi Mao, Revant Teotia, Amrutha Sundar, Sachit Menon, Junfeng Yang, Xin Wang, Carl Vondrick:
Doubly Right Object Recognition: A Why Prompt for Visual Rationales. CoRR abs/2212.06202 (2022) - [i11]Chengzhi Mao, Scott Geng, Junfeng Yang, Xin Wang, Carl Vondrick:
Understanding Zero-Shot Adversarial Robustness for Large-Scale Models. CoRR abs/2212.07016 (2022) - [i10]Lingyu Zhang, Chengzhi Mao, Junfeng Yang, Carl Vondrick:
Adversarially Robust Video Perception by Seeing Motion. CoRR abs/2212.07815 (2022) - 2021
- [c8]Chengzhi Mao, Augustine Cha, Amogh Gupta, Hao Wang, Junfeng Yang, Carl Vondrick:
Generative Interventions for Causal Learning. CVPR 2021: 3947-3956 - [c7]Chengzhi Mao, Mia Chiquier, Hao Wang, Junfeng Yang, Carl Vondrick:
Adversarial Attacks are Reversible with Natural Supervision. ICCV 2021: 641-651 - [i9]Chengzhi Mao, Mia Chiquier, Hao Wang, Junfeng Yang, Carl Vondrick:
Adversarial Attacks are Reversible with Natural Supervision. CoRR abs/2103.14222 (2021) - [i8]Chengzhi Mao, Lu Jiang, Mostafa Dehghani, Carl Vondrick, Rahul Sukthankar, Irfan Essa:
Discrete Representations Strengthen Vision Transformer Robustness. CoRR abs/2111.10493 (2021) - [i7]Mia Chiquier, Chengzhi Mao, Carl Vondrick:
Real-Time Neural Voice Camouflage. CoRR abs/2112.07076 (2021) - 2020
- [c6]Robby Costales, Chengzhi Mao, Raphael Norwitz, Bryan Kim, Junfeng Yang:
Live Trojan Attacks on Deep Neural Networks. CVPR Workshops 2020: 3460-3469 - [c5]Chengzhi Mao, Amogh Gupta, Vikram Nitin, Baishakhi Ray, Shuran Song, Junfeng Yang, Carl Vondrick:
Multitask Learning Strengthens Adversarial Robustness. ECCV (2) 2020: 158-174 - [i6]Robby Costales, Chengzhi Mao, Raphael Norwitz, Bryan Kim, Junfeng Yang:
Live Trojan Attacks on Deep Neural Networks. CoRR abs/2004.11370 (2020) - [i5]Chengzhi Mao, Amogh Gupta, Vikram Nitin, Baishakhi Ray, Shuran Song, Junfeng Yang, Carl Vondrick:
Multitask Learning Strengthens Adversarial Robustness. CoRR abs/2007.07236 (2020) - [i4]Chengzhi Mao, Amogh Gupta, Augustine Cha, Hao Wang, Junfeng Yang, Carl Vondrick:
Generative Interventions for Causal Learning. CoRR abs/2012.12265 (2020)
2010 – 2019
- 2019
- [c4]Hao Wang, Chengzhi Mao, Hao He, Mingmin Zhao, Tommi S. Jaakkola, Dina Katabi:
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling. AAAI 2019: 766-773 - [c3]Chengzhi Mao, Ziyuan Zhong, Junfeng Yang, Carl Vondrick, Baishakhi Ray:
Metric Learning for Adversarial Robustness. NeurIPS 2019: 478-489 - [i3]Hao Wang, Chengzhi Mao, Hao He, Mingmin Zhao, Tommi S. Jaakkola, Dina Katabi:
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling. CoRR abs/1902.02037 (2019) - [i2]Chengzhi Mao, Ziyuan Zhong, Junfeng Yang, Carl Vondrick, Baishakhi Ray:
Metric Learning for Adversarial Robustness. CoRR abs/1909.00900 (2019) - [i1]Guangyu Shen, Chengzhi Mao, Junfeng Yang, Baishakhi Ray:
Unrestricted Adversarial Attacks for Semantic Segmentation. CoRR abs/1910.02354 (2019) - 2018
- [c2]Chengzhi Mao, Kangbo Lin, Tiancheng Yu, Yuan Shen:
A Probabilistic Learning Approach to UWB Ranging Error Mitigation. GLOBECOM 2018: 1-6 - 2016
- [c1]Zhidong Deng, Chengzhi Mao, Xiong Chen:
Deep self-organizing reservoir computing model for visual object recognition. IJCNN 2016: 1325-1332
Coauthor Index
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last updated on 2024-12-11 20:46 CET by the dblp team
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