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ORCIDAdel Bibi
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- affiliation: University of Oxford, UK
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2020 – today
- 2024
[c35]Motasem Alfarra, Zhipeng Cai, Adel Bibi
, Bernard Ghanem, Matthias Müller:
SimCS: Simulation for Domain Incremental Online Continual Segmentation. AAAI 2024: 10795-10803- [c34]Tim Franzmeyer, Stephen Marcus McAleer, João F. Henriques, Jakob Nicolaus Foerster, Philip Torr, Adel Bibi, Christian Schröder de Witt:
Illusory Attacks: Information-theoretic detectability matters in adversarial attacks. ICLR 2024 - [c33]Aleksandar Petrov, Philip Torr, Adel Bibi:
When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations. ICLR 2024 - [c32]Wenxuan Zhang, Youssef Mohamed, Bernard Ghanem, Philip Torr, Adel Bibi, Mohamed Elhoseiny:
Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation. ICLR 2024 - [c31]Francisco Eiras, Adel Bibi, Rudy Bunel, Krishnamurthy Dj Dvijotham, Philip Torr, M. Pawan Kumar:
Efficient Error Certification for Physics-Informed Neural Networks. ICML 2024 - [c30]Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schröder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Botos Csaba, Fabro Steibel, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan A. Nolazco-Flores, Lori Landay, Matthew Thomas Jackson, Paul Röttger, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster:
Position: Near to Mid-term Risks and Opportunities of Open-Source Generative AI. ICML 2024 - [c29]Aleksandar Petrov, Philip Torr, Adel Bibi:
Prompting a Pretrained Transformer Can Be a Universal Approximator. ICML 2024 - [c28]Yibo Yang, Xiaojie Li, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Adel Bibi, Philip Torr, Bernard Ghanem:
Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation. ICML 2024 - [c27]Kumail Alhamoud, Yasir Ghunaim, Motasem Alfarra, Thomas Hartvigsen, Philip Torr, Bernard Ghanem, Adel Bibi, Marzyeh Ghassemi:
FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging. MICCAI (10) 2024: 383-393 - [i44]Hasan Abed Al Kader Hammoud, Hani Itani, Fabio Pizzati, Philip Torr, Adel Bibi, Bernard Ghanem:
SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training? CoRR abs/2402.01832 (2024) - [i43]Chengxing Xie, Canyu Chen, Feiran Jia, Ziyu Ye, Kai Shu, Adel Bibi, Ziniu Hu, Philip Torr, Bernard Ghanem, Guohao Li:
Can Large Language Model Agents Simulate Human Trust Behaviors? CoRR abs/2402.04559 (2024) - [i42]Aleksandar Petrov, Philip H. S. Torr, Adel Bibi:
Prompting a Pretrained Transformer Can Be a Universal Approximator. CoRR abs/2402.14753 (2024) - [i41]Ameya Prabhu, Vishaal Udandarao, Philip Torr, Matthias Bethge, Adel Bibi, Samuel Albanie:
Lifelong Benchmarks: Efficient Model Evaluation in an Era of Rapid Progress. CoRR abs/2402.19472 (2024) - [i40]Hasan Abed Al Kader Hammoud, Tuhin Das, Fabio Pizzati, Philip Torr, Adel Bibi, Bernard Ghanem:
On Pretraining Data Diversity for Self-Supervised Learning. CoRR abs/2403.13808 (2024) - [i39]Vishaal Udandarao, Ameya Prabhu, Adhiraj Ghosh, Yash Sharma, Philip H. S. Torr, Adel Bibi, Samuel Albanie, Matthias Bethge:
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance. CoRR abs/2404.04125 (2024) - [i38]Wenxuan Zhang, Youssef Mohamed, Bernard Ghanem, Philip H. S. Torr, Adel Bibi, Mohamed Elhoseiny:
Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation. CoRR abs/2404.12766 (2024) - [i37]Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schröder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Botos Csaba, Fabro Steibel, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan A. Nolazco-Flores, Lori Landay, Matthew Thomas Jackson, Paul Röttger, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster:
Near to Mid-term Risks and Opportunities of Open Source Generative AI. CoRR abs/2404.17047 (2024) - [i36]Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schröder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Aaron Purewal, Botos Csaba, Fabro Steibel, Fazel Keshtkar, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan Arturo Nolazco, Lori Landay, Matthew Thomas Jackson, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster:
Risks and Opportunities of Open-Source Generative AI. CoRR abs/2405.08597 (2024) - [i35]Cornelius Emde, Francesco Pinto, Thomas Lukasiewicz, Philip H. S. Torr, Adel Bibi:
Towards Certification of Uncertainty Calibration under Adversarial Attacks. CoRR abs/2405.13922 (2024) - [i34]Aleksandar Petrov, Tom A. Lamb, Alasdair Paren, Philip Torr, Adel Bibi:
Universal In-Context Approximation By Prompting Fully Recurrent Models. CoRR abs/2406.01424 (2024) - [i33]Yibo Yang, Xiaojie Li, Motasem Alfarra, Hasan Hammoud, Adel Bibi, Philip Torr, Bernard Ghanem:
Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation. CoRR abs/2406.05222 (2024) - [i32]Francisco Eiras, Aleksandar Petrov, Philip H. S. Torr, M. Pawan Kumar, Adel Bibi:
Mimicking User Data: On Mitigating Fine-Tuning Risks in Closed Large Language Models. CoRR abs/2406.10288 (2024) - [i31]Hasan Abed Al Kader Hammoud, Umberto Michieli, Fabio Pizzati, Philip Torr, Adel Bibi, Bernard Ghanem, Mete Ozay:
Model Merging and Safety Alignment: One Bad Model Spoils the Bunch. CoRR abs/2406.14563 (2024) - [i30]Kumail Alhamoud, Yasir Ghunaim, Motasem Alfarra, Thomas Hartvigsen, Philip Torr, Bernard Ghanem, Adel Bibi, Marzyeh Ghassemi:
FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging. CoRR abs/2407.08822 (2024) - [i29]Wenxuan Zhang, Philip H. S. Torr, Mohamed Elhoseiny, Adel Bibi:
Bi-Factorial Preference Optimization: Balancing Safety-Helpfulness in Language Models. CoRR abs/2408.15313 (2024) - 2023
- [j4]Adel Bibi, Ali Alqahtani, Bernard Ghanem:
Constrained Clustering: General Pairwise and Cardinality Constraints. IEEE Access 11: 5824-5836 (2023) - [j3]Motasem Alfarra, Adel Bibi, Hasan Hammoud, Mohamed Gaafar, Bernard Ghanem:
On the Decision Boundaries of Neural Networks: A Tropical Geometry Perspective. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5027-5037 (2023) - [j2]Guillermo Ortiz-Jiménez, Pau de Jorge, Amartya Sanyal, Adel Bibi, Puneet K. Dokania, Pascal Frossard, Grégory Rogez, Philip Torr:
Catastrophic overfitting can be induced with discriminative non-robust features. Trans. Mach. Learn. Res. 2023 (2023) - [c26]Hasan Abed Al Kader Hammoud, Adel Bibi, Philip H. S. Torr, Bernard Ghanem:
Don't FREAK Out: A Frequency-Inspired Approach to Detecting Backdoor Poisoned Samples in DNNs. CVPR Workshops 2023: 2338-2345 - [c25]Ameya Prabhu, Hasan Abed Al Kader Hammoud, Puneet K. Dokania, Philip H. S. Torr, Ser-Nam Lim, Bernard Ghanem, Adel Bibi:
Computationally Budgeted Continual Learning: What Does Matter? CVPR 2023: 3698-3707 - [c24]Yasir Ghunaim, Adel Bibi, Kumail Alhamoud, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Ameya Prabhu, Philip H. S. Torr, Bernard Ghanem:
Real-Time Evaluation in Online Continual Learning: A New Hope. CVPR 2023: 11888-11897 - [c23]Hasan Abed Al Kader Hammoud, Ameya Prabhu, Ser-Nam Lim, Philip H. S. Torr, Adel Bibi, Bernard Ghanem:
Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right? ICCV 2023: 18806-18815 - [c22]Aleksandar Petrov, Francisco Eiras, Amartya Sanyal, Philip H. S. Torr, Adel Bibi:
Certifying Ensembles: A General Certification Theory with S-Lipschitzness. ICML 2023: 27709-27736 - [c21]Aleksandar Petrov, Emanuele La Malfa, Philip H. S. Torr, Adel Bibi:
Language Model Tokenizers Introduce Unfairness Between Languages. NeurIPS 2023 - [c20]Taras Rumezhak, Francisco Girbal Eiras, Philip H. S. Torr, Adel Bibi:
RANCER: Non-Axis Aligned Anisotropic Certification with Randomized Smoothing. WACV 2023: 4661-4669 - [i28]Yasir Ghunaim, Adel Bibi, Kumail Alhamoud, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Ameya Prabhu, Philip H. S. Torr, Bernard Ghanem:
Real-Time Evaluation in Online Continual Learning: A New Paradigm. CoRR abs/2302.01047 (2023) - [i27]Ameya Prabhu, Hasan Abed Al Kader Hammoud, Puneet K. Dokania, Philip H. S. Torr, Ser-Nam Lim, Bernard Ghanem, Adel Bibi:
Computationally Budgeted Continual Learning: What Does Matter? CoRR abs/2303.11165 (2023) - [i26]Hasan Abed Al Kader Hammoud, Adel Bibi, Philip H. S. Torr, Bernard Ghanem:
Don't FREAK Out: A Frequency-Inspired Approach to Detecting Backdoor Poisoned Samples in DNNs. CoRR abs/2303.13211 (2023) - [i25]Aleksandar Petrov, Francisco Eiras, Amartya Sanyal, Philip H. S. Torr, Adel Bibi:
Certifying Ensembles: A General Certification Theory with S-Lipschitzness. CoRR abs/2304.13019 (2023) - [i24]Hasan Abed Al Kader Hammoud, Ameya Prabhu, Ser-Nam Lim, Philip H. S. Torr, Adel Bibi, Bernard Ghanem:
Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right? CoRR abs/2305.09275 (2023) - [i23]Francisco Eiras, Adel Bibi, Rudy Bunel, Krishnamurthy (Dj) Dvijotham, Philip H. S. Torr, M. Pawan Kumar:
Provably Correct Physics-Informed Neural Networks. CoRR abs/2305.10157 (2023) - [i22]Aleksandar Petrov, Emanuele La Malfa, Philip H. S. Torr, Adel Bibi:
Language Model Tokenizers Introduce Unfairness Between Languages. CoRR abs/2305.15425 (2023) - [i21]Francisco Eiras, Kemal Oksuz, Adel Bibi, Philip H. S. Torr, Puneet K. Dokania:
Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation. CoRR abs/2310.13479 (2023) - [i20]Aleksandar Petrov, Philip H. S. Torr, Adel Bibi:
When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations. CoRR abs/2310.19698 (2023) - [i19]Ameya Prabhu, Hasan Abed Al Kader Hammoud, Ser-Nam Lim, Bernard Ghanem, Philip H. S. Torr, Adel Bibi:
From Categories to Classifier: Name-Only Continual Learning by Exploring the Web. CoRR abs/2311.11293 (2023) - [i18]Botos Csaba, Wenxuan Zhang, Matthias Müller, Ser-Nam Lim, Mohamed Elhoseiny, Philip H. S. Torr, Adel Bibi:
Label Delay in Continual Learning. CoRR abs/2312.00923 (2023) - 2022
- [j1]Francisco Eiras, Motasem Alfarra, Philip H. S. Torr, M. Pawan Kumar, Puneet K. Dokania, Bernard Ghanem, Adel Bibi:
ANCER: Anisotropic Certification via Sample-wise Volume Maximization. Trans. Mach. Learn. Res. 2022 (2022) - [c19]Motasem Alfarra, Juan C. Pérez, Ali K. Thabet, Adel Bibi, Philip H. S. Torr, Bernard Ghanem:
Combating Adversaries with Anti-adversaries. AAAI 2022: 5992-6000 - [c18]Motasem Alfarra, Adel Bibi, Naeemullah Khan, Philip H. S. Torr, Bernard Ghanem:
DeformRS: Certifying Input Deformations with Randomized Smoothing. AAAI 2022: 6001-6009 - [c17]Botos Csaba, Adel Bibi, Yanwei Li, Philip H. S. Torr, Ser-Nam Lim:
Diversified Dynamic Routing for Vision Tasks. ECCV Workshops (4) 2022: 756-772 - [c16]Pau de Jorge Aranda, Adel Bibi, Riccardo Volpi, Amartya Sanyal, Philip H. S. Torr, Grégory Rogez, Puneet K. Dokania:
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training. NeurIPS 2022 - [c15]Motasem Alfarra, Adel Bibi, Philip H. S. Torr, Bernard Ghanem:
Data dependent randomized smoothing. UAI 2022: 64-74 - [i17]Pau de Jorge, Adel Bibi, Riccardo Volpi, Amartya Sanyal, Philip H. S. Torr, Grégory Rogez, Puneet K. Dokania:
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training. CoRR abs/2202.01181 (2022) - [i16]Guillermo Ortiz-Jiménez, Pau de Jorge, Amartya Sanyal, Adel Bibi, Puneet K. Dokania, Pascal Frossard, Grégory Rogez, Philip H. S. Torr:
Catastrophic overfitting is a bug but also a feature. CoRR abs/2206.08242 (2022) - [i15]Tim Franzmeyer, João F. Henriques, Jakob N. Foerster, Philip H. S. Torr, Adel Bibi, Christian Schröder de Witt:
Illusionary Attacks on Sequential Decision Makers and Countermeasures. CoRR abs/2207.10170 (2022) - [i14]Botos Csaba, Adel Bibi, Yanwei Li, Philip H. S. Torr, Ser-Nam Lim:
Diversified Dynamic Routing for Vision Tasks. CoRR abs/2209.13071 (2022) - [i13]Motasem Alfarra, Zhipeng Cai, Adel Bibi, Bernard Ghanem, Matthias Müller:
SimCS: Simulation for Online Domain-Incremental Continual Segmentation. CoRR abs/2211.16234 (2022) - 2021
- [c14]Motasem Alfarra, Juan C. Pérez, Adel Bibi, Ali K. Thabet, Pablo Arbeláez, Bernard Ghanem:
Rethinking Clustering for Robustness. BMVC 2021: 38 - [i12]Motasem Alfarra, Juan C. Pérez, Ali K. Thabet, Adel Bibi, Philip H. S. Torr, Bernard Ghanem:
Combating Adversaries with Anti-Adversaries. CoRR abs/2103.14347 (2021) - [i11]Motasem Alfarra, Adel Bibi, Naeemullah Khan, Philip H. S. Torr, Bernard Ghanem:
DeformRS: Certifying Input Deformations with Randomized Smoothing. CoRR abs/2107.00996 (2021) - [i10]Francisco Eiras, Motasem Alfarra, M. Pawan Kumar, Philip H. S. Torr, Puneet K. Dokania, Bernard Ghanem, Adel Bibi:
ANCER: Anisotropic Certification via Sample-wise Volume Maximization. CoRR abs/2107.04570 (2021) - 2020
- [b1]Adel Bibi:
Understanding a Block of Layers in Deep Neural Networks: Optimization, Probabilistic and Tropical Geometric Perspectives. King Abdullah University of Science and Technology, Thuwal, Saudi Arabia, 2020 - [c13]Adel Bibi, El Houcine Bergou, Ozan Sener, Bernard Ghanem, Peter Richtárik:
A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control. AAAI 2020: 3275-3282 - [c12]Juan C. Pérez, Motasem Alfarra, Guillaume Jeanneret, Adel Bibi, Ali K. Thabet, Bernard Ghanem, Pablo Arbeláez:
Gabor Layers Enhance Network Robustness. ECCV (9) 2020: 450-466 - [c11]Eduard Gorbunov, Adel Bibi, Ozan Sener, El Houcine Bergou, Peter Richtárik:
A Stochastic Derivative Free Optimization Method with Momentum. ICLR 2020 - [i9]Motasem Alfarra, Adel Bibi, Hasan Hammoud, Mohamed Gaafar, Bernard Ghanem:
On the Decision Boundaries of Deep Neural Networks: A Tropical Geometry Perspective. CoRR abs/2002.08838 (2020) - [i8]Motasem Alfarra, Juan C. Pérez, Adel Bibi, Ali K. Thabet, Pablo Arbeláez, Bernard Ghanem:
ClusTR: Clustering Training for Robustness. CoRR abs/2006.07682 (2020) - [i7]Modar Alfadly, Adel Bibi, Emilio Botero, Salman Al-Subaihi, Bernard Ghanem:
Network Moments: Extensions and Sparse-Smooth Attacks. CoRR abs/2006.11776 (2020) - [i6]Motasem Alfarra, Adel Bibi, Philip H. S. Torr, Bernard Ghanem:
Data Dependent Randomized Smoothing. CoRR abs/2012.04351 (2020)
2010 – 2019
- 2019
- [c10]Adel Bibi, Bernard Ghanem, Vladlen Koltun, René Ranftl:
Deep Layers as Stochastic Solvers. ICLR (Poster) 2019 - [c9]Rafal Protasiuk, Adel Bibi, Bernard Ghanem:
Local Color Mapping Combined with Color Transfer for Underwater Image Enhancement. WACV 2019: 1433-1439 - [i5]Modar Alfadly, Adel Bibi, Bernard Ghanem:
Analytical Moment Regularizer for Gaussian Robust Networks. CoRR abs/1904.11005 (2019) - [i4]Salman Al-Subaihi, Adel Bibi, Modar Alfadly, Bernard Ghanem:
Probabilistically True and Tight Bounds for Robust Deep Neural Network Training. CoRR abs/1905.12418 (2019) - [i3]Adel Bibi, Baoyuan Wu, Bernard Ghanem:
Constrained K-means with General Pairwise and Cardinality Constraints. CoRR abs/1907.10410 (2019) - [i2]Juan C. Pérez, Motasem Alfarra, Guillaume Jeanneret, Adel Bibi, Ali K. Thabet, Bernard Ghanem, Pablo Arbeláez:
Robust Gabor Networks. CoRR abs/1912.05661 (2019) - 2018
- [c8]Adel Bibi, Modar Alfadly, Bernard Ghanem:
Analytic Expressions for Probabilistic Moments of PL-DNN With Gaussian Input. CVPR 2018: 9099-9107 - [c7]Matthias Müller, Adel Bibi, Silvio Giancola, Salman Al-Subaihi, Bernard Ghanem:
TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild. ECCV (1) 2018: 310-327 - [i1]Matthias Müller, Adel Bibi, Silvio Giancola, Salman Al-Subaihi, Bernard Ghanem:
TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild. CoRR abs/1803.10794 (2018) - 2017
- [c6]Adel Bibi, Hani Itani, Bernard Ghanem:
FFTLasso: Large-Scale LASSO in the Fourier Domain. CVPR 2017: 4371-4380 - [c5]Adel Bibi, Bernard Ghanem:
High Order Tensor Formulation for Convolutional Sparse Coding. ICCV 2017: 1790-1798 - 2016
- [c4]Adel Bibi, Tianzhu Zhang, Bernard Ghanem:
3D Part-Based Sparse Tracker with Automatic Synchronization and Registration. CVPR 2016: 1439-1448 - [c3]Tianzhu Zhang, Adel Bibi, Bernard Ghanem:
In Defense of Sparse Tracking: Circulant Sparse Tracker. CVPR 2016: 3880-3888 - [c2]Adel Bibi, Matthias Mueller, Bernard Ghanem:
Target Response Adaptation for Correlation Filter Tracking. ECCV (6) 2016: 419-433 - 2015
- [c1]Adel Bibi, Bernard Ghanem:
Multi-template Scale-Adaptive Kernelized Correlation Filters. ICCV Workshops 2015: 613-620
Coauthor Index
Francisco Girbal Eiras
aka: Francisco Eiras
aka: Francisco Eiras
Hasan Hammoud
aka: Hasan Abed Al Kader Hammoud
aka: Hasan Abed Al Kader Hammoud
Philip Torr 0001
aka: Philip H. S. Torr
aka: Philip H. S. Torr
[c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [i44] [i43] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [j2] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [j1] [c19] [c18] [c17] [c16] [c15] [i17] [i16] [i15] [i14] [i12] [i11] [i10] [i6]
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