Bibi, Adel

65 publications

ICLRW 2025 Attacking Multimodal OS Agents with Malicious Image Patches Lukas Aichberger, Alasdair Paren, Philip Torr, Yarin Gal, Adel Bibi

ICLR 2025 Bi-Factorial Preference Optimization: Balancing Safety-Helpfulness in Language Models Wenxuan Zhang, Philip Torr, Mohamed Elhoseiny, Adel Bibi

ICLR 2025 Do as I Do (Safely): Mitigating Task-Specific Fine-Tuning Risks in Large Language Models Francisco Eiras, Aleksandar Petrov, Philip Torr, M. Pawan Kumar, Adel Bibi

NeurIPS 2025 MIP Against Agent: Malicious Image Patches Hijacking Multimodal OS Agents Lukas Aichberger, Alasdair Paren, Guohao Li, Philip Torr, Yarin Gal, Adel Bibi

NeurIPS 2025 Measuring What Matters: Construct Validity in Large Language Model Benchmarks Andrew M. Bean, Ryan Othniel Kearns, Angelika Romanou, Franziska Sofia Hafner, Harry Mayne, Jan Batzner, Negar Foroutan, Chris Schmitz, Karolina Korgul, Hunar Batra, Oishi Deb, Emma Beharry, Cornelius Emde, Thomas Foster, Anna Gausen, María Grandury, Simeng Han, Valentin Hofmann, Lujain Ibrahim, Hazel Kim, Hannah Rose Kirk, Fangru Lin, Gabrielle Kaili-May Liu, Lennart Luettgau, Jabez Magomere, Jonathan Rystrøm, Anna Sotnikova, Yushi Yang, Yilun Zhao, Adel Bibi, Antoine Bosselut, Ronald Clark, Arman Cohan, Jakob Nicolaus Foerster, Yarin Gal, Scott A. Hale, Inioluwa Deborah Raji, Christopher Summerfield, Philip Torr, Cozmin Ududec, Luc Rocher, Adam Mahdi

ICML 2025 Mixture of Experts Made Intrinsically Interpretable Xingyi Yang, Constantin Venhoff, Ashkan Khakzar, Christian Schroeder De Witt, Puneet K. Dokania, Adel Bibi, Philip Torr

NeurIPS 2025 On the Coexistence and Ensembling of Watermarks Aleksandar Petrov, Shruti Agarwal, Philip Torr, Adel Bibi, John Collomosse

ICLRW 2025 On the Coexistence and Ensembling of Watermarks Aleksandar Petrov, Shruti Agarwal, Philip Torr, Adel Bibi, John Collomosse

TMLR 2025 Reliable and Responsible Foundation Models Xinyu Yang, Junlin Han, Rishi Bommasani, Jinqi Luo, Wenjie Qu, Wangchunshu Zhou, Adel Bibi, Xiyao Wang, Jaehong Yoon, Elias Stengel-Eskin, Shengbang Tong, Lingfeng Shen, Rafael Rafailov, Runjia Li, Zhaoyang Wang, Yiyang Zhou, Chenhang Cui, Yu Wang, Wenhao Zheng, Huichi Zhou, Jindong Gu, Zhaorun Chen, Peng Xia, Tony Lee, Thomas P Zollo, Vikash Sehwag, Jixuan Leng, Jiuhai Chen, Yuxin Wen, Huan Zhang, Zhun Deng, Linjun Zhang, Pavel Izmailov, Pang Wei Koh, Yulia Tsvetkov, Andrew Gordon Wilson, Jiaheng Zhang, James Zou, Cihang Xie, Hao Wang, Philip Torr, Julian McAuley, David Alvarez-Melis, Florian Tramèr, Kaidi Xu, Suman Jana, Chris Callison-Burch, Rene Vidal, Filippos Kokkinos, Mohit Bansal, Beidi Chen, Huaxiu Yao

ICLR 2025 Shh, Don't Say That! Domain Certification in LLMs Cornelius Emde, Alasdair Paren, Preetham Arvind, Maxime Guillaume Kayser, Tom Rainforth, Thomas Lukasiewicz, Philip Torr, Adel Bibi

ICLRW 2025 Shh, Don't Say That! Domain Certification in LLMs Cornelius Emde, Alasdair Paren, Preetham Arvind, Maxime Kayser, Tom Rainforth, Thomas Lukasiewicz, Bernard Ghanem, Philip Torr, Adel Bibi

ICLR 2025 Towards Certification of Uncertainty Calibration Under Adversarial Attacks Cornelius Emde, Francesco Pinto, Thomas Lukasiewicz, Philip Torr, Adel Bibi

NeurIPS 2024 Can Large Language Model Agents Simulate Human Trust Behavior? Feiran Jia, Ziyu Ye, Shiyang Lai, Kai Shu, Jindong Gu, Adel Bibi, Ziniu Hu, David Jurgens, James Evans, Philip H.S. Torr, Bernard Ghanem, Guohao Li, Chengxing Xie, Canyu Chen

ICLRW 2024 Can Large Language Model Agents Simulate Human Trust Behaviors? Chengxing Xie, Canyu Chen, Feiran Jia, Ziyu Ye, Kai Shu, Adel Bibi, Ziniu Hu, Philip Torr, Bernard Ghanem, Guohao Li

ICLR 2024 Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation Wenxuan Zhang, Youssef Mohamed, Bernard Ghanem, Philip Torr, Adel Bibi, Mohamed Elhoseiny

ICML 2024 Efficient Error Certification for Physics-Informed Neural Networks Francisco Eiras, Adel Bibi, Rudy R Bunel, Krishnamurthy Dj Dvijotham, Philip Torr, M. Pawan Kumar

NeurIPS 2024 Efficient Lifelong Model Evaluation in an Era of Rapid Progress Ameya Prabhu, Vishaal Udandarao, Philip H.S. Torr, Matthias Bethge, Adel Bibi, Samuel Albanie

CoLLAs 2024 From Categories to Classifiers: Name-Only Continual Learning by Exploring the Web Ameya Prabhu, Hasan Abed Al Kader Hammoud, Ser-Nam Lim, Bernard Ghanem, Philip Torr, Adel Bibi

ICLR 2024 Illusory Attacks: Information-Theoretic Detectability Matters in Adversarial Attacks Tim Franzmeyer, Stephen Marcus McAleer, Joao F. Henriques, Jakob Nicolaus Foerster, Philip Torr, Adel Bibi, Christian Schroeder de Witt

NeurIPS 2024 Label Delay in Online Continual Learning Botos Csaba, Wenxuan Zhang, Matthias Müller, Ser-Nam Lim, Mohamed Elhoseiny, Philip H.S. Torr, Adel Bibi

ICMLW 2024 Mimicking User Data: On Mitigating Fine-Tuning Risks in Closed Large Language Models Francisco Eiras, Aleksandar Petrov, Philip Torr, M. Pawan Kumar, Adel Bibi

NeurIPS 2024 No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance Vishaal Udandarao, Ameya Prabhu, Adhiraj Ghosh, Yash Sharma, Philip H.S. Torr, Adel Bibi, Samuel Albanie, Matthias Bethge

ECCV 2024 On Pretraining Data Diversity for Self-Supervised Learning Hasan Abed Al Kader Hammoud, Tuhin Das, Fabio Pizzati, Philip Torr, Adel Bibi, Bernard Ghanem

ICML 2024 Position: Near to Mid-Term Risks and Opportunities of Open-Source Generative AI Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schroeder 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 Rottger, Philip Torr, Trevor Darrell, Yong Suk Lee, Jakob Nicolaus Foerster

ICLRW 2024 Pre-Training Concept Frequency Is Predictive of CLIP Zero-Shot Performance Vishaal Udandarao, Ameya Prabhu, Philip Torr, Adel Bibi, Samuel Albanie, Matthias Bethge

ICML 2024 Prompting a Pretrained Transformer Can Be a Universal Approximator Aleksandar Petrov, Philip Torr, Adel Bibi

ECCVW 2024 Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation Francisco Eiras, Kemal Oksuz, Adel Bibi, Philip H. S. Torr, Puneet K. Dokania

NeurIPSW 2024 Shh, Don't Say That! Domain Certification in LLMs Cornelius Emde, Preetham Arvind, Alasdair Paren, Maxime Kayser, Tom Rainforth, Thomas Lukasiewicz, Philip Torr, Adel Bibi

AAAI 2024 SimCS: Simulation for Domain Incremental Online Continual Segmentation Motasem Alfarra, Zhipeng Cai, Adel Bibi, Bernard Ghanem, Matthias Müller

ICML 2024 Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation Yibo Yang, Xiaojie Li, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Adel Bibi, Philip Torr, Bernard Ghanem

NeurIPS 2024 Universal In-Context Approximation by Prompting Fully Recurrent Models Aleksandar Petrov, Tom A. Lamb, Alasdair Paren, Philip H.S. Torr, Adel Bibi

ICLR 2024 When Do Prompting and Prefix-Tuning Work? a Theory of Capabilities and Limitations Aleksandar Petrov, Philip Torr, Adel Bibi

TMLR 2023 Catastrophic Overfitting Can Be Induced with Discriminative Non-Robust Features Guillermo Ortiz-Jimenez, Pau de Jorge, Amartya Sanyal, Adel Bibi, Puneet K. Dokania, Pascal Frossard, Grégory Rogez, Philip Torr

ICMLW 2023 Certified Calibration: Bounding Worst-Case Calibration Under Adversarial Attacks Cornelius Emde, Francesco Pinto, Thomas Lukasiewicz, Philip Torr, Adel Bibi

ICML 2023 Certifying Ensembles: A General Certification Theory with S-Lipschitzness Aleksandar Petrov, Francisco Eiras, Amartya Sanyal, Philip Torr, Adel Bibi

ICMLW 2023 Certifying Ensembles: A General Certification Theory with S-Lipschitzness Aleksandar Petrov, Francisco Eiras, Amartya Sanyal, Philip Torr, Adel Bibi

CVPR 2023 Computationally Budgeted Continual Learning: What Does Matter? Ameya Prabhu, Hasan Abed Al Kader Hammoud, Puneet K. Dokania, Philip H.S. Torr, Ser-Nam Lim, Bernard Ghanem, Adel Bibi

CVPRW 2023 Don't FREAK Out: A Frequency-Inspired Approach to Detecting Backdoor Poisoned Samples in DNNs Hasan Abed Al Kader Hammoud, Adel Bibi, Philip H. S. Torr, Bernard Ghanem

ICMLW 2023 Illusory Attacks: Detectability Matters in Adversarial Attacks on Sequential Decision-Makers Tim Franzmeyer, Stephen Marcus McAleer, Joao F. Henriques, Jakob Nicolaus Foerster, Philip Torr, Adel Bibi, Christian Schroeder de Witt

NeurIPS 2023 Language Model Tokenizers Introduce Unfairness Between Languages Aleksandar Petrov, Emanuele La Malfa, Philip Torr, Adel Bibi

ICMLW 2023 Language Model Tokenizers Introduce Unfairness Between Languages Aleksandar Petrov, Emanuele La Malfa, Philip Torr, Adel Bibi

WACV 2023 RANCER: Non-Axis Aligned Anisotropic Certification with Randomized Smoothing Taras Rumezhak, Francisco Girbal Eiras, Philip H.S. Torr, Adel Bibi

ICCV 2023 Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right? Hasan Abed Al Kader Hammoud, Ameya Prabhu, Ser-Nam Lim, Philip H.S. Torr, Adel Bibi, Bernard Ghanem

CVPR 2023 Real-Time Evaluation in Online Continual Learning: A New Hope Yasir Ghunaim, Adel Bibi, Kumail Alhamoud, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Ameya Prabhu, Philip H.S. Torr, Bernard Ghanem

NeurIPSW 2023 When Do Prompting and Prefix-Tuning Work? a Theory of Capabilities and Limitations Aleksandar Petrov, Philip Torr, Adel Bibi

TMLR 2022 ANCER: Anisotropic Certification via Sample-Wise Volume Maximization Francisco Eiras, Motasem Alfarra, Philip Torr, M. Pawan Kumar, Puneet K. Dokania, Bernard Ghanem, Adel Bibi

AAAI 2022 Combating Adversaries with Anti-Adversaries Motasem Alfarra, Juan C. Pérez, Ali K. Thabet, Adel Bibi, Philip H. S. Torr, Bernard Ghanem

UAI 2022 Data Dependent Randomized Smoothing Motasem Alfarra, Adel Bibi, Philip H. S. Torr, Bernard Ghanem

AAAI 2022 DeformRS: Certifying Input Deformations with Randomized Smoothing Motasem Alfarra, Adel Bibi, Naeemullah Khan, Philip H. S. Torr, Bernard Ghanem

ECCVW 2022 Diversified Dynamic Routing for Vision Tasks Botos Csaba, Adel Bibi, Yanwei Li, Philip H. S. Torr, Ser-Nam Lim

NeurIPS 2022 Make Some Noise: Reliable and Efficient Single-Step Adversarial Training Pau de Jorge Aranda, Adel Bibi, Riccardo Volpi, Amartya Sanyal, Philip Torr, Gregory Rogez, Puneet Dokania

ICMLW 2021 Combating Adversaries with Anti-Adversaries Motasem Alfarra, Juan Camilo Perez, Ali Thabet, Adel Bibi, Philip Torr, Bernard Ghanem

ICLR 2020 A Stochastic Derivative Free Optimization Method with Momentum Eduard Gorbunov, Adel Bibi, Ozan Sener, El Houcine Bergou, Peter Richtarik

AAAI 2020 A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control Adel Bibi, El Houcine Bergou, Ozan Sener, Bernard Ghanem, Peter Richtárik

ICLR 2020 Analytical Moment Regularizer for Training Robust Networks Modar Alfadly, Adel Bibi, Muhammed Kocabas, Bernard Ghanem

ECCV 2020 Gabor Layers Enhance Network Robustness Juan C. Pérez, Motasem Alfarra, Guillaume Jeanneret, Adel Bibi, Ali Thabet, Bernard Ghanem, Pablo Arbeláez

ICLR 2019 Deep Layers as Stochastic Solvers Adel Bibi, Bernard Ghanem, Vladlen Koltun, Rene Ranftl

WACV 2019 Local Color Mapping Combined with Color Transfer for Underwater Image Enhancement Rafal Protasiuk, Adel Bibi, Bernard Ghanem

ECCV 2018 TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild Matthias Muller, Adel Bibi, Silvio Giancola, Salman Alsubaihi, Bernard Ghanem

CVPR 2017 FFTLasso: Large-Scale LASSO in the Fourier Domain Adel Bibi, Hani Itani, Bernard Ghanem

ICCV 2017 High Order Tensor Formulation for Convolutional Sparse Coding Adel Bibi, Bernard Ghanem

CVPR 2016 3D Part-Based Sparse Tracker with Automatic Synchronization and Registration Adel Bibi, Tianzhu Zhang, Bernard Ghanem

CVPR 2016 In Defense of Sparse Tracking: Circulant Sparse Tracker Tianzhu Zhang, Adel Bibi, Bernard Ghanem

ECCV 2016 Target Response Adaptation for Correlation Filter Tracking Adel Bibi, Matthias Mueller, Bernard Ghanem

ICCVW 2015 Multi-Template Scale-Adaptive Kernelized Correlation Filters Adel Bibi, Bernard Ghanem