Adel Bibi

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 76

Top Topics

Countermeasures

Correlation Filters

Top Venues

Publications

Aleksandar Petrov, Philip Torr, Adel Bibi
When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations. ICLR (2024)
Cornelius Emde, Francesco Pinto, Thomas Lukasiewicz, Philip H. S. Torr, Adel Bibi
Towards Certification of Uncertainty Calibration under Adversarial Attacks. CoRR (2024)
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 (2024)
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 Jackson, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster
Risks and Opportunities of Open-Source Generative AI. CoRR (2024)
Chengxing Xie, Canyu Chen, Feiran Jia, Ziyu Ye, Kai Shu, Adel Bibi, Ziniu Hu, Philip H. S. Torr, Bernard Ghanem, Guohao Li
Can Large Language Model Agents Simulate Human Trust Behaviors? CoRR (2024)
Motasem Alfarra, Zhipeng Cai, Adel Bibi, Bernard Ghanem, Matthias Müller
SimCS: Simulation for Domain Incremental Online Continual Segmentation. AAAI (2024)
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 (2024)
Ameya Prabhu, Vishaal Udandarao, Philip H. S. Torr, Matthias Bethge, Adel Bibi, Samuel Albanie
Lifelong Benchmarks: Efficient Model Evaluation in an Era of Rapid Progress. CoRR (2024)
Yibo Yang, Xiaojie Li, Motasem Alfarra, Hasan Hammoud, Adel Bibi, Philip H. S. Torr, Bernard Ghanem
Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation. CoRR (2024)
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 (2024)
Aleksandar Petrov, Tom A. Lamb, Alasdair Paren, Philip H. S. Torr, Adel Bibi
Universal In-Context Approximation By Prompting Fully Recurrent Models. CoRR (2024)
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 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 (2024)
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 (2024)
Hasan Abed Al Kader Hammoud, Hani Itani, Fabio Pizzati, Philip H. S. Torr, Adel Bibi, Bernard Ghanem
SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training? CoRR (2024)
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 (2024)
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)
Aleksandar Petrov, Philip H. S. Torr, Adel Bibi
Prompting a Pretrained Transformer Can Be a Universal Approximator. CoRR (2024)
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)
Hasan Abed Al Kader Hammoud, Tuhin Das, Fabio Pizzati, Philip H. S. Torr, Adel Bibi, Bernard Ghanem
On Pretraining Data Diversity for Self-Supervised Learning. CoRR (2024)
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 (2023)
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 (2023)
Francisco Eiras, Adel Bibi, Rudy Bunel, Krishnamurthy (Dj) Dvijotham, Philip H. S. Torr, M. Pawan Kumar
Provably Correct Physics-Informed Neural Networks. CoRR (2023)
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)
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)
Aleksandar Petrov, Philip H. S. Torr, Adel Bibi
When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations. CoRR (2023)
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)
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)
Adel Bibi, Ali Alqahtani, Bernard Ghanem
Constrained Clustering: General Pairwise and Cardinality Constraints. IEEE Access 11 (2023)
Botos Csaba, Wenxuan Zhang, Matthias Müller, Ser-Nam Lim, Mohamed Elhoseiny, Philip H. S. Torr, Adel Bibi
Label Delay in Continual Learning. CoRR (2023)
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 (2023)
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)
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) (2023)
Aleksandar Petrov, Emanuele La Malfa, Philip H. S. Torr, Adel Bibi
Language Model Tokenizers Introduce Unfairness Between Languages. CoRR (2023)
Francisco Eiras, Kemal Oksuz, Adel Bibi, Philip H. S. Torr, Puneet K. Dokania
Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation. CoRR (2023)
Aleksandar Petrov, Francisco Eiras, Amartya Sanyal, Philip H. S. Torr, Adel Bibi
Certifying Ensembles: A General Certification Theory with S-Lipschitzness. CoRR (2023)
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 (2023)
Taras Rumezhak, Francisco Girbal Eiras, Philip H. S. Torr, Adel Bibi
RANCER: Non-Axis Aligned Anisotropic Certification with Randomized Smoothing. WACV (2023)
Aleksandar Petrov, Emanuele La Malfa, Philip H. S. Torr, Adel Bibi
Language Model Tokenizers Introduce Unfairness Between Languages. NeurIPS (2023)
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 (2023)
Aleksandar Petrov, Francisco Eiras, Amartya Sanyal, Philip H. S. Torr, Adel Bibi
Certifying Ensembles: A General Certification Theory with S-Lipschitzness. ICML (2023)
Motasem Alfarra, Juan C. Pérez, Ali K. Thabet, Adel Bibi, Philip H. S. Torr, Bernard Ghanem
Combating Adversaries with Anti-adversaries. AAAI (2022)
Motasem Alfarra, Adel Bibi, Philip H. S. Torr, Bernard Ghanem
Data dependent randomized smoothing. UAI (2022)
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 (2022)
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 (2022)
Motasem Alfarra, Zhipeng Cai, Adel Bibi, Bernard Ghanem, Matthias Müller
SimCS: Simulation for Online Domain-Incremental Continual Segmentation. CoRR (2022)
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 (2022)
Botos Csaba, Adel Bibi, Yanwei Li, Philip H. S. Torr, Ser-Nam Lim
Diversified Dynamic Routing for Vision Tasks. ECCV Workshops (4) (2022)
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)
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)
Botos Csaba, Adel Bibi, Yanwei Li, Philip Torr, Ser-Nam Lim
Diversified Dynamic Routing for Vision Tasks. CoRR (2022)
Motasem Alfarra, Adel Bibi, Naeemullah Khan, Philip H. S. Torr, Bernard Ghanem
DeformRS: Certifying Input Deformations with Randomized Smoothing. AAAI (2022)
Motasem Alfarra, Juan C. Pérez, Adel Bibi, Ali K. Thabet, Pablo Arbelaez, Bernard Ghanem
Rethinking Clustering for Robustness. BMVC (2021)
Motasem Alfarra, Juan C. Pérez, Ali K. Thabet, Adel Bibi, Philip H. S. Torr, Bernard Ghanem
Combating Adversaries with Anti-Adversaries. CoRR (2021)
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 (2021)
Motasem Alfarra, Adel Bibi, Naeemullah Khan, Philip H. S. Torr, Bernard Ghanem
DeformRS: Certifying Input Deformations with Randomized Smoothing. CoRR (2021)
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)
Motasem Alfarra, Juan C. Pérez, Adel Bibi, Ali K. Thabet, Pablo Arbeláez, Bernard Ghanem
ClusTR: Clustering Training for Robustness. CoRR (2020)
Motasem Alfarra, Adel Bibi, Hasan Hammoud, Mohamed Gaafar, Bernard Ghanem
On the Decision Boundaries of Deep Neural Networks: A Tropical Geometry Perspective. CoRR (2020)
Motasem Alfarra, Adel Bibi, Philip H. S. Torr, Bernard Ghanem
Data Dependent Randomized Smoothing. CoRR (2020)
Eduard A. Gorbunov, Adel Bibi, Ozan Sener, El Houcine Bergou, Peter Richtárik
A Stochastic Derivative Free Optimization Method with Momentum. ICLR (2020)
Juan C. Pérez, Motasem Alfarra, Guillaume Jeanneret, Adel Bibi, Ali K. Thabet, Bernard Ghanem, Pablo Arbeláez
Gabor Layers Enhance Network Robustness. ECCV (9) (2020)
Modar Alfadly, Adel Bibi, Emilio Botero, Salman Al-Subaihi, Bernard Ghanem
Network Moments: Extensions and Sparse-Smooth Attacks. CoRR (2020)
Adel Bibi, Bernard Ghanem, Vladlen Koltun, René Ranftl
Deep Layers as Stochastic Solvers. ICLR (Poster) (2019)
Rafal Protasiuk, Adel Bibi, Bernard Ghanem
Local Color Mapping Combined with Color Transfer for Underwater Image Enhancement. WACV (2019)
Adel Bibi, Baoyuan Wu, Bernard Ghanem
Constrained K-means with General Pairwise and Cardinality Constraints. CoRR (2019)
Salman Al-Subaihi, Adel Bibi, Modar Alfadly, Bernard Ghanem
Probabilistically True and Tight Bounds for Robust Deep Neural Network Training. CoRR (2019)
Modar Alfadly, Adel Bibi, Bernard Ghanem
Analytical Moment Regularizer for Gaussian Robust Networks. CoRR (2019)
Juan C. Pérez, Motasem Alfarra, Guillaume Jeanneret, Adel Bibi, Ali K. Thabet, Bernard Ghanem, Pablo Arbeláez
Robust Gabor Networks. CoRR (2019)
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)
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 (2018)
Adel Bibi, Modar Alfadly, Bernard Ghanem
Analytic Expressions for Probabilistic Moments of PL-DNN With Gaussian Input. CVPR (2018)
Adel Bibi, Hani Itani, Bernard Ghanem
FFTLasso: Large-Scale LASSO in the Fourier Domain. CVPR (2017)
Adel Bibi, Bernard Ghanem
High Order Tensor Formulation for Convolutional Sparse Coding. ICCV (2017)
Tianzhu Zhang, Adel Bibi, Bernard Ghanem
In Defense of Sparse Tracking: Circulant Sparse Tracker. CVPR (2016)
Adel Bibi, Tianzhu Zhang, Bernard Ghanem
3D Part-Based Sparse Tracker with Automatic Synchronization and Registration. CVPR (2016)
Adel Bibi, Matthias Mueller, Bernard Ghanem
Target Response Adaptation for Correlation Filter Tracking. ECCV (6) (2016)
Adel Bibi, Bernard Ghanem
Multi-template Scale-Adaptive Kernelized Correlation Filters. ICCV Workshops (2015)