Adel Bibi

According to our database, Adel Bibi authored at least 67 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Bi-Factorial Preference Optimization: Balancing Safety-Helpfulness in Language Models.

Wenxuan Zhang, Philip H. S. Torr, Mohamed Elhoseiny, Adel Bibi

CoRR, 2024

Mimicking User Data: On Mitigating Fine-Tuning Risks in Closed Large Language Models.

Francisco Eiras, Aleksandar Petrov, Philip H. S. Torr, M. Pawan Kumar, Adel Bibi

CoRR, 2024

Universal In-Context Approximation By Prompting Fully Recurrent Models.

Aleksandar Petrov, Tom A. Lamb, Alasdair Paren, Philip Torr, Adel Bibi

CoRR, 2024

Towards Certification of Uncertainty Calibration under Adversarial Attacks.

Cornelius Emde, Francesco Pinto, Thomas Lukasiewicz, Philip H. S. Torr, Adel Bibi

CoRR, 2024

Risks and Opportunities of Open-Source Generative AI.

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

CoRR, 2024

Near to Mid-term Risks and Opportunities of Open Source Generative AI.

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

CoRR, 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

CoRR, 2024

Lifelong Benchmarks: Efficient Model Evaluation in an Era of Rapid Progress.

Ameya Prabhu, Vishaal Udandarao, Philip Torr, Matthias Bethge, Adel Bibi, Samuel Albanie

CoRR, 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

CoRR, 2024

SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?

Hasan Abed Al Kader Hammoud, Hani Itani, Fabio Pizzati, Philip Torr, Adel Bibi, Bernard Ghanem

CoRR, 2024

FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging.

Kumail Alhamoud, Yasir Ghunaim, Motasem Alfarra, Thomas Hartvigsen, Philip Torr, Bernard Ghanem, Adel Bibi, Marzyeh Ghassemi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Prompting a Pretrained Transformer Can Be a Universal Approximator.

Aleksandar Petrov, Philip Torr, Adel Bibi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Position: Near to Mid-term Risks and Opportunities of Open-Source Generative AI.

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Efficient Error Certification for Physics-Informed Neural Networks.

Francisco Eiras, Adel Bibi, Rudy Bunel, Krishnamurthy Dj Dvijotham, Philip Torr, M. Pawan Kumar

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations.

Aleksandar Petrov, Philip Torr, Adel Bibi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Illusory Attacks: Information-theoretic detectability matters in adversarial attacks.

Tim Franzmeyer, Stephen Marcus McAleer, João F. Henriques, Jakob Nicolaus Foerster, Philip Torr, Adel Bibi, Christian Schröder de Witt

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Model Merging and Safety Alignment: One Bad Model Spoils the Bunch.

Hasan Hammoud, Umberto Michieli, Fabio Pizzati, Philip Torr, Adel Bibi, Bernard Ghanem, Mete Ozay

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

On Pretraining Data Diversity for Self-Supervised Learning.

Hasan Abed Al Kader Hammoud, Tuhin Das, Fabio Pizzati, Philip H. S. Torr, Adel Bibi, Bernard Ghanem

Proceedings of the Computer Vision - ECCV 2024, 2024

SimCS: Simulation for Domain Incremental Online Continual Segmentation.

Motasem Alfarra, Zhipeng Cai, Adel Bibi, Bernard Ghanem, Matthias Müller

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

On the Decision Boundaries of Neural Networks: A Tropical Geometry Perspective.

Motasem Alfarra, Adel Bibi, Hasan Hammoud, Mohamed Gaafar, Bernard Ghanem

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Catastrophic overfitting can be induced with discriminative non-robust features.

Guillermo Ortiz-Jiménez, Pau de Jorge, Amartya Sanyal, Adel Bibi, Puneet K. Dokania, Pascal Frossard, Grégory Rogez, Philip Torr

Trans. Mach. Learn. Res., 2023

Label Delay in Continual Learning.

Botos Csaba, Wenxuan Zhang, Matthias Müller, Ser-Nam Lim, Mohamed Elhoseiny, Philip H. S. Torr, Adel Bibi

CoRR, 2023

From Categories to Classifier: Name-Only Continual Learning by Exploring the Web.

Ameya Prabhu, Hasan Abed Al Kader Hammoud, Ser-Nam Lim, Bernard Ghanem, Philip H. S. Torr, Adel Bibi

CoRR, 2023

Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation.

Francisco Eiras, Kemal Oksuz, Adel Bibi, Philip H. S. Torr, Puneet K. Dokania

CoRR, 2023

Provably Correct Physics-Informed Neural Networks.

Francisco Eiras, Adel Bibi, Rudy Bunel, Krishnamurthy (Dj) Dvijotham, Philip H. S. Torr, M. Pawan Kumar

CoRR, 2023

Real-Time Evaluation in Online Continual Learning: A New Paradigm.

Yasir Ghunaim, Adel Bibi, Kumail Alhamoud, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Ameya Prabhu, Philip H. S. Torr, Bernard Ghanem

CoRR, 2023

Constrained Clustering: General Pairwise and Cardinality Constraints.

Adel Bibi, Ali Alqahtani, Bernard Ghanem

IEEE Access, 2023

RANCER: Non-Axis Aligned Anisotropic Certification with Randomized Smoothing.

Taras Rumezhak, Francisco Girbal Eiras, Philip H. S. Torr, Adel Bibi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Language Model Tokenizers Introduce Unfairness Between Languages.

Aleksandar Petrov, Emanuele La Malfa, Philip H. S. Torr, Adel Bibi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Certifying Ensembles: A General Certification Theory with S-Lipschitzness.

Aleksandar Petrov, Francisco Eiras, Amartya Sanyal, Philip H. S. Torr, Adel Bibi

Proceedings of the International Conference on Machine Learning, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

ANCER: Anisotropic Certification via Sample-wise Volume Maximization.

Francisco Eiras, Motasem Alfarra, Philip H. S. Torr, M. Pawan Kumar, Puneet K. Dokania, Bernard Ghanem, Adel Bibi

Trans. Mach. Learn. Res., 2022

SimCS: Simulation for Online Domain-Incremental Continual Segmentation.

Motasem Alfarra, Zhipeng Cai, Adel Bibi, Bernard Ghanem, Matthias Müller

CoRR, 2022

Illusionary Attacks on Sequential Decision Makers and Countermeasures.

Tim Franzmeyer, João F. Henriques, Jakob N. Foerster, Philip H. S. Torr, Adel Bibi, Christian Schröder de Witt

CoRR, 2022

Catastrophic overfitting is a bug but also a feature.

Guillermo Ortiz-Jiménez, Pau de Jorge, Amartya Sanyal, Adel Bibi, Puneet K. Dokania, Pascal Frossard, Grégory Rogez, Philip H. S. Torr

CoRR, 2022

Data dependent randomized smoothing.

Motasem Alfarra, Adel Bibi, Philip H. S. Torr, Bernard Ghanem

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Make Some Noise: Reliable and Efficient Single-Step Adversarial Training.

Pau de Jorge Aranda, Adel Bibi, Riccardo Volpi, Amartya Sanyal, Philip H. S. Torr, Grégory Rogez, Puneet K. Dokania

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Diversified Dynamic Routing for Vision Tasks.

Botos Csaba, Adel Bibi, Yanwei Li, Philip H. S. Torr, Ser-Nam Lim

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Combating Adversaries with Anti-adversaries.

Motasem Alfarra, Juan C. Pérez, Ali K. Thabet, Adel Bibi, Philip H. S. Torr, Bernard Ghanem

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

DeformRS: Certifying Input Deformations with Randomized Smoothing.

Motasem Alfarra, Adel Bibi, Naeemullah Khan, Philip H. S. Torr, Bernard Ghanem

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Rethinking Clustering for Robustness.

Motasem Alfarra, Juan C. Pérez, Adel Bibi, Ali K. Thabet, Pablo Arbeláez, Bernard Ghanem

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Understanding a Block of Layers in Deep Neural Networks: Optimization, Probabilistic and Tropical Geometric Perspectives.

Adel Bibi

PhD thesis, 2020

Network Moments: Extensions and Sparse-Smooth Attacks.

Modar Alfadly, Adel Bibi, Emilio Botero, Salman Al-Subaihi, Bernard Ghanem

CoRR, 2020

ClusTR: Clustering Training for Robustness.

Motasem Alfarra, Juan C. Pérez, Adel Bibi, Ali K. Thabet, Pablo Arbeláez, Bernard Ghanem

CoRR, 2020

On the Decision Boundaries of Deep Neural Networks: A Tropical Geometry Perspective.

Motasem Alfarra, Adel Bibi, Hasan Hammoud, Mohamed Gaafar, Bernard Ghanem

CoRR, 2020

A Stochastic Derivative Free Optimization Method with Momentum.

Eduard Gorbunov, Adel Bibi, Ozan Sener, El Houcine Bergou, Peter Richtárik

Proceedings of the 8th International Conference on Learning Representations, 2020

Gabor Layers Enhance Network Robustness.

Juan C. Pérez, Motasem Alfarra, Guillaume Jeanneret, Adel Bibi, Ali K. Thabet, Bernard Ghanem, Pablo Arbeláez

Proceedings of the Computer Vision - ECCV 2020, 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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Robust Gabor Networks.

Juan C. Pérez, Motasem Alfarra, Guillaume Jeanneret, Adel Bibi, Ali K. Thabet, Bernard Ghanem, Pablo Arbeláez

CoRR, 2019

Constrained K-means with General Pairwise and Cardinality Constraints.

Adel Bibi, Baoyuan Wu, Bernard Ghanem

CoRR, 2019

Probabilistically True and Tight Bounds for Robust Deep Neural Network Training.

Salman Al-Subaihi, Adel Bibi, Modar Alfadly, Bernard Ghanem

CoRR, 2019

Analytical Moment Regularizer for Gaussian Robust Networks.

Modar Alfadly, Adel Bibi, Bernard Ghanem

CoRR, 2019

Local Color Mapping Combined with Color Transfer for Underwater Image Enhancement.

Rafal Protasiuk, Adel Bibi, Bernard Ghanem

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Deep Layers as Stochastic Solvers.

Adel Bibi, Bernard Ghanem, Vladlen Koltun, René Ranftl

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild.

Matthias Müller, Adel Bibi, Silvio Giancola, Salman Al-Subaihi, Bernard Ghanem

Proceedings of the Computer Vision - ECCV 2018, 2018

Analytic Expressions for Probabilistic Moments of PL-DNN With Gaussian Input.

Adel Bibi, Modar Alfadly, Bernard Ghanem

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

High Order Tensor Formulation for Convolutional Sparse Coding.

Adel Bibi, Bernard Ghanem

Proceedings of the IEEE International Conference on Computer Vision, 2017

FFTLasso: Large-Scale LASSO in the Fourier Domain.

Adel Bibi, Hani Itani, Bernard Ghanem

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Target Response Adaptation for Correlation Filter Tracking.

Adel Bibi, Matthias Mueller, Bernard Ghanem

Proceedings of the Computer Vision - ECCV 2016, 2016

In Defense of Sparse Tracking: Circulant Sparse Tracker.

Tianzhu Zhang, Adel Bibi, Bernard Ghanem

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

3D Part-Based Sparse Tracker with Automatic Synchronization and Registration.

Adel Bibi, Tianzhu Zhang, Bernard Ghanem

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Multi-template Scale-Adaptive Kernelized Correlation Filters.

Adel Bibi, Bernard Ghanem

Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015