Adel Bibi

FORCE: Transferable Visual Jailbreaking Attacks via Feature Over-Reliance CorrEction CVPR 2026 Bi-Factorial Preference Optimization: Balancing Safety-Helpfulness in Language Models ICLR 2025 Detecting LLM Hallucination Through Layer-wise Information Deficiency: Analysis of Ambiguous Prompts and Unanswerable Questions EMNLP 2025 Do as I do (Safely): Mitigating Task-Specific Fine-tuning Risks in Large Language Models ICLR 2025 Mixture of Experts Made Intrinsically Interpretable ICML 2025 Shh, don't say that! Domain Certification in LLMs ICLR 2025 Towards Certification of Uncertainty Calibration under Adversarial Attacks ICLR 2025 Can Large Language Model Agents Simulate Human Trust Behavior? NeurIPS 2024 Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation ICLR 2024 Efficient Error Certification for Physics-Informed Neural Networks ICML 2024 Efficient Lifelong Model Evaluation in an Era of Rapid Progress NeurIPS 2024 FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging MICCAI 2024 Illusory Attacks: Information-theoretic detectability matters in adversarial attacks ICLR 2024 Label Delay in Online Continual Learning NeurIPS 2024 Model Merging and Safety Alignment: One Bad Model Spoils the Bunch EMNLP 2024 No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance NeurIPS 2024 On Pretraining Data Diversity for Self-Supervised Learning ECCV 2024 Position: Near to Mid-term Risks and Opportunities of Open-Source Generative AI ICML 2024 Prompting a Pretrained Transformer Can Be a Universal Approximator ICML 2024 SimCS: Simulation for Domain Incremental Online Continual Segmentation AAAI 2024 Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation ICML 2024 Universal In-Context Approximation By Prompting Fully Recurrent Models NeurIPS 2024 When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations ICLR 2024 Certifying Ensembles: A General Certification Theory with S-Lipschitzness ICML 2023 Computationally Budgeted Continual Learning: What Does Matter? CVPR 2023 Language Model Tokenizers Introduce Unfairness Between Languages NeurIPS 2023 RANCER: Non-Axis Aligned Anisotropic Certification With Randomized Smoothing WACV 2023 Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right? ICCV 2023 Real-Time Evaluation in Online Continual Learning: A New Hope CVPR 2023 Combating Adversaries with Anti-adversaries AAAI 2022 Data dependent randomized smoothing UAI 2022 DeformRS: Certifying Input Deformations with Randomized Smoothing AAAI 2022 Make Some Noise: Reliable and Efficient Single-Step Adversarial Training NeurIPS 2022 A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control AAAI 2020 A Stochastic Derivative Free Optimization Method with Momentum ICLR 2020 Gabor Layers Enhance Network Robustness ECCV 2020 Deep Layers as Stochastic Solvers ICLR 2019 Analytic Expressions for Probabilistic Moments of PL-DNN With Gaussian Input CVPR 2018 TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild ECCV 2018 FFTLasso: Large-Scale LASSO in the Fourier Domain CVPR 2017 High Order Tensor Formulation for Convolutional Sparse Coding ICCV 2017 3D Part-Based Sparse Tracker With Automatic Synchronization and Registration CVPR 2016 In Defense of Sparse Tracking: Circulant Sparse Tracker CVPR 2016