adversarial robustness

Privacy-Preserving Face Recognition Using Trainable Feature Subtraction CVPR 2024 Promoting Counterfactual Robustness through Diversity AAAI 2024 Provable Robustness against a Union of L_0 Adversarial Attacks AAAI 2024 Provably Robust Conformal Prediction with Improved Efficiency ICLR 2024 RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors ACL 2024 Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts NeurIPS 2024 RAMP: Boosting Adversarial Robustness Against Multiple l_p Perturbations for Universal Robustness NeurIPS 2024 Random Entangled Tokens for Adversarially Robust Vision Transformer CVPR 2024 Random Smooth-based Certified Defense against Text Adversarial Attack EACL 2024 Relational Verification Leaps Forward with RABBit NeurIPS 2024 Representation-Based Robustness in Goal-Conditioned Reinforcement Learning AAAI 2024 Rethinking Adversarial Robustness in the Context of the Right to be Forgotten ICML 2024 Rethinking Label Poisoning for GNNs: Pitfalls and Attacks ICLR 2024 Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models NeurIPS 2024 Revisiting Adversarial Training at Scale CVPR 2024 Revisiting the Information Capacity of Neural Network Watermarks: Upper Bound Estimation and Beyond AAAI 2024 Reward Certification for Policy Smoothed Reinforcement Learning AAAI 2024 Risk Management in Image Generative Models through Model Fingerprinting AAAI 2024 Robust Classification via a Single Diffusion Model ICML 2024 Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples CVPR 2024 Robust Entropy Search for Safe Efficient Bayesian Optimization UAI 2024 Robust Graph Neural Networks via Unbiased Aggregation NeurIPS 2024 Robust Neural Contextual Bandit against Adversarial Corruptions NeurIPS 2024 Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM CVPR 2024 Robust Sparse Regression with Non-Isotropic Designs NeurIPS 2024