adversarial robustness

Nash Equilibria and Pitfalls of Adversarial Training in Adversarial Robustness Games AISTATS 2023 NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks NeurIPS 2023 NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations ICML 2023 Neural Architecture Design and Robustness: A Dataset ICLR 2023 Neural Architecture Search for Wide Spectrum Adversarial Robustness AAAI 2023 Neural Representations Reveal Distinct Modes of Class Fitting in Residual Convolutional Networks AAAI 2023 OmniAL: A Unified CNN Framework for Unsupervised Anomaly Localization CVPR 2023 On Achieving Optimal Adversarial Test Error ICLR 2023 On Adversarial Robustness of Demographic Fairness in Face Attribute Recognition IJCAI 2023 One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning NeurIPS 2023 On Evaluating Adversarial Robustness of Large Vision-Language Models NeurIPS 2023 On Explaining Neural Network Robustness with Activation Path ICLR 2023 Online Nonstochastic Model-Free Reinforcement Learning NeurIPS 2023 On Robustness of Prompt-based Semantic Parsing with Large Pre-trained Language Model: An Empirical Study on Codex EACL 2023 On the Adversarial Robustness of Out-of-distribution Generalization Models NeurIPS 2023 On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective NeurIPS 2023 On the Functional Similarity of Robust and Non-Robust Neural Representations ICML 2023 On the Perils of Cascading Robust Classifiers ICLR 2023 On the Privacy-Robustness-Utility Trilemma in Distributed Learning ICML 2023 On the Robustness of Randomized Ensembles to Adversarial Perturbations ICML 2023 On the Role of Randomization in Adversarially Robust Classification NeurIPS 2023 On the Vulnerability of Backdoor Defenses for Federated Learning AAAI 2023 On Transfer of Adversarial Robustness from Pretraining to Downstream Tasks NeurIPS 2023 PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization NeurIPS 2023 Part-Based Models Improve Adversarial Robustness ICLR 2023