adversarial robustness

Policy Smoothing for Provably Robust Reinforcement Learning ICLR 2022 Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack CVPR 2022 Pre-trained Adversarial Perturbations NeurIPS 2022 Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean Estimation NeurIPS 2022 Provable Adversarial Robustness for Fractional Lp Threat Models AISTATS 2022 Provably Adversarially Robust Detection of Out-of-Distribution Data (Almost) for Free NeurIPS 2022 Provably Adversarially Robust Nearest Prototype Classifiers ICML 2022 Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks NeurIPS 2022 Random Normalization Aggregation for Adversarial Defense NeurIPS 2022 REGroup: Rank-Aggregating Ensemble of Generative Classifiers for Robust Predictions WACV 2022 Reliable Adversarial Distillation with Unreliable Teachers ICLR 2022 Removing Batch Normalization Boosts Adversarial Training ICML 2022 Rethinking and Improving Robustness of Convolutional Neural Networks: a Shapley Value-based Approach in Frequency Domain NeurIPS 2022 Reverse Engineering ℓ_p attacks: A block-sparse optimization approach with recovery guarantees ICML 2022 Revisiting Online Submodular Minimization: Gap-Dependent Regret Bounds, Best of Both Worlds and Adversarial Robustness ICML 2022 Revisiting Sparse Convolutional Model for Visual Recognition NeurIPS 2022 Robust Binary Models by Pruning Randomly-initialized Networks NeurIPS 2022 Robust Combination of Distributed Gradients Under Adversarial Perturbations CVPR 2022 Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum ICML 2022 Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances IJCAI 2022 Robust Image Forgery Detection Over Online Social Network Shared Images CVPR 2022 Robust Learning against Relational Adversaries NeurIPS 2022 Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness? ICLR 2022 Robust Lottery Tickets for Pre-trained Language Models ACL 2022 Robust Models Are More Interpretable Because Attributions Look Normal ICML 2022