Adversarial Learning

Maximum Mean Discrepancy Test is Aware of Adversarial Attacks ICML 2021 Meta Gradient Adversarial Attack ICCV 2021 Mind the Box: l_1-APGD for Sparse Adversarial Attacks on Image Classifiers ICML 2021 Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer EMNLP 2021 Mixed Nash Equilibria in the Adversarial Examples Game ICML 2021 Model-Targeted Poisoning Attacks with Provable Convergence ICML 2021 Morié Attack (MA): A New Potential Risk of Screen Photos NeurIPS 2021 Multi-Expert Adversarial Attack Detection in Person Re-Identification Using Context Inconsistency ICCV 2021 Multi-granularity Textual Adversarial Attack with Behavior Cloning EMNLP 2021 Multilingual and Multilabel Emotion Recognition using Virtual Adversarial Training EMNLP 2021 On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms NeurIPS 2021 On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study ACL 2021 On the Robustness of Vision Transformers to Adversarial Examples ICCV 2021 OpenAttack: An Open-source Textual Adversarial Attack Toolkit ACL 2021 Over-the-Air Adversarial Flickering Attacks Against Video Recognition Networks CVPR 2021 PAC-Learning for Strategic Classification ICML 2021 Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing EMNLP 2021 PID-Based Approach to Adversarial Attacks AAAI 2021 PointGuard: Provably Robust 3D Point Cloud Classification CVPR 2021 Poisoning Knowledge Graph Embeddings via Relation Inference Patterns ACL 2021 PopSkipJump: Decision-Based Attack for Probabilistic Classifiers ICML 2021 Practical Relative Order Attack in Deep Ranking ICCV 2021 Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation ICML 2021 Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise ICML 2021 Provably Efficient Actor-Critic for Risk-Sensitive and Robust Adversarial RL: A Linear-Quadratic Case AISTATS 2021