Adversarial Learning

NashAE: Disentangling Representations through Adversarial Covariance Minimization ECCV 2022 NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries? EMNLP 2022 Natural Black-Box Adversarial Examples against Deep Reinforcement Learning AAAI 2022 Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks NeurIPS 2022 Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection NAACL 2022 Nested Bandits ICML 2022 NinjaDesc: Content-Concealing Visual Descriptors via Adversarial Learning CVPR 2022 Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-Resolution WACV 2022 Not All Poisons are Created Equal: Robust Training against Data Poisoning ICML 2022 No Weighted-Regret Learning in Adversarial Bandits with Delays JMLR 2022 NRI-FGSM: An Efficient Transferable Adversarial Attack for Speaker Recognition Systems Interspeech 2022 OCHADAI at SemEval-2022 Task 2: Adversarial Training for Multilingual Idiomaticity Detection SemEval 2022 On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles CVPR 2022 On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks IJCAI 2022 One-Class Learned Encoder-Decoder Network With Adversarial Context Masking for Novelty Detection WACV 2022 One-shot Neural Backdoor Erasing via Adversarial Weight Masking NeurIPS 2022 One-Shot Speaker Adaptation Based on Initialization by Generative Adversarial Networks for TTS Interspeech 2022 On Global-view Based Defense via Adversarial Attack and Defense Risk Guaranteed Bounds AISTATS 2022 On Length Divergence Bias in Textual Matching Models ACL 2022 Online Adversarial Attacks ICLR 2022 Online Evasion Attacks on Recurrent Models:The Power of Hallucinating the Future IJCAI 2022 On Optimal Learning Under Targeted Data Poisoning NeurIPS 2022 On the Adversarial Robustness of Causal Algorithmic Recourse ICML 2022 On the Adversarial Robustness of Mixture of Experts NeurIPS 2022 On the effectiveness of adversarial training against common corruptions UAI 2022