Adversarial Learning

Non-Parallel Voice Conversion with Fewer Labeled Data by Conditional Generative Adversarial Networks Interspeech 2020 NPU Speaker Verification System for INTERSPEECH 2020 Far-Field Speaker Verification Challenge Interspeech 2020 NutCracker at WNUT-2020 Task 2: Robustly Identifying Informative COVID-19 Tweets using Ensembling and Adversarial Training EMNLP 2020 Old Is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm CVPR 2020 On Adaptive Attacks to Adversarial Example Defenses NeurIPS 2020 On Breaking Deep Generative Model-based Defenses and Beyond ICML 2020 Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free NeurIPS 2020 One Man's Trash Is Another Man's Treasure: Resisting Adversarial Examples by Adversarial Examples CVPR 2020 One-Shot Adversarial Attacks on Visual Tracking With Dual Attention CVPR 2020 On Isometry Robustness of Deep 3D Point Cloud Models Under Adversarial Attacks CVPR 2020 Online Data Poisoning Attacks L4DC 2020 On Lp-norm Robustness of Ensemble Decision Stumps and Trees ICML 2020 On Positive-Unlabeled Classification in GAN CVPR 2020 On Relativistic f-Divergences ICML 2020 On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them NeurIPS 2020 On the Sample Complexity of Adversarial Multi-Source PAC Learning ICML 2020 On the "steerability" of generative adversarial networks ICLR 2020 On the Tightness of Semidefinite Relaxations for Certifying Robustness to Adversarial Examples NeurIPS 2020 On the Trade-off between Adversarial and Backdoor Robustness NeurIPS 2020 Optimal Learning from Verified Training Data NeurIPS 2020 Optimal Strategies Against Generative Attacks ICLR 2020 Overfitting in adversarially robust deep learning ICML 2020 Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality NeurIPS 2020 Parameterised Resource-Bounded ATL AAAI 2020 Parameterized Rate-Distortion Stochastic Encoder ICML 2020