Adversarial Learning

Multi-level Generative Models for Partial Label Learning with Non-random Label Noise IJCAI 2021 Multilingual and Multilabel Emotion Recognition using Virtual Adversarial Training EMNLP 2021 Multimodal Trajectory Predictions for Autonomous Driving Without a Detailed Prior Map WACV 2021 Multi-Style Transfer with Discriminative Feedback on Disjoint Corpus NAACL 2021 Multi-Target Invisibly Trojaned Networks for Visual Recognition and Detection IJCAI 2021 Multi-type Disentanglement without Adversarial Training AAAI 2021 Naturalistic Physical Adversarial Patch for Object Detectors ICCV 2021 Natural language adversarial defense through synonym encoding UAI 2021 Neural Architecture Dilation for Adversarial Robustness NeurIPS 2021 Neural Tangent Generalization Attacks ICML 2021 Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks AISTATS 2021 Not All Low-Pass Filters are Robust in Graph Convolutional Networks NeurIPS 2021 Not Just Compete, but Collaborate: Local Image-to-Image Translation via Cooperative Mask Prediction CVPR 2021 Observation-Free Attacks on Stochastic Bandits NeurIPS 2021 OCHADAI-KYOTO at SemEval-2021 Task 1: Enhancing Model Generalization and Robustness for Lexical Complexity Prediction SemEval 2021 Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap ICML 2021 On Characterizing GAN Convergence Through Proximal Duality Gap ICML 2021 One-shot Face Reenactment Using Appearance Adaptive Normalization AAAI 2021 One-Shot Voice Conversion with Speaker-Agnostic StarGAN Interspeech 2021 On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning ICLR 2021 On Generating Transferable Targeted Perturbations ICCV 2021 Online Class-Incremental Continual Learning with Adversarial Shapley Value AAAI 2021 On Optimal Robustness to Adversarial Corruption in Online Decision Problems NeurIPS 2021 On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Framework ICML 2021 On Reinforcement Learning with Adversarial Corruption and Its Application to Block MDP ICML 2021