Adversarial Learning

Adversarially Robust Learning with Unknown Perturbation Sets COLT 2021 Adversarially Robust Low Dimensional Representations COLT 2021 Adversarial Mixing Policy for Relaxing Locally Linear Constraints in Mixup EMNLP 2021 Adversarial Monte Carlo Meta-Learning of Optimal Prediction Procedures JMLR 2021 Adversarial Multi Class Learning under Weak Supervision with Performance Guarantees ICML 2021 Adversarial Neuron Pruning Purifies Backdoored Deep Models NeurIPS 2021 Adversarial Partial Multi-Label Learning with Label Disambiguation AAAI 2021 Adversarial Policy Learning in Two-player Competitive Games ICML 2021 Adversarial Pose Regression Network for Pose-Invariant Face Recognitions AAAI 2021 Adversarial Purification with Score-based Generative Models ICML 2021 Adversarial Regression with Doubly Non-negative Weighting Matrices NeurIPS 2021 Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach EMNLP 2021 Adversarial Reinforcement Learning for Unsupervised Domain Adaptation WACV 2021 Adversarial Reweighting for Partial Domain Adaptation NeurIPS 2021 Adversarial Robustness Across Representation Spaces CVPR 2021 Adversarial Robustness for Unsupervised Domain Adaptation ICCV 2021 Adversarial Robustness Guarantees for Random Deep Neural Networks ICML 2021 Adversarial Robustness of Streaming Algorithms through Importance Sampling NeurIPS 2021 Adversarial Robustness through Disentangled Representations AAAI 2021 Adversarial Robustness Under Long-Tailed Distribution CVPR 2021 Adversarial Robustness with Non-uniform Perturbations NeurIPS 2021 Adversarial Robustness without Adversarial Training: A Teacher-Guided Curriculum Learning Approach NeurIPS 2021 Adversarial Robustness with Semi-Infinite Constrained Learning NeurIPS 2021 Adversarial Scrubbing of Demographic Information for Text Classification EMNLP 2021 Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization CoRL 2021