Adversarial Learning

Learnability Lock: Authorized Learnability Control Through Adversarial Invertible Transformations ICLR 2022 Learning Agile Skills via Adversarial Imitation of Rough Partial Demonstrations CoRL 2022 Learning Coated Adversarial Camouflages for Object Detectors IJCAI 2022 Learning Disentangled Representations of Negation and Uncertainty ACL 2022 Learning fair representation with a parametric integral probability metric ICML 2022 Learning from Demonstration: Provably Efficient Adversarial Policy Imitation with Linear Function Approximation ICML 2022 Learning General Halfspaces with Adversarial Label Noise via Online Gradient Descent ICML 2022 Learning Human Driving Behaviors with Sequential Causal Imitation Learning AAAI 2022 Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation EMNLP 2022 Learning to Attack Federated Learning: A Model-based Reinforcement Learning Attack Framework NeurIPS 2022 Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs NeurIPS 2022 Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations IJCAI 2022 Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization ICML 2022 Learning to Learn Transferable Attack AAAI 2022 Learning Universal Adversarial Perturbation by Adversarial Example AAAI 2022 Leveraging Adversarial Examples To Quantify Membership Information Leakage CVPR 2022 Leveraging Expert Guided Adversarial Augmentation For Improving Generalization in Named Entity Recognition ACL 2022 Limiting Behaviors of Nonconvex-Nonconcave Minimax Optimization via Continuous-Time Systems ALT 2022 Localized Adversarial Domain Generalization CVPR 2022 Logically Consistent Adversarial Attacks for Soft Theorem Provers IJCAI 2022 LOGICDEF: An Interpretable Defense Framework against Adversarial Examples via Inductive Scene Graph Reasoning AAAI 2022 LogiGAN: Learning Logical Reasoning via Adversarial Pre-training NeurIPS 2022 longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks. NAACL 2022 Look Closer To Supervise Better: One-Shot Font Generation via Component-Based Discriminator CVPR 2022 LyaNet: A Lyapunov Framework for Training Neural ODEs ICML 2022