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Adversarial Learning

5,204 papers

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Papers

Trading off Image Quality for Robustness is not Necessary with Regularized Deterministic Autoencoders NeurIPS 2022 Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis AAAI 2022 TransAdv: A Translation-based Adversarial Learning Framework for Zero-Resource Cross-Lingual Named Entity Recognition EMNLP 2022 Transductive Robust Learning Guarantees AISTATS 2022 TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing CVPR 2022 Transferable 3D Adversarial Textures Using End-to-End Optimization WACV 2022 Transferable Adversarial Attack based on Integrated Gradients ICLR 2022 Transformer-based Objective-reinforced Generative Adversarial Network to Generate Desired Molecules IJCAI 2022 Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork NeurIPS 2022 TRAttack: Text Rewriting Attack Against Text Retrieval ACL 2022 Triggerless Backdoor Attack for NLP Tasks with Clean Labels NAACL 2022 Trimmed Maximum Likelihood Estimation for Robust Generalized Linear Model NeurIPS 2022 Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart CVPR 2022 Understanding and Improving Graph Injection Attack by Promoting Unnoticeability ICLR 2022 Understanding and Increasing Efficiency of Frank-Wolfe Adversarial Training CVPR 2022 Understanding Intrinsic Robustness Using Label Uncertainty ICLR 2022 Understanding Robust Overfitting of Adversarial Training and Beyond ICML 2022 Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction AAAI 2022 UniGAN: Reducing Mode Collapse in GANs using a Uniform Generator NeurIPS 2022 Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation NeurIPS 2022 Unlabeled Data Help: Minimax Analysis and Adversarial Robustness AISTATS 2022 Unsupervised Adversarially Robust Representation Learning on Graphs AAAI 2022 Unsupervised Robust Domain Adaptation Without Source Data WACV 2022 Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection NeurIPS 2022 Using Random Perturbations to Mitigate Adversarial Attacks on NLP Models AAAI 2022