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Adversarial Learning

4854 directly classified papers

Papers per year

Papers

Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples NIPS 2023
Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets AISTATS 2023
T-SEA: Transfer-Based Self-Ensemble Attack on Object Detection CVPR 2023
Sibling-Attack: Rethinking Transferable Adversarial Attacks Against Face Recognition CVPR 2023
Boundary-Aware Backward-Compatible Representation via Adversarial Learning in Image Retrieval CVPR 2023
MORGAN: Meta-Learning-Based Few-Shot Open-Set Recognition via Generative Adversarial Network WACV 2023
Jedi: Entropy-Based Localization and Removal of Adversarial Patches CVPR 2023
Poisoning-Based Backdoor Attacks in Computer Vision AAAI 2023
Online Defense Strategies for Reinforcement Learning Against Adaptive Reward Poisoning AISTATS 2023
Discrete Point-Wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition CVPR 2023
Global-Local Regularization Via Distributional Robustness AISTATS 2023
ODA_SRIB at SemEval-2023 Task 9: A Multimodal Approach for Improved Intimacy Analysis SEMEVAL 2023
SUTNLP at SemEval-2023 Task 4: LG-Transformer for Human Value Detection SEMEVAL 2023
Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks AAAI 2023
Memorization Weights for Instance Reweighting in Adversarial Training AAAI 2023
Combining Adversaries with Anti-adversaries in Training AAAI 2023
SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack AAAI 2023
DisGUIDE: Disagreement-Guided Data-Free Model Extraction AAAI 2023
Advances in AI for Safety, Equity, and Well-Being on Web and Social Media: Detection, Robustness, Attribution, and Mitigation AAAI 2023
Training Meta-Surrogate Model for Transferable Adversarial Attack AAAI 2023
Mitigating Adversarial Norm Training with Moral Axioms AAAI 2023
Generative Bias for Robust Visual Question Answering CVPR 2023
Label Poisoning is All You Need NIPS 2023
Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection NIPS 2023
CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models AAAI 2023