Adversarial Learning

A Black-Box Attack on Code Models via Representation Nearest Neighbor Search EMNLP 2023 Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples ICML 2023 Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Linear Subspaces NeurIPS 2023 Adversarially Robust Neural Architecture Search for Graph Neural Networks CVPR 2023 Adversarial Robustness for Large Language NER models using Disentanglement and Word Attributions EMNLP 2023 Adversarial robustness of VAEs through the lens of local geometry AISTATS 2023 Adversarial Robustness via Random Projection Filters CVPR 2023 Adversarial Self-Attention for Language Understanding AAAI 2023 Adversarial Text Generation by Search and Learning EMNLP 2023 Adversarial Textual Robustness on Visual Dialog ACL 2023 A Gradient Control Method for Backdoor Attacks on Parameter-Efficient Tuning ACL 2023 AGRO: Adversarial discovery of error-prone Groups for Robust Optimization ICLR 2023 A law of adversarial risk, interpolation, and label noise ICLR 2023 Analysis of Master Vein Attacks on Finger Vein Recognition Systems WACV 2023 An Analysis of Robustness of Non-Lipschitz Networks JMLR 2023 Angelic Patches for Improving Third-Party Object Detector Performance CVPR 2023 Architectural Backdoors in Neural Networks CVPR 2023 Are Synonym Substitution Attacks Really Synonym Substitution Attacks? ACL 2023 ASSERT: Automated Safety Scenario Red Teaming for Evaluating the Robustness of Large Language Models EMNLP 2023 Attention-Enhancing Backdoor Attacks Against BERT-based Models EMNLP 2023 BadTrack: A Poison-Only Backdoor Attack on Visual Object Tracking NeurIPS 2023 Batchnorm Allows Unsupervised Radial Attacks NeurIPS 2023 BIRD: Generalizable Backdoor Detection and Removal for Deep Reinforcement Learning NeurIPS 2023 BITE: Textual Backdoor Attacks with Iterative Trigger Injection ACL 2023 BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming ICML 2023