Adversarial Learning

Understanding and Defending Patched-based Adversarial Attacks for Vision Transformer ICML 2023 Understanding Backdoor Attacks through the Adaptability Hypothesis ICML 2023 Understanding the Impact of Adversarial Robustness on Accuracy Disparity ICML 2023 UNICORN: A Unified Backdoor Trigger Inversion Framework ICLR 2023 Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning AAAI 2023 Unveiling Safety Vulnerabilities of Large Language Models EMNLP 2023 VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models NeurIPS 2023 VoteTRANS: Detecting Adversarial Text without Training by Voting on Hard Labels of Transformations ACL 2023 White-Box Multi-Objective Adversarial Attack on Dialogue Generation ACL 2023 You Are Catching My Attention: Are Vision Transformers Bad Learners Under Backdoor Attacks? CVPR 2023 360-Attack: Distortion-Aware Perturbations From Perspective-Views CVPR 2022 A2: Efficient Automated Attacker for Boosting Adversarial Training NeurIPS 2022 A Branch and Bound Framework for Stronger Adversarial Attacks of ReLU Networks ICML 2022 ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation EMNLP 2022 Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition NeurIPS 2022 Adversarial Eigen Attack on Black-Box Models CVPR 2022 Adversarial Knowledge Distillation For Robust Spoken Language Understanding Interspeech 2022 Adversarial Laser Spot: Robust and Covert Physical-World Attack to DNNs ACML 2022 Adversarial Learning from Crowds AAAI 2022 Adversarially Regularized Policy Learning Guided by Trajectory Optimization L4DC 2022 Adversarial Reprogramming Revisited NeurIPS 2022 Adversarial Retriever-Ranker for Dense Text Retrieval ICLR 2022 Adversarial Reweighting for Speaker Verification Fairness Interspeech 2022 Adversarial Robustness Guarantees for Gaussian Processes JMLR 2022 Adversarial Texture for Fooling Person Detectors in the Physical World CVPR 2022