adversarial attack

T-SEA: Transfer-Based Self-Ensemble Attack on Object Detection CVPR 2023 Turning Strengths Into Weaknesses: A Certified Robustness Inspired Attack Framework Against Graph Neural Networks CVPR 2023 Uncovering Adversarial Risks of Test-Time Adaptation ICML 2023 Understanding and Defending Patched-based Adversarial Attacks for Vision Transformer ICML 2023 Understanding and Improving Ensemble Adversarial Defense NeurIPS 2023 Unfooling Perturbation-Based Post Hoc Explainers AAAI 2023 Unified Adversarial Patch for Cross-Modal Attacks in the Physical World ICCV 2023 Unveiling Safety Vulnerabilities of Large Language Models EMNLP 2023 Unveiling the Implicit Toxicity in Large Language Models EMNLP 2023 UPTON: Preventing Authorship Leakage from Public Text Release via Data Poisoning EMNLP 2023 Using Punctuation as an Adversarial Attack on Deep Learning-Based NLP Systems: An Empirical Study EACL 2023 VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models NeurIPS 2023 VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models NeurIPS 2023 VoteTRANS: Detecting Adversarial Text without Training by Voting on Hard Labels of Transformations ACL 2023 Vulnerabilities in Video Quality Assessment Models: The Challenge of Adversarial Attacks NeurIPS 2023 Wasserstein distributional robustness of neural networks NeurIPS 2023 What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners? NeurIPS 2023 White-Box Multi-Objective Adversarial Attack on Dialogue Generation ACL 2023 Why adversarial training can hurt robust accuracy ICLR 2023 XRand: Differentially Private Defense against Explanation-Guided Attacks AAAI 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 Accelerating Certified Robustness Training via Knowledge Transfer NeurIPS 2022 ADC: Adversarial Attacks Against Object Detection That Evade Context Consistency Checks WACV 2022