adversarial attack

Adversarial Parameter Attack on Deep Neural Networks ICML 2023 Adversarial Policies Beat Superhuman Go AIs ICML 2023 Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach NeurIPS 2023 Adversarial Robustness through Random Weight Sampling NeurIPS 2023 Adversarial Robustness via Random Projection Filters CVPR 2023 An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability ICCV 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 Another Dead End for Morphological Tags? Perturbed Inputs and Parsing ACL 2023 A Practical Upper Bound for the Worst-Case Attribution Deviations CVPR 2023 Architectural Backdoors in Neural Networks CVPR 2023 Are Synonym Substitution Attacks Really Synonym Substitution Attacks? ACL 2023 “Are Your Explanations Reliable?” Investigating the Stability of LIME in Explaining Text Classifiers by Marrying XAI and Adversarial Attack EMNLP 2023 A Theory of Transfer-Based Black-Box Attacks: Explanation and Implications NeurIPS 2023 Attack Can Benefit: An Adversarial Approach to Recognizing Facial Expressions under Noisy Annotations AAAI 2023 Attacks on Online Learners: a Teacher-Student Analysis NeurIPS 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 BERT Lost Patience Won't Be Robust to Adversarial Slowdown NeurIPS 2023 Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating AAAI 2023 Black-Box Adversarial Attack on Time Series Classification AAAI 2023 Black-Box Data Poisoning Attacks on Crowdsourcing IJCAI 2023 Blurred-Dilated Method for Adversarial Attacks NeurIPS 2023