adversarial vulnerability

BadVideo: Stealthy Backdoor Attack against Text-to-Video Generation ICCV 2025 On the Adversarial Vulnerability of Label-Free Test-Time Adaptation ICLR 2025 Anomaly Score: Evaluating Generative Models and Individual Generated Images based on Complexity and Vulnerability CVPR 2024 Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers NeurIPS 2024 Effect of Ambient-Intrinsic Dimension Gap on Adversarial Vulnerability AISTATS 2024 On the Effects of Fairness to Adversarial Vulnerability IJCAI 2024 Some Fundamental Aspects about Lipschitz Continuity of Neural Networks ICLR 2024 A law of adversarial risk, interpolation, and label noise ICLR 2023 Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts ICML 2023 Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning ICCV 2023 Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly NeurIPS 2023 Cluster Attack: Query-based Adversarial Attacks on Graph with Graph-Dependent Priors IJCAI 2022 Characterizing the Evasion Attackability of Multi-label Classifiers AAAI 2021 Improved Estimation of Concentration Under ℓ_p-Norm Distance Metrics Using Half Spaces ICLR 2021 Just One Moment: Structural Vulnerability of Deep Action Recognition Against One Frame Attack ICCV 2021 DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles NeurIPS 2020 Neuron Shapley: Discovering the Responsible Neurons NeurIPS 2020 New Interpretations of Normalization Methods in Deep Learning AAAI 2020 Understanding Generalization in Neural Networks for Robustness against Adversarial Vulnerabilities AAAI 2020 Excessive Invariance Causes Adversarial Vulnerability ICLR 2019