adversarial perturbation

Boosting the Transferability of Video Adversarial Examples via Temporal Translation AAAI 2022 Certified Adversarial Robustness Under the Bounded Support Set ICML 2022 Consistency Training with Virtual Adversarial Discrete Perturbation NAACL 2022 Cross-Modal Transferable Adversarial Attacks From Images to Videos CVPR 2022 Data poisoning attacks on off-policy policy evaluation methods UAI 2022 Data Poisoning Won’t Save You From Facial Recognition ICLR 2022 DeepFake Disrupter: The Detector of DeepFake Is My Friend CVPR 2022 Diffusion Models for Adversarial Purification ICML 2022 Digital and Physical-World Attacks on Remote Pulse Detection WACV 2022 Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning NeurIPS 2022 Fairness-Aware Adversarial Perturbation Towards Bias Mitigation for Deployed Deep Models CVPR 2022 Fairness Reprogramming NeurIPS 2022 Fooling Explanations in Text Classifiers ICLR 2022 Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attack NeurIPS 2022 GAMA: Generative Adversarial Multi-Object Scene Attacks NeurIPS 2022 Improving Transferability of Adversarial Examples with Virtual Step and Auxiliary Gradients IJCAI 2022 Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting NeurIPS 2022 Learning to Learn Transferable Attack AAAI 2022 Leveraging Adversarial Examples To Quantify Membership Information Leakage CVPR 2022 Making Adversarial Examples More Transferable and Indistinguishable AAAI 2022 Manipulating SHAP via Adversarial Data Perturbations (Student Abstract) AAAI 2022 Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations? ICLR 2022 Perturbation type categorization for multiple adversarial perturbation robustness UAI 2022 Perturbed and Strict Mean Teachers for Semi-Supervised Semantic Segmentation CVPR 2022 Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks AAAI 2022