adversarial perturbation

Adversarial Robustness Guarantees for Random Deep Neural Networks ICML 2021 Adversarial Turing Patterns from Cellular Automata AAAI 2021 Anonymizing Egocentric Videos ICCV 2021 Appending Adversarial Frames for Universal Video Attack WACV 2021 Augmenting Imbalanced Time-series Data via Adversarial Perturbation in Latent Space ACML 2021 A Unified Approach to Interpreting and Boosting Adversarial Transferability ICLR 2021 A Unified Multi-Scenario Attacking Network for Visual Object Tracking AAAI 2021 Center Smoothing: Certified Robustness for Networks with Structured Outputs NeurIPS 2021 Class-Aware Robust Adversarial Training for Object Detection CVPR 2021 Contrast and Classify: Training Robust VQA Models ICCV 2021 Contrastive Learning with Adversarial Perturbations for Conditional Text Generation ICLR 2021 DANCE: Enhancing saliency maps using decoys ICML 2021 DeHiB: Deep Hidden Backdoor Attack on Semi-supervised Learning via Adversarial Perturbation AAAI 2021 Demiguise Attack: Crafting Invisible Semantic Adversarial Perturbations with Perceptual Similarity IJCAI 2021 Dethroning Aristocracy in Graphs via Adversarial Perturbations (Student Abstract) AAAI 2021 Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation ICCV 2021 EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation AAAI 2021 Evaluations and Methods for Explanation through Robustness Analysis ICLR 2021 Explaining Classifiers Using Adversarial Perturbations on the Perceptual Ball CVPR 2021 Fair Classification with Adversarial Perturbations NeurIPS 2021 FIMAP: Feature Importance by Minimal Adversarial Perturbation AAAI 2021 Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries AAAI 2021 Interpreting Attributions and Interactions of Adversarial Attacks ICCV 2021 Investigating vulnerabilities of deep neural policies UAI 2021 Invisible Backdoor Attack With Sample-Specific Triggers ICCV 2021