{"total":20,"rows":[{"id":"2106.07904","title":"Probabilistic Margins for Instance Reweighting in Adversarial Training","created":"2021-06-15","cited_by_count":57,"area":null},{"id":"2207.03162","title":"Harnessing Out-Of-Distribution Examples via Augmenting Content and Style","created":"2022-07-07","cited_by_count":43,"area":null},{"id":"2202.04235","title":"Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations","created":"2022-02-09","cited_by_count":26,"area":null},{"id":"2212.01806","title":"Recognizing Object by Components with Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks","created":"2022-12-04","cited_by_count":18,"area":null},{"id":"2303.14133","title":"Survey on Adversarial Attack and Defense for Medical Image Analysis: Methods and Challenges","created":"2023-03-24","cited_by_count":17,"area":null},{"id":"2207.12203","title":"Improving Adversarial Robustness via Mutual Information Estimation","created":"2022-07-25","cited_by_count":13,"area":null},{"id":"2109.09901","title":"Modeling Adversarial Noise for Adversarial Training","created":"2021-09-21","cited_by_count":8,"area":null},{"id":"2403.13322","title":"DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation","created":"2024-03-20","cited_by_count":8,"area":null},{"id":"2505.01267","title":"Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain","created":"2025-05-02","cited_by_count":8,"area":null},{"id":"2204.12050","title":"Self-recoverable Adversarial Examples: A New Effective Protection Mechanism in Social Networks","created":"2022-04-26","cited_by_count":6,"area":null},{"id":"2403.11448","title":"Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM","created":"2024-03-18","cited_by_count":6,"area":null},{"id":"2404.03340","title":"Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks","created":"2024-04-04","cited_by_count":5,"area":null},{"id":"2309.04650","title":"Exploring Robust Features for Improving Adversarial Robustness","created":"2023-09-09","cited_by_count":4,"area":null},{"id":"2210.01288","title":"Strength-Adaptive Adversarial Training","created":"2022-10-04","cited_by_count":3,"area":null},{"id":"2412.11066","title":"Learning Robust and Privacy-Preserving Representations via Information Theory","created":"2024-12-15","cited_by_count":3,"area":null},{"id":"2406.10933","title":"Improving Adversarial Robustness via Decoupled Visual Representation Masking","created":"2024-06-16","cited_by_count":2,"area":null},{"id":"2411.02871","title":"Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training","created":"2024-11-05","cited_by_count":2,"area":null},{"id":"2508.17680","title":"Robustness Feature Adapter for Efficient Adversarial Training","created":"2025-08-25","cited_by_count":2,"area":null},{"id":"2406.03143","title":"ZeroPur: Succinct Training-Free Adversarial Purification","created":"2024-06-05","cited_by_count":1,"area":null},{"id":"2312.10320","title":"Symmetrical Bidirectional Knowledge Alignment for Zero-Shot Sketch-Based Image Retrieval","created":"2023-12-16","cited_by_count":0,"area":null}],"next_cursor":null}