{"total":16,"rows":[{"id":"2311.15551","title":"Instruct2Attack: Language-Guided Semantic Adversarial Attacks","created":"2023-11-27","cited_by_count":16,"area":null},{"id":"2308.08925","title":"A White-Box False Positive Adversarial Attack Method on Contrastive Loss Based Offline Handwritten Signature Verification Models","created":"2023-08-17","cited_by_count":15,"area":null},{"id":"2312.08890","title":"Defenses in Adversarial Machine Learning: A Survey","created":"2023-12-13","cited_by_count":14,"area":null},{"id":"2408.17064","title":"Instant Adversarial Purification with Adversarial Consistency Distillation","created":"2024-08-30","cited_by_count":14,"area":null},{"id":"2112.06323","title":"Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses","created":"2021-12-12","cited_by_count":10,"area":null},{"id":"2401.14948","title":"Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training","created":"2024-01-26","cited_by_count":6,"area":null},{"id":"2410.15042","title":"Adversarial Training: A Survey","created":"2024-10-19","cited_by_count":6,"area":null},{"id":"2409.17589","title":"Improving Fast Adversarial Training via Self-Knowledge Guidance","created":"2024-09-26","cited_by_count":2,"area":null},{"id":"2410.05951","title":"Hyper Adversarial Tuning for Boosting Adversarial Robustness of Pretrained Large Vision Models","created":"2024-10-08","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":"2511.00836","title":"Parameter Interpolation Adversarial Training for Robust Image Classification","created":"2025-11-02","cited_by_count":1,"area":null},{"id":"2305.09305","title":"Releasing Inequality Phenomenon in $\\ell_{\\infty}$-norm Adversarial Training via Input Gradient Distillation","created":"2023-05-16","cited_by_count":0,"area":null},{"id":"2307.03803","title":"A Theoretical Perspective on Subnetwork Contributions to Adversarial Robustness","created":"2023-07-07","cited_by_count":0,"area":null},{"id":"2310.03358","title":"Enhancing Robust Representation in Adversarial Training: Alignment and Exclusion Criteria","created":"2023-10-05","cited_by_count":0,"area":null},{"id":"2408.03944","title":"Improving Fast Adversarial Training Paradigm: An Example Taxonomy Perspective","created":"2024-07-22","cited_by_count":0,"area":null},{"id":"2604.26496","title":"Robust Alignment: Harmonizing Clean Accuracy and Adversarial Robustness in Adversarial Training","created":"2026-04-29","cited_by_count":0,"area":null}],"next_cursor":null}