{"total":17,"rows":[{"id":"2405.09786","title":"IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling Consistency","created":"2024-05-16","cited_by_count":39,"area":null},{"id":"2303.01325","title":"A Pathway Towards Responsible AI Generated Content","created":"2023-03-02","cited_by_count":38,"area":null},{"id":"2407.19845","title":"BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning","created":"2024-07-29","cited_by_count":19,"area":null},{"id":"2405.19524","title":"AI Risk Management Should Incorporate Both Safety and Security","created":"2024-05-29","cited_by_count":17,"area":null},{"id":"2312.08890","title":"Defenses in Adversarial Machine Learning: A Survey","created":"2023-12-13","cited_by_count":14,"area":null},{"id":"2403.10717","title":"Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency","created":"2024-03-15","cited_by_count":13,"area":null},{"id":"2405.14672","title":"Invisible Backdoor Attack against Self-supervised Learning","created":"2024-05-23","cited_by_count":6,"area":null},{"id":"2503.21305","title":"DeBackdoor: A Deductive Framework for Detecting Backdoor Attacks on Deep Models with Limited Data","created":"2025-03-27","cited_by_count":5,"area":null},{"id":"2504.08812","title":"Mechanistic Anomaly Detection for \"Quirky\" Language Models","created":"2025-04-09","cited_by_count":5,"area":null},{"id":"2403.15955","title":"Finding needles in a haystack: A Black-Box Approach to Invisible Watermark Detection","created":"2024-03-23","cited_by_count":3,"area":null},{"id":"2506.07467","title":"Circumventing Backdoor Space via Weight Symmetry","created":"2025-06-09","cited_by_count":2,"area":null},{"id":"2401.15002","title":"BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning","created":"2024-01-26","cited_by_count":0,"area":null},{"id":"2405.13217","title":"Interactive Simulations of Backdoors in Neural Networks","created":"2024-05-21","cited_by_count":0,"area":null},{"id":"2504.02142","title":"Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds","created":"2025-04-02","cited_by_count":0,"area":null},{"id":"2602.00183","title":"RPP: A Certified Poisoned-Sample Detection Framework for Backdoor Attacks under Dataset Imbalance","created":"2026-01-30","cited_by_count":0,"area":null},{"id":"2605.01298","title":"Checkerboard: Closed-Form and Data-Independent Trigger Design for Clean-Label Backdoor Attacks","created":"2026-05-02","cited_by_count":0,"area":null},{"id":"2609.29099","title":"TraceGuard: Adaptive Multimodal Poison Filtering through Cross-Feature Rank Agreement","created":"2026-09-24","cited_by_count":0,"area":null}],"next_cursor":null}