{"total":15,"rows":[{"id":"2307.09218","title":"A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning","created":"2023-07-16","cited_by_count":69,"area":null},{"id":"2302.13406","title":"GNNDelete: A General Strategy for Unlearning in Graph Neural Networks","created":"2023-02-26","cited_by_count":43,"area":null},{"id":"2210.12873","title":"FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning","created":"2022-10-23","cited_by_count":37,"area":null},{"id":"2211.10530","title":"Provable Defense against Backdoor Policies in Reinforcement Learning","created":"2022-11-18","cited_by_count":18,"area":null},{"id":"2304.10638","title":"Get Rid Of Your Trail: Remotely Erasing Backdoors in Federated Learning","created":"2023-04-20","cited_by_count":13,"area":null},{"id":"2405.11336","title":"UPAM: Unified Prompt Attack in Text-to-Image Generation Models Against Both Textual Filters and Visual Checkers","created":"2024-05-18","cited_by_count":12,"area":null},{"id":"2405.17929","title":"Towards Unified Robustness Against Both Backdoor and Adversarial Attacks","created":"2024-05-28","cited_by_count":10,"area":null},{"id":"2412.12836","title":"A Survey on Recommendation Unlearning: Fundamentals, Taxonomy, Evaluation, and Open Questions","created":"2024-12-17","cited_by_count":7,"area":null},{"id":"2411.04811","title":"Defending Deep Regression Models against Backdoor Attacks","created":"2024-11-07","cited_by_count":3,"area":null},{"id":"2501.12736","title":"Bad-PFL: Exploring Backdoor Attacks against Personalized Federated Learning","created":"2025-01-22","cited_by_count":2,"area":null},{"id":"2405.03918","title":"Unlearning Backdoor Attacks through Gradient-Based Model Pruning","created":"2024-05-07","cited_by_count":1,"area":null},{"id":"2508.10065","title":"Invisible Watermarks, Visible Gains: Steering Machine Unlearning with Bi-Level Watermarking Design","created":"2025-08-13","cited_by_count":1,"area":null},{"id":"2512.19286","title":"GShield: Mitigating Poisoning Attacks in Federated Learning","created":"2025-12-22","cited_by_count":1,"area":null},{"id":"2503.20925","title":"Prototype Guided Backdoor Defense","created":"2025-03-26","cited_by_count":0,"area":null},{"id":"2510.13322","title":"Injection, Attack and Erasure: Revocable Backdoor Attacks via Machine Unlearning","created":"2025-10-15","cited_by_count":0,"area":null}],"next_cursor":null}