{"total":171,"rows":[{"id":"2401.06121","title":"TOFU: A Task of Fictitious Unlearning for LLMs","created":"2024-01-11","cited_by_count":533,"area":"safety"},{"id":"2310.12508","title":"SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation","created":"2023-10-19","cited_by_count":386,"area":"diffusion"},{"id":"2209.02299","title":"A Survey of Machine Unlearning","created":"2022-09-06","cited_by_count":312,"area":"safety"},{"id":"2302.09880","title":"Towards Unbounded Machine Unlearning","created":"2023-02-20","cited_by_count":268,"area":"safety"},{"id":"2402.08787","title":"Rethinking Machine Unlearning for Large Language Models","created":"2024-02-13","cited_by_count":257,"area":"lr"},{"id":"2111.08947","title":"Fast Yet Effective Machine Unlearning","created":"2021-11-17","cited_by_count":217,"area":"safety"},{"id":"2304.04934","title":"Model Sparsity Can Simplify Machine Unlearning","created":"2023-04-11","cited_by_count":214,"area":"safety"},{"id":"2310.11868","title":"To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now","created":"2023-10-18","cited_by_count":210,"area":"diffusion"},{"id":"2205.08096","title":"Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks using an Incompetent Teacher","created":"2022-05-17","cited_by_count":194,"area":"safety"},{"id":"2203.07320","title":"The Right to be Forgotten in Federated Learning: An Efficient Realization with Rapid Retraining","created":"2022-03-14","cited_by_count":118,"area":"safety"},{"id":"2403.01038","title":"AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks","created":"2024-03-02","cited_by_count":96,"area":null},{"id":"2308.07061","title":"Machine Unlearning: Solutions and Challenges","created":"2023-08-14","cited_by_count":93,"area":"safety"},{"id":"2201.06640","title":"Towards Adversarial Evaluations for Inexact Machine Unlearning","created":"2022-01-17","cited_by_count":84,"area":"safety"},{"id":"2403.01218","title":"Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy","created":"2024-03-02","cited_by_count":82,"area":"safety"},{"id":"2305.06360","title":"Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy","created":"2023-05-10","cited_by_count":51,"area":"safety"},{"id":"2407.00106","title":"UnUnlearning: Unlearning is not sufficient for content regulation in advanced generative AI","created":"2024-06-27","cited_by_count":51,"area":"safety"},{"id":"2404.03233","title":"Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning","created":"2024-04-04","cited_by_count":48,"area":"safety"},{"id":"2409.19732","title":"Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement","created":"2024-09-29","cited_by_count":45,"area":"safety"},{"id":"2403.07362","title":"Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning","created":"2024-03-12","cited_by_count":44,"area":"safety"},{"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":"2209.12269","title":"Algorithms that Approximate Data Removal: New Results and Limitations","created":"2022-09-25","cited_by_count":40,"area":"safety"},{"id":"2311.15766","title":"Knowledge Unlearning for LLMs: Tasks, Methods, and Challenges","created":"2023-11-27","cited_by_count":38,"area":"safety"},{"id":"2405.07406","title":"Machine Unlearning: A Comprehensive Survey","created":"2024-05-13","cited_by_count":35,"area":"safety"},{"id":"2402.00751","title":"Fast Exact Unlearning for In-Context Learning Data for LLMs","created":"2024-02-01","cited_by_count":34,"area":"safety"},{"id":"2411.11315","title":"A Review on Machine Unlearning","created":"2024-11-18","cited_by_count":32,"area":"safety"},{"id":"2402.14015","title":"Corrective Machine Unlearning","created":"2024-02-21","cited_by_count":29,"area":"safety"},{"id":"2503.23751","title":"Decoupled Distillation to Erase: A General Unlearning Method for Any Class-centric Tasks","created":"2025-03-31","cited_by_count":28,"area":"safety"},{"id":"2406.16257","title":"Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning","created":"2024-06-24","cited_by_count":27,"area":"safety"},{"id":"2506.06985","title":"Certified Unlearning for Neural Networks","created":"2025-06-08","cited_by_count":27,"area":"safety"},{"id":"2410.17509","title":"WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models","created":"2024-10-23","cited_by_count":26,"area":"safety"},{"id":"2210.09126","title":"Verifiable and Provably Secure Machine Unlearning","created":"2022-10-17","cited_by_count":25,"area":"safety"},{"id":"2307.00682","title":"Tools for Verifying Neural Models' Training Data","created":"2023-07-02","cited_by_count":22,"area":null},{"id":"2408.00929","title":"Verification of Machine Unlearning is Fragile","created":"2024-08-01","cited_by_count":21,"area":"safety"},{"id":"2503.17514","title":"Language Models May Verbatim Complete Text They Were Not Explicitly Trained On","created":"2025-03-21","cited_by_count":21,"area":null},{"id":"2205.13532","title":"Selective Prediction via Training Dynamics","created":"2022-05-26","cited_by_count":20,"area":null},{"id":"2302.08990","title":"Efficiently Forgetting What You Have Learned in Graph Representation Learning via Projection","created":"2023-02-17","cited_by_count":20,"area":"safety"},{"id":"2311.12047","title":"MultiDelete for Multimodal Machine Unlearning","created":"2023-11-18","cited_by_count":20,"area":"safety"},{"id":"2403.07353","title":"Graph Unlearning with Efficient Partial Retraining","created":"2024-03-12","cited_by_count":20,"area":"safety"},{"id":"2306.03558","title":"Machine Unlearning: A Survey","created":"2023-06-06","cited_by_count":19,"area":"safety"},{"id":"2410.23232","title":"Attribute-to-Delete: Machine Unlearning via Datamodel Matching","created":"2024-10-30","cited_by_count":18,"area":"safety"},{"id":"2312.15910","title":"Reinforcement Unlearning","created":"2023-12-26","cited_by_count":17,"area":"safety"},{"id":"2406.14796","title":"MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning","created":"2024-06-21","cited_by_count":17,"area":"safety"},{"id":"2411.15537","title":"MUNBa: Machine Unlearning via Nash Bargaining","created":"2024-11-23","cited_by_count":17,"area":"safety"},{"id":"2510.19422","title":"LLM Unlearning with LLM Beliefs","created":"2025-10-22","cited_by_count":17,"area":"safety"},{"id":"2111.12056","title":"Forget-SVGD: Particle-Based Bayesian Federated Unlearning","created":"2021-11-23","cited_by_count":16,"area":"safety"},{"id":"2406.07687","title":"Adversarial Machine Unlearning","created":"2024-06-11","cited_by_count":16,"area":"safety"},{"id":"2210.11334","title":"Proof of Unlearning: Definitions and Instantiation","created":"2022-10-20","cited_by_count":15,"area":"safety"},{"id":"2401.10458","title":"Contrastive Unlearning: A Contrastive Approach to Machine Unlearning","created":"2024-01-19","cited_by_count":15,"area":"safety"},{"id":"2209.00939","title":"An Introduction to Machine Unlearning","created":"2022-09-02","cited_by_count":13,"area":"safety"},{"id":"2208.03567","title":"Proof-of-Learning is Currently More Broken Than You Think","created":"2022-08-06","cited_by_count":12,"area":null},{"id":"2302.06676","title":"Netflix and Forget: Efficient and Exact Machine Unlearning from Bi-linear Recommendations","created":"2023-02-13","cited_by_count":12,"area":"safety"},{"id":"2310.02164","title":"A Survey of Graph Unlearning","created":"2023-08-23","cited_by_count":12,"area":"safety"},{"id":"2406.08288","title":"Decoupling the Class Label and the Target Concept in Machine Unlearning","created":"2024-06-12","cited_by_count":12,"area":"safety"},{"id":"2509.26427","title":"Ascent Fails to Forget","created":"2025-09-30","cited_by_count":12,"area":"safety"},{"id":"2307.00310","title":"Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGD","created":"2023-07-01","cited_by_count":11,"area":null},{"id":"2405.15495","title":"Towards Natural Machine Unlearning","created":"2024-05-24","cited_by_count":11,"area":"safety"},{"id":"2405.17462","title":"Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity","created":"2024-05-23","cited_by_count":11,"area":"safety"},{"id":"2506.06112","title":"Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness","created":"2025-06-06","cited_by_count":11,"area":"safety"},{"id":"2506.06278","title":"Distillation Robustifies Unlearning","created":"2025-06-06","cited_by_count":11,"area":"safety"},{"id":"2210.07876","title":"Control, Confidentiality, and the Right to be Forgotten","created":"2022-10-14","cited_by_count":10,"area":"safety"},{"id":"2407.06235","title":"Auditing of AI: Legal, Ethical and Technical Approaches","created":"2024-07-07","cited_by_count":10,"area":null},{"id":"2502.15680","title":"Privacy Ripple Effects from Adding or Removing Personal Information in Language Model Training","created":"2025-02-21","cited_by_count":10,"area":null},{"id":"2210.00108","title":"ImpNet: Imperceptible and blackbox-undetectable backdoors in compiled neural networks","created":"2022-09-30","cited_by_count":9,"area":null},{"id":"2410.10128","title":"Edge Unlearning is Not \"on Edge\"! An Adaptive Exact Unlearning System on Resource-Constrained Devices","created":"2024-10-14","cited_by_count":9,"area":"safety"},{"id":"2412.08559","title":"Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning","created":"2024-12-11","cited_by_count":9,"area":"safety"},{"id":"2501.16663","title":"Data Duplication: A Novel Multi-Purpose Attack Paradigm in Machine Unlearning","created":"2025-01-28","cited_by_count":9,"area":"safety"},{"id":"2504.02199","title":"ESC: Erasing Space Concept for Knowledge Deletion","created":"2025-04-03","cited_by_count":9,"area":null},{"id":"2506.13009","title":"Rectifying Privacy and Efficacy Measurements in Machine Unlearning: A New Inference Attack Perspective","created":"2025-06-16","cited_by_count":9,"area":"safety"},{"id":"2506.00688","title":"Existing Large Language Model Unlearning Evaluations Are Inconclusive","created":"2025-05-31","cited_by_count":8,"area":"safety"},{"id":"2506.15115","title":"Towards Reliable Forgetting: A Survey on Machine Unlearning Verification","created":"2025-06-18","cited_by_count":8,"area":"safety"},{"id":"2510.08132","title":"Approximate Domain Unlearning for Vision-Language Models","created":"2025-10-09","cited_by_count":8,"area":"mllm"},{"id":"2311.10448","title":"DeepClean: Machine Unlearning on the Cheap by Resetting Privacy Sensitive Weights using the Fisher Diagonal","created":"2023-11-17","cited_by_count":7,"area":"safety"},{"id":"2403.09603","title":"Optimistic Verifiable Training by Controlling Hardware Nondeterminism","created":"2024-03-14","cited_by_count":7,"area":"safety"},{"id":"2411.02068","title":"Model Integrity when Unlearning with T2I Diffusion Models","created":"2024-11-04","cited_by_count":7,"area":"diffusion"},{"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":"2502.12430","title":"Position: Bridge the Gaps between Machine Unlearning and AI Regulation","created":"2025-02-18","cited_by_count":7,"area":"safety"},{"id":"2403.12830","title":"Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Approximate Unlearning Completeness","created":"2024-03-19","cited_by_count":6,"area":"safety"},{"id":"2408.14393","title":"CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence","created":"2024-08-26","cited_by_count":6,"area":"safety"},{"id":"2411.17461","title":"SoK: Blockchain-Based Decentralized AI (DeAI)","created":"2024-11-26","cited_by_count":6,"area":null},{"id":"2412.11476","title":"Vertical Federated Unlearning via Backdoor Certification","created":"2024-12-16","cited_by_count":6,"area":null},{"id":"2412.16780","title":"Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification","created":"2024-12-21","cited_by_count":6,"area":"safety"},{"id":"2502.19770","title":"TAPE: Tailored Posterior Difference for Auditing of Machine Unlearning","created":"2025-02-27","cited_by_count":6,"area":"safety"},{"id":"2503.12545","title":"PEBench: A Fictitious Dataset to Benchmark Machine Unlearning for Multimodal Large Language Models","created":"2025-03-16","cited_by_count":6,"area":"mllm"},{"id":"2305.15242","title":"Machine Unlearning: its nature, scope, and importance for a \"delete culture\"","created":"2023-05-24","cited_by_count":5,"area":"safety"},{"id":"2406.10953","title":"Really Unlearned? Verifying Machine Unlearning via Influential Sample Pairs","created":"2024-06-16","cited_by_count":5,"area":"safety"},{"id":"2406.16810","title":"How Data Inter-connectivity Shapes LLMs Unlearning: A Structural Unlearning Perspective","created":"2024-06-24","cited_by_count":5,"area":"safety"},{"id":"2503.23536","title":"A Survey on Unlearnable Data","created":"2025-03-30","cited_by_count":5,"area":null},{"id":"2505.14832","title":"SEPS: A Separability Measure for Robust Unlearning in LLMs","created":"2025-05-20","cited_by_count":5,"area":"safety"},{"id":"2605.00733","title":"EASE: Federated Multimodal Unlearning via Entanglement-Aware Anchor Closure","created":"2026-05-01","cited_by_count":5,"area":"safety"},{"id":"2209.15276","title":"Machine Unlearning Method Based On Projection Residual","created":"2022-09-30","cited_by_count":4,"area":"safety"},{"id":"2303.03648","title":"Can Membership Inferencing be Refuted?","created":"2023-03-07","cited_by_count":4,"area":"safety"},{"id":"2310.08320","title":"Defending Our Privacy With Backdoors","created":"2023-10-12","cited_by_count":4,"area":null},{"id":"2408.06063","title":"TruVRF: Towards Triple-Granularity Verification on Machine Unlearning","created":"2024-08-12","cited_by_count":4,"area":"safety"},{"id":"2411.12600","title":"Provable unlearning in topic modeling and downstream tasks","created":"2024-11-19","cited_by_count":4,"area":"safety"},{"id":"2412.07229","title":"Moderating the Generalization of Score-based Generative Model","created":"2024-12-10","cited_by_count":4,"area":"diffusion"},{"id":"2503.22413","title":"Instance-Level Data-Use Auditing of Visual ML Models","created":"2025-03-28","cited_by_count":4,"area":"safety"},{"id":"2506.00808","title":"Unlearning Inversion Attacks for Graph Neural Networks","created":"2025-06-01","cited_by_count":4,"area":null},{"id":"2512.20794","title":"Investigating Model Editing for Unlearning in Large Language Models","created":"2025-12-23","cited_by_count":4,"area":"safety"},{"id":"2602.10568","title":"Gauss-Newton Unlearning for the LLM Era","created":"2026-02-11","cited_by_count":4,"area":"safety"},{"id":"2604.08271","title":"An Illusion of Unlearning? Assessing Machine Unlearning Through Internal Representations","created":"2026-04-09","cited_by_count":4,"area":"safety"}],"next_cursor":"100"}