{"total":177,"rows":[{"id":"2209.02299","title":"A Survey of Machine Unlearning","created":"2022-09-06","cited_by_count":312,"area":"safety"},{"id":"2310.10683","title":"Large Language Model Unlearning","created":"2023-10-14","cited_by_count":302,"area":"safety"},{"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":"2308.07707","title":"Fast Machine Unlearning Without Retraining Through Selective Synaptic Dampening","created":"2023-08-15","cited_by_count":181,"area":"safety"},{"id":"2408.00761","title":"Tamper-Resistant Safeguards for Open-Weight LLMs","created":"2024-08-01","cited_by_count":138,"area":"safety"},{"id":"2303.11570","title":"Boundary Unlearning","created":"2023-03-21","cited_by_count":134,"area":"safety"},{"id":"2201.05629","title":"Zero-Shot Machine Unlearning","created":"2022-01-14","cited_by_count":133,"area":"safety"},{"id":"2402.15159","title":"Machine Unlearning of Pre-trained Large Language Models","created":"2024-02-23","cited_by_count":119,"area":"safety"},{"id":"2403.03329","title":"Guardrail Baselines for Unlearning in LLMs","created":"2024-03-05","cited_by_count":96,"area":"safety"},{"id":"2405.14577","title":"Representation Noising: A Defence Mechanism Against Harmful Finetuning","created":"2024-05-23","cited_by_count":96,"area":"safety"},{"id":"2308.07061","title":"Machine Unlearning: Solutions and Challenges","created":"2023-08-14","cited_by_count":93,"area":"safety"},{"id":"2406.13356","title":"Unlearning or Obfuscating? Jogging the Memory of Unlearned LLMs via Benign Relearning","created":"2024-06-19","cited_by_count":84,"area":"safety"},{"id":"2410.08827","title":"Do Unlearning Methods Remove Information from Language Model Weights?","created":"2024-10-11","cited_by_count":73,"area":"safety"},{"id":"2301.11578","title":"Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers","created":"2023-01-27","cited_by_count":67,"area":"safety"},{"id":"2401.06187","title":"Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks","created":"2024-01-11","cited_by_count":52,"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":"2402.00351","title":"Machine Unlearning for Image-to-Image Generative Models","created":"2024-02-01","cited_by_count":47,"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":"2403.01267","title":"Dissecting Language Models: Machine Unlearning via Selective Pruning","created":"2024-03-02","cited_by_count":42,"area":"safety"},{"id":"2410.18057","title":"CLEAR: Character Unlearning in Textual and Visual Modalities","created":"2024-10-23","cited_by_count":39,"area":"safety"},{"id":"2405.07406","title":"Machine Unlearning: A Comprehensive Survey","created":"2024-05-13","cited_by_count":35,"area":"safety"},{"id":"2309.08230","title":"A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services","created":"2023-09-15","cited_by_count":34,"area":"safety"},{"id":"2210.08196","title":"Deep Regression Unlearning","created":"2022-10-15","cited_by_count":32,"area":"safety"},{"id":"2408.00920","title":"Towards Certified Unlearning for Deep Neural Networks","created":"2024-08-01","cited_by_count":31,"area":"safety"},{"id":"2312.10336","title":"Certified Minimax Unlearning with Generalization Rates and Deletion Capacity","created":"2023-12-16","cited_by_count":29,"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":"2312.00761","title":"Deep Unlearning: Fast and Efficient Gradient-free Approach to Class Forgetting","created":"2023-12-01","cited_by_count":22,"area":"safety"},{"id":"2406.09408","title":"Data Attribution for Text-to-Image Models by Unlearning Synthesized Images","created":"2024-06-13","cited_by_count":22,"area":"safety"},{"id":"2311.12047","title":"MultiDelete for Multimodal Machine Unlearning","created":"2023-11-18","cited_by_count":20,"area":"safety"},{"id":"2205.15567","title":"Few-Shot Unlearning by Model Inversion","created":"2022-05-31","cited_by_count":19,"area":"safety"},{"id":"2306.03558","title":"Machine Unlearning: A Survey","created":"2023-06-06","cited_by_count":19,"area":"safety"},{"id":"2405.09879","title":"Generative Unlearning for Any Identity","created":"2024-05-16","cited_by_count":19,"area":"safety"},{"id":"2407.10494","title":"Learning to Unlearn for Robust Machine Unlearning","created":"2024-07-15","cited_by_count":19,"area":"safety"},{"id":"2404.00506","title":"Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models","created":"2024-03-31","cited_by_count":18,"area":"safety"},{"id":"2404.12922","title":"Is Retain Set All You Need in Machine Unlearning? Restoring Performance of Unlearned Models with Out-Of-Distribution Images","created":"2024-04-19","cited_by_count":18,"area":"safety"},{"id":"2503.06991","title":"Are We Truly Forgetting? A Critical Re-examination of Machine Unlearning Evaluation Protocols","created":"2025-03-10","cited_by_count":18,"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":"2407.07485","title":"Zero-Shot Class Unlearning in CLIP with Synthetic Samples","created":"2024-07-10","cited_by_count":17,"area":"safety"},{"id":"2410.09591","title":"Unlearn and Burn: Adversarial Machine Unlearning Requests Destroy Model Accuracy","created":"2024-10-12","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":"2303.05699","title":"Feature Unlearning for Pre-trained GANs and VAEs","created":"2023-03-10","cited_by_count":16,"area":"safety"},{"id":"2402.01401","title":"An Information Theoretic Approach to Machine Unlearning","created":"2024-02-02","cited_by_count":16,"area":"safety"},{"id":"2502.20709","title":"Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter","created":"2025-02-28","cited_by_count":16,"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":"2406.06186","title":"A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks","created":"2024-06-10","cited_by_count":15,"area":"safety"},{"id":"2503.05657","title":"NoT: Federated Unlearning via Weight Negation","created":"2025-03-07","cited_by_count":15,"area":"safety"},{"id":"2506.15699","title":"BLUR: A Benchmark for LLM Unlearning Robust to Forget-Retain Overlap","created":"2025-05-28","cited_by_count":15,"area":"safety"},{"id":"2504.04626","title":"Exact Unlearning of Finetuning Data via Model Merging at Scale","created":"2025-04-06","cited_by_count":14,"area":"safety"},{"id":"2309.16173","title":"Distill to Delete: Unlearning in Graph Networks with Knowledge Distillation","created":"2023-09-28","cited_by_count":13,"area":"safety"},{"id":"2312.02052","title":"DUCK: Distance-based Unlearning via Centroid Kinematics","created":"2023-12-04","cited_by_count":13,"area":"safety"},{"id":"2402.15109","title":"Remaining-data-free Machine Unlearning by Suppressing Sample Contribution","created":"2024-02-23","cited_by_count":13,"area":"safety"},{"id":"2503.18314","title":"LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty","created":"2025-03-24","cited_by_count":13,"area":"safety"},{"id":"2408.00376","title":"On the Limitations and Prospects of Machine Unlearning for Generative AI","created":"2024-08-01","cited_by_count":12,"area":"safety"},{"id":"2503.13769","title":"Continual Unlearning for Foundational Text-to-Image Models without Generalization Erosion","created":"2025-03-17","cited_by_count":12,"area":"safety"},{"id":"2308.09881","title":"Generative Adversarial Networks Unlearning","created":"2023-08-19","cited_by_count":11,"area":"safety"},{"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":"2405.17878","title":"An Information Theoretic Evaluation Metric For Strong Unlearning","created":"2024-05-28","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":"2311.15268","title":"Unlearning via Sparse Representations","created":"2023-11-26","cited_by_count":10,"area":"safety"},{"id":"2402.10098","title":"Parameter-tuning-free data entry error unlearning with adaptive selective synaptic dampening","created":"2024-02-06","cited_by_count":10,"area":"safety"},{"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":"2501.02728","title":"OpenGU: A Comprehensive Benchmark for Graph Unlearning","created":"2025-01-06","cited_by_count":8,"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":"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":"2401.17504","title":"CaMU: Disentangling Causal Effects in Deep Model Unlearning","created":"2024-01-30","cited_by_count":7,"area":"safety"},{"id":"2402.01276","title":"Federated Unlearning: a Perspective of Stability and Fairness","created":"2024-02-02","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":"2409.19526","title":"Efficient Backdoor Defense in Multimodal Contrastive Learning: A Token-Level Unlearning Method for Mitigating Threats","created":"2024-09-29","cited_by_count":6,"area":"safety"},{"id":"2504.15827","title":"DualOptim: Enhancing Efficacy and Stability in Machine Unlearning with Dual Optimizers","created":"2025-04-22","cited_by_count":6,"area":"safety"},{"id":"2505.07640","title":"Certified Data Removal Under High-dimensional Settings","created":"2025-05-12","cited_by_count":6,"area":"safety"},{"id":"2505.15178","title":"A Unified Gradient-based Framework for Task-agnostic Continual Learning-Unlearning","created":"2025-05-21","cited_by_count":6,"area":"safety"},{"id":"2506.03117","title":"Targeted Forgetting of Image Subgroups in CLIP Models","created":"2025-06-03","cited_by_count":6,"area":"safety"},{"id":"2508.15127","title":"Towards Source-Free Machine Unlearning","created":"2025-08-20","cited_by_count":6,"area":"safety"},{"id":"2510.13094","title":"Gaussian Certified Unlearning in High Dimensions: A Hypothesis Testing Approach","created":"2025-10-15","cited_by_count":6,"area":"safety"},{"id":"2511.19339","title":"POUR: A Provably Optimal Method for Unlearning Representations via Neural Collapse","created":"2025-11-24","cited_by_count":6,"area":"safety"},{"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":"2401.08998","title":"Attack and Reset for Unlearning: Exploiting Adversarial Noise toward Machine Unlearning through Parameter Re-initialization","created":"2024-01-17","cited_by_count":5,"area":"safety"},{"id":"2406.12516","title":"Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation","created":"2024-06-18","cited_by_count":5,"area":"safety"},{"id":"2406.14507","title":"On Newton's Method to Unlearn Neural Networks","created":"2024-06-20","cited_by_count":5,"area":"safety"},{"id":"2410.10922","title":"Towards Privacy-Guaranteed Label Unlearning in Vertical Federated Learning: Few-Shot Forgetting without Disclosure","created":"2024-10-14","cited_by_count":5,"area":"safety"},{"id":"2505.15700","title":"\"Alexa, can you forget me?\" Machine Unlearning Benchmark in Spoken Language Understanding","created":"2025-05-21","cited_by_count":5,"area":"safety"},{"id":"2507.15112","title":"Distributional Machine Unlearning via Selective Data Removal","created":"2025-07-20","cited_by_count":5,"area":"safety"},{"id":"2510.22124","title":"Efficient Utility-Preserving Machine Unlearning with Implicit Gradient Surgery","created":"2025-10-25","cited_by_count":5,"area":"safety"},{"id":"2304.02049","title":"Multi-Class Unlearning for Image Classification via Weight Filtering","created":"2023-04-04","cited_by_count":4,"area":"safety"},{"id":"2308.10422","title":"Split Unlearning","created":"2023-08-21","cited_by_count":4,"area":"safety"},{"id":"2404.19031","title":"Machine Unlearning for Document Classification","created":"2024-04-29","cited_by_count":4,"area":"safety"},{"id":"2407.12069","title":"Unlearning Personal Data from a Single Image","created":"2024-07-16","cited_by_count":4,"area":"safety"},{"id":"2410.23693","title":"Zero-shot Class Unlearning via Layer-wise Relevance Analysis and Neuronal Path Perturbation","created":"2024-10-31","cited_by_count":4,"area":"safety"},{"id":"2505.10859","title":"Exploring Nonlinear Pathway in Parameter Space for Machine Unlearning","created":"2025-05-16","cited_by_count":4,"area":"safety"},{"id":"2506.17125","title":"Large Language Model Unlearning for Source Code","created":"2025-06-20","cited_by_count":4,"area":"safety"},{"id":"2602.18505","title":"Suppression or Deletion: A Restoration-Based Representation-Level Analysis of Machine Unlearning","created":"2026-02-18","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"},{"id":"2402.16294","title":"BlockFUL: Enabling Unlearning in Blockchained Federated Learning","created":"2024-02-26","cited_by_count":3,"area":"safety"},{"id":"2403.16246","title":"Partially Blinded Unlearning: Class Unlearning for Deep Networks a Bayesian Perspective","created":"2024-03-24","cited_by_count":3,"area":"safety"},{"id":"2406.07885","title":"GENIU: A Restricted Data Access Unlearning for Imbalanced Data","created":"2024-06-12","cited_by_count":3,"area":"safety"},{"id":"2410.10120","title":"Evaluating of Machine Unlearning: Robustness Verification Without Prior Modifications","created":"2024-10-14","cited_by_count":3,"area":"safety"},{"id":"2411.08443","title":"Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA","created":"2024-11-13","cited_by_count":3,"area":"safety"}],"next_cursor":"100"}