{"total":90,"rows":[{"id":"2401.06121","title":"TOFU: A Task of Fictitious Unlearning for LLMs","created":"2024-01-11","cited_by_count":533,"area":"safety"},{"id":"2209.02299","title":"A Survey of Machine Unlearning","created":"2022-09-06","cited_by_count":312,"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":"2410.16454","title":"Catastrophic Failure of LLM Unlearning via Quantization","created":"2024-10-21","cited_by_count":81,"area":"safety"},{"id":"2502.05374","title":"Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond","created":"2025-02-07","cited_by_count":79,"area":"safety"},{"id":"2410.11143","title":"LLM Unlearning via Loss Adjustment with Only Forget Data","created":"2024-10-14","cited_by_count":75,"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":"2502.07218","title":"LLM Unlearning via Neural Activation Redirection","created":"2025-02-11","cited_by_count":41,"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":"2404.11045","title":"Offset Unlearning for Large Language Models","created":"2024-04-17","cited_by_count":36,"area":"safety"},{"id":"2503.01854","title":"A Comprehensive Survey of Machine Unlearning Techniques for Large Language Models","created":"2025-02-22","cited_by_count":34,"area":"safety"},{"id":"2410.22086","title":"Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate","created":"2024-10-29","cited_by_count":31,"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":"2506.08164","title":"BLUR: A Bi-Level Optimization Approach for LLM Unlearning","created":"2025-06-09","cited_by_count":23,"area":"safety"},{"id":"2311.12047","title":"MultiDelete for Multimodal Machine Unlearning","created":"2023-11-18","cited_by_count":20,"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":"2410.09591","title":"Unlearn and Burn: Adversarial Machine Unlearning Requests Destroy Model Accuracy","created":"2024-10-12","cited_by_count":17,"area":"safety"},{"id":"2505.13312","title":"GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection","created":"2025-05-19","cited_by_count":17,"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":"2307.04550","title":"Gradient Surgery for One-shot Unlearning on Generative Model","created":"2023-07-10","cited_by_count":12,"area":"safety"},{"id":"2506.09227","title":"SoK: Machine Unlearning for Large Language Models","created":"2025-06-10","cited_by_count":11,"area":"safety"},{"id":"2506.00359","title":"Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy","created":"2025-05-31","cited_by_count":9,"area":"safety"},{"id":"2506.12097","title":"UCD: Unlearning in LLMs via Contrastive Decoding","created":"2025-06-12","cited_by_count":9,"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":"2511.04934","title":"Leak@$k$: Unlearning Does Not Make LLMs Forget Under Probabilistic Decoding","created":"2025-11-07","cited_by_count":9,"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":"2505.23270","title":"Does Machine Unlearning Truly Remove Knowledge?","created":"2025-05-29","cited_by_count":7,"area":"safety"},{"id":"2506.00848","title":"Speech Unlearning","created":"2025-06-01","cited_by_count":7,"area":"safety"},{"id":"2509.20977","title":"CLUE: Conflict-guided Localization for LLM Unlearning Framework","created":"2025-09-25","cited_by_count":7,"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":"2506.03142","title":"Not All Tokens Are Meant to Be Forgotten","created":"2025-06-03","cited_by_count":6,"area":"safety"},{"id":"2508.21300","title":"Improving Fisher Information Estimation and Efficiency for LoRA-based LLM Unlearning","created":"2025-08-29","cited_by_count":6,"area":"safety"},{"id":"2510.16629","title":"On the Impossibility of Retrain Equivalence in Machine Unlearning","created":"2025-10-18","cited_by_count":6,"area":"safety"},{"id":"2601.05641","title":"Multilingual Amnesia: On the Transferability of Unlearning in Multilingual LLMs","created":"2026-01-09","cited_by_count":6,"area":"safety"},{"id":"2601.13578","title":"FG-OrIU: Towards Better Forgetting via Feature-Gradient Orthogonality for Incremental Unlearning","created":"2026-01-20","cited_by_count":6,"area":"safety"},{"id":"2602.06441","title":"Is Gradient Ascent Really Necessary? Memorize to Forget for Machine Unlearning","created":"2026-02-06","cited_by_count":6,"area":"safety"},{"id":"2502.15010","title":"Obliviate: Efficient Unmemorization for Protecting Intellectual Property in Large Language Models","created":"2025-02-20","cited_by_count":5,"area":"safety"},{"id":"2505.15674","title":"UniErase: Towards Balanced and Precise Unlearning in Language Models","created":"2025-05-21","cited_by_count":5,"area":"safety"},{"id":"2510.12981","title":"Reference-Specific Unlearning Metrics Can Hide the Truth: A Reality Check","created":"2025-10-14","cited_by_count":5,"area":"safety"},{"id":"2503.14900","title":"Deep Contrastive Unlearning for Language Models","created":"2025-03-19","cited_by_count":4,"area":"safety"},{"id":"2509.24675","title":"Understanding the Dilemma of Unlearning for Large Language Models","created":"2025-09-29","cited_by_count":4,"area":"safety"},{"id":"2510.00761","title":"Downgrade to Upgrade: Optimizer Simplification Enhances Robustness in LLM Unlearning","created":"2025-10-01","cited_by_count":4,"area":"safety"},{"id":"2601.20568","title":"Reinforcement Unlearning via Group Relative Policy Optimization","created":"2026-01-28","cited_by_count":4,"area":"safety"},{"id":"2602.06248","title":"REBEL: Hidden Knowledge Recovery via Evolutionary-Based Evaluation Loop","created":"2026-02-05","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":"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":"2505.12239","title":"Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning","created":"2025-05-18","cited_by_count":3,"area":"safety"},{"id":"2508.17233","title":"Module-Aware Parameter-Efficient Machine Unlearning on Transformers","created":"2025-08-24","cited_by_count":3,"area":"safety"},{"id":"2510.22376","title":"Label Smoothing Improves Gradient Ascent in LLM Unlearning","created":"2025-10-25","cited_by_count":3,"area":"safety"},{"id":"2605.05909","title":"Null Space Constrained Contrastive Visual Forgetting for MLLM Unlearning","created":"2026-05-07","cited_by_count":3,"area":"safety"},{"id":"2401.04385","title":"Machine unlearning through fine-grained model parameters perturbation","created":"2024-01-09","cited_by_count":2,"area":"safety"},{"id":"2506.10946","title":"GUARD: Guided Unlearning and Retention via Data Attribution for Large Language Models","created":"2025-06-12","cited_by_count":2,"area":"safety"},{"id":"2507.03281","title":"NOVO: Unlearning-Compliant Vision Transformers","created":"2025-07-04","cited_by_count":2,"area":"safety"},{"id":"2509.23362","title":"Dual-Space Smoothness for Robust and Balanced LLM Unlearning","created":"2025-09-27","cited_by_count":2,"area":"safety"},{"id":"2509.25973","title":"Scalable and Robust LLM Unlearning by Correcting Responses with Retrieved Exclusions","created":"2025-09-30","cited_by_count":2,"area":"safety"},{"id":"2601.22030","title":"Per-parameter Task Arithmetic for Unlearning in Large Language Models","created":"2026-01-29","cited_by_count":2,"area":"safety"},{"id":"2603.01792","title":"ALTER: Asymmetric LoRA for Token-Entropy-Guided Unlearning of LLMs","created":"2026-03-02","cited_by_count":2,"area":"safety"},{"id":"2604.12686","title":"BID-LoRA: A Parameter-Efficient Framework for Continual Learning and Unlearning","created":"2026-04-14","cited_by_count":2,"area":"safety"},{"id":"2604.16591","title":"Randomized Antipodal Search Done Right for Data Pareto Improvement of LLM Unlearning","created":"2026-04-17","cited_by_count":2,"area":"safety"},{"id":"2605.01129","title":"Revisiting Privacy Leakage in Machine Unlearning: Membership Inference Beyond the Forgotten Set","created":"2026-05-01","cited_by_count":2,"area":"safety"},{"id":"2605.12765","title":"Inference-Time Machine Unlearning via Gated Activation Redirection","created":"2026-05-12","cited_by_count":2,"area":"safety"},{"id":"2607.02513","title":"LACUNA: A Testbed for Evaluating Localization Precision for LLM Unlearning","created":"2026-07-02","cited_by_count":2,"area":"safety"},{"id":"2502.05739","title":"Mitigating Sensitive Information Leakage in LLMs4Code through Machine Unlearning","created":"2025-02-09","cited_by_count":1,"area":"safety"},{"id":"2505.09500","title":"Layered Unlearning for Adversarial Relearning","created":"2025-05-14","cited_by_count":1,"area":"safety"},{"id":"2505.10941","title":"Privacy-Aware Lifelong Learning","created":"2025-05-16","cited_by_count":1,"area":"safety"},{"id":"2506.15076","title":"Learning-Time Encoding Shapes Unlearning in LLMs","created":"2025-06-18","cited_by_count":1,"area":"safety"},{"id":"2511.11914","title":"Forgetting-MarI: LLM Unlearning via Marginal Information Regularization","created":"2025-11-14","cited_by_count":1,"area":"safety"},{"id":"2512.04144","title":"RippleBench: Capturing Ripple Effects Using Existing Knowledge Repositories","created":"2025-12-03","cited_by_count":1,"area":"safety"},{"id":"2512.11325","title":"Robust MLLM Unlearning via Visual Knowledge Distillation","created":"2025-12-12","cited_by_count":1,"area":"safety"},{"id":"2601.21702","title":"Beyond Forgetting: Representation Misdirection Elicits Controllable Side Behaviors and Capabilities","created":"2026-01-29","cited_by_count":1,"area":"safety"},{"id":"2605.15138","title":"Forgetting That Sticks: Quantization-Permanent Unlearning via Circuit Attribution","created":"2026-05-14","cited_by_count":1,"area":"safety"},{"id":"2608.05783","title":"GROM: Gradient-Free Rapid One-Shot Machine Unlearning","created":"2026-08-06","cited_by_count":1,"area":"safety"},{"id":"2609.27355","title":"Quantization-Robust Unlearning through the Lens of Retain-Forget Loss Landscapes Interaction","created":"2026-09-23","cited_by_count":1,"area":"safety"},{"id":"2506.11253","title":"Lifting Data-Tracing Machine Unlearning to Knowledge-Tracing for Foundation Models","created":"2025-06-12","cited_by_count":0,"area":"safety"},{"id":"2507.15280","title":"Machine Unlearning for Streaming Forgetting","created":"2025-07-21","cited_by_count":0,"area":"safety"},{"id":"2510.07822","title":"SIMU: Selective Influence Machine Unlearning","created":"2025-10-09","cited_by_count":0,"area":"safety"},{"id":"2601.04275","title":"Shadow Unlearning: A Neuro-Semantic Approach to Fidelity-Preserving Faceless Forgetting in LLMs","created":"2026-01-07","cited_by_count":0,"area":"safety"},{"id":"2601.08840","title":"Consistency-Aware Editing for Entity-level Unlearning in Language Models","created":"2025-12-19","cited_by_count":0,"area":"safety"},{"id":"2602.02139","title":"EvoMU: Evolutionary Machine Unlearning","created":"2026-02-02","cited_by_count":0,"area":"safety"},{"id":"2602.23798","title":"MPU: Towards Secure and Privacy-Preserving Knowledge Unlearning for Large Language Models","created":"2026-02-27","cited_by_count":0,"area":"safety"},{"id":"2604.13438","title":"WIN-U: Woodbury-Informed Newton-Unlearning as a retain-free Machine Unlearning Framework","created":"2026-04-15","cited_by_count":0,"area":"safety"},{"id":"2604.14644","title":"CURaTE: Continual Unlearning in Real Time with Ensured Preservation of LLM Knowledge","created":"2026-04-16","cited_by_count":0,"area":"safety"},{"id":"2604.27804","title":"Machine Unlearning for Class Removal through SISA-based Deep Neural Network Architectures","created":"2026-04-30","cited_by_count":0,"area":"safety"},{"id":"2605.20915","title":"Calibration vs Decision Making: Revisiting the Reliability Paradox in Unlearned Language Models","created":"2026-05-20","cited_by_count":0,"area":"safety"},{"id":"2605.30514","title":"MAAT: Multi-phase Adapter-Aware Targeted Unlearning","created":"2026-05-28","cited_by_count":0,"area":"safety"},{"id":"2606.29832","title":"The Forgetting-Retention Dilemma: Certified Unlearning Theory in Continual Learning","created":"2026-06-29","cited_by_count":0,"area":"safety"},{"id":"2608.29943","title":"On the Recoverability of Private Information Unlearning in Large Language Models","created":"2026-08-30","cited_by_count":0,"area":"safety"},{"id":"2609.34475","title":"Causal Routing for Unlearning","created":"2026-09-28","cited_by_count":0,"area":"safety"},{"id":"2609.36612","title":"Do LLMs Really Forget? Hidden-State Leakage in Model Unlearning and How to Fix it","created":"2026-09-29","cited_by_count":0,"area":"safety"},{"id":"2610.02418","title":"Mitigating Private Data Leakage in LLMs with Whiteout","created":"2026-10-01","cited_by_count":0,"area":"safety"}],"next_cursor":null}