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Machine Unlearning

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Showing 1–50 of 438 papers

TitleStatusHype
What Should LLMs Forget? Quantifying Personal Data in LLMs for Right-to-Be-Forgotten Requests—0
Model State Arithmetic for Machine UnlearningCode0
On the Necessity of Output Distribution Reweighting for Effective Class Unlearning—0
Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy—0
Orthogonal Soft Pruning for Efficient Class Unlearning—0
Verifiable Unlearning on Edge—0
Sharpness-Aware Machine Unlearning—0
Unlearning Isn't Invisible: Detecting Unlearning Traces in LLMs from Model OutputsCode1
Rectifying Privacy and Efficacy Measurements in Machine Unlearning: A New Inference Attack PerspectiveCode1
Membership Inference Attacks as Privacy Tools: Reliability, Disparity and EnsembleCode1
UCD: Unlearning in LLMs via Contrastive Decoding—0
Apollo: A Posteriori Label-Only Membership Inference Attack Towards Machine UnlearningCode0
Prompt Attacks Reveal Superficial Knowledge Removal in Unlearning Methods—0
SoK: Machine Unlearning for Large Language Models—0
Certified Unlearning for Neural NetworksCode1
Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning CompletenessCode0
Quantifying Cross-Modality Memorization in Vision-Language Models—0
Rethinking Machine Unlearning in Image Generation ModelsCode1
Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-TuningCode0
Towards Machine Unlearning for Paralinguistic Speech Processing—0
SALAD: Systematic Assessment of Machine Unlearing on LLM-Aided Hardware Design—0
Speech Unlearning—0
Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of RaceCode0
Does Machine Unlearning Truly Remove Model Knowledge? A Framework for Auditing Unlearning in LLMs—0
Targeted Unlearning Using Perturbed Sign Gradient Methods With Applications On Medical Images—0
Leveraging Per-Instance Privacy for Machine Unlearning—0
Soft Weighted Machine Unlearning—0
Losing is for Cherishing: Data Valuation Based on Machine Unlearning and Shapley Value—0
Unlearning Isn't Deletion: Investigating Reversibility of Machine Unlearning in LLMsCode1
DUSK: Do Not Unlearn Shared KnowledgeCode0
A Unified Gradient-based Framework for Task-agnostic Continual Learning-Unlearning—0
"Alexa, can you forget me?" Machine Unlearning Benchmark in Spoken Language UnderstandingCode1
UniErase: Unlearning Token as a Universal Erasure Primitive for Language ModelsCode0
SEPS: A Separability Measure for Robust Unlearning in LLMs—0
Few-Shot Concept Unlearning with Low Rank Adaptation—0
Privacy-Aware Lifelong LearningCode0
TAIJI: MCP-based Multi-Modal Data Analytics on Data Lakes—0
MCU: Improving Machine Unlearning through Mode Connectivity—0
Ready2Unlearn: A Learning-Time Approach for Preparing Models with Future Unlearning Readiness—0
Layered Unlearning for Adversarial RelearningCode0
Federated Large Language Models: Feasibility, Robustness, Security and Future Directions—0
Mirror Mirror on the Wall, Have I Forgotten it All? A New Framework for Evaluating Machine Unlearning—0
MUBox: A Critical Evaluation Framework of Deep Machine Unlearning—0
Certified Data Removal Under High-dimensional SettingsCode0
Efficient Machine Unlearning by Model Splitting and Core Sample Selection—0
Unilogit: Robust Machine Unlearning for LLMs Using Uniform-Target Self-Distillation—0
OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models—0
Memory-Efficient Distributed Unlearning—0
Erased but Not Forgotten: How Backdoors Compromise Concept Erasure—0
Verifying Robust Unlearning: Probing Residual Knowledge in Unlearned Models—0
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