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Papers
A Certified Unlearning Approach without Access to Source Data
ICML 2025
Adaptive Localization of Knowledge Negation for Continual LLM Unlearning
ICML 2025
Certified Unlearning for Neural Networks
ICML 2025
Efficient Source-free Unlearning via Energy-Guided Data Synthesis and Discrimination-Aware Multitask Optimization
ICML 2025
Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning
ICML 2025
Fast Exact Unlearning for In-Context Learning Data for LLMs
ICML 2025
GRU: Mitigating the Trade-off between Unlearning and Retention for LLMs
ICML 2025
Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning
ICML 2025
Large-Scale Training Data Attribution for Music Generative Models via Unlearning
NeurIPS 2025
Leveraging Per-Instance Privacy for Machine Unlearning
ICML 2025
Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization
ICML 2025
NegMerge: Sign-Consensual Weight Merging for Machine Unlearning
ICML 2025
Not All Wrong is Bad: Using Adversarial Examples for Unlearning
ICML 2025
SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability
ICML 2025
System-Aware Unlearning Algorithms: Use Lesser, Forget Faster
ICML 2025
Targeted Unlearning with Single Layer Unlearning Gradient
ICML 2025
Textual Unlearning Gives a False Sense of Unlearning
ICML 2025
The Space Complexity of Learning-Unlearning Algorithms (extended abstract)
COLT 2025
The Utility and Complexity of In- and Out-of-Distribution Machine Unlearning
ICLR 2025
Towards flexible perception with visual memory
ICML 2025
Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning
ICML 2025
Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction
MIDL 2024
In-Context Unlearning: Language Models as Few-Shot Unlearners
ICML 2024
The WMDP Benchmark: Measuring and Reducing Malicious Use with Unlearning
ICML 2024
To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models
ICML 2024