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Machine Unlearning

81 directly classified papers

Papers per year

Papers

Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning ACL 2024
Making Harmful Behaviors Unlearnable for Large Language Models ACL 2024
Ungeneralizable Examples CVPR 2024
Dissecting Fine-Tuning Unlearning in Large Language Models EMNLP 2024
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning EMNLP 2024
Fine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models EMNLP 2024
ULMR: Unlearning Large Language Models via Negative Response and Model Parameter Average EMNLP 2024
Rethinking Evaluation Methods for Machine Unlearning EMNLP 2024
Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models EMNLP 2024
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement NIPS 2024
Certified Machine Unlearning via Noisy Stochastic Gradient Descent NIPS 2024
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models NIPS 2024
ERM-KTP: Knowledge-Level Machine Unlearning via Knowledge Transfer CVPR 2023
Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting the Decision Boundary CVPR 2023
KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment ACL 2023
Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks Using an Incompetent Teacher AAAI 2023
Preserving Privacy Through Dememorization: An Unlearning Technique For Mitigating Memorization Risks In Language Models EMNLP 2023
From Adaptive Query Release to Machine Unlearning ICML 2023
Model Sparsity Can Simplify Machine Unlearning NIPS 2023
Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks NIPS 2023
Repairing Neural Networks by Leaving the Right Past Behind NIPS 2022
PUMA: Performance Unchanged Model Augmentation for Training Data Removal AAAI 2022
Prompt Certified Machine Unlearning with Randomized Gradient Smoothing and Quantization NIPS 2022
Algorithms that Approximate Data Removal: New Results and Limitations NIPS 2022
Deep Unlearning via Randomized Conditionally Independent Hessians CVPR 2022