machine unlearning

Fast Model DeBias with Machine Unlearning NeurIPS 2023 Forget Unlearning: Towards True Data-Deletion in Machine Learning ICML 2023 From Adaptive Query Release to Machine Unlearning ICML 2023 GNNDelete: A General Strategy for Unlearning in Graph Neural Networks ICLR 2023 Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks NeurIPS 2023 KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment ACL 2023 Machine Unlearning of Federated Clusters ICLR 2023 Make Text Unlearnable: Exploiting Effective Patterns to Protect Personal Data ACL 2023 Model Sparsity Can Simplify Machine Unlearning NeurIPS 2023 MUter: Machine Unlearning on Adversarially Trained Models ICCV 2023 On the Trade-Off between Actionable Explanations and the Right to be Forgotten ICLR 2023 Preserving Privacy Through Dememorization: An Unlearning Technique For Mitigating Memorization Risks In Language Models EMNLP 2023 SAFE: Machine Unlearning With Shard Graphs ICCV 2023 Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models NeurIPS 2023 Static and Sequential Malicious Attacks in the Context of Selective Forgetting NeurIPS 2023 Ticketed Learning–Unlearning Schemes COLT 2023 Towards Unbounded Machine Unlearning NeurIPS 2023 UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition NeurIPS 2023 Unlearn What You Want to Forget: Efficient Unlearning for LLMs EMNLP 2023 Algorithms that Approximate Data Removal: New Results and Limitations NeurIPS 2022 ARCANE: An Efficient Architecture for Exact Machine Unlearning IJCAI 2022 A Zest of LIME: Towards Architecture-Independent Model Distances ICLR 2022 Deep Unlearning via Randomized Conditionally Independent Hessians CVPR 2022 Hard to Forget: Poisoning Attacks on Certified Machine Unlearning AAAI 2022 Knowledge Removal in Sampling-based Bayesian Inference ICLR 2022