Machine Unlearning

Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting the Decision Boundary CVPR 2023 Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks Using an Incompetent Teacher AAAI 2023 ERM-KTP: Knowledge-Level Machine Unlearning via Knowledge Transfer CVPR 2023 From Adaptive Query Release to Machine Unlearning ICML 2023 Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks NeurIPS 2023 KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment ACL 2023 Model Sparsity Can Simplify Machine Unlearning NeurIPS 2023 Preserving Privacy Through Dememorization: An Unlearning Technique For Mitigating Memorization Risks In Language Models EMNLP 2023 Algorithms that Approximate Data Removal: New Results and Limitations NeurIPS 2022 Deep Unlearning via Randomized Conditionally Independent Hessians CVPR 2022 Prompt Certified Machine Unlearning with Randomized Gradient Smoothing and Quantization NeurIPS 2022 PUMA: Performance Unchanged Model Augmentation for Training Data Removal AAAI 2022 Repairing Neural Networks by Leaving the Right Past Behind NeurIPS 2022 Adaptive Machine Unlearning NeurIPS 2021 Machine Unlearning via Algorithmic Stability COLT 2021 Mixed-Privacy Forgetting in Deep Networks CVPR 2021 Remember What You Want to Forget: Algorithms for Machine Unlearning NeurIPS 2021 Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks CVPR 2020 Variational Bayesian Unlearning NeurIPS 2020 Making AI Forget You: Data Deletion in Machine Learning NeurIPS 2019