Unlearning Isn’t Deletion: Investigating Reversibility of Machine Unlearning in LLMs
Authors: Xiaoyu Xu, Xiang Yue, Yang Liu, Qingqing Ye, Haibo Hu, Minxin Du | Published: 2025-05-22
Machine learning
Fast Yet Effective Machine Unlearning
Authors: Ayush K Tarun, Vikram S Chundawat, Murari Mandal, Mohan Kankanhalli | Published: 2021-11-17 | Updated: 2023-05-31
Machine Unlearning for Random Forests
Authors: Jonathan Brophy, Daniel Lowd | Published: 2020-09-11 | Updated: 2021-06-11
Descent-to-Delete: Gradient-Based Methods for Machine Unlearning
Authors: Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi | Published: 2020-07-06
Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations
Authors: Aditya Golatkar, Alessandro Achille, Stefano Soatto | Published: 2020-03-05 | Updated: 2020-10-29
Approximate Data Deletion from Machine Learning Models
Authors: Zachary Izzo, Mary Anne Smart, Kamalika Chaudhuri, James Zou | Published: 2020-02-24 | Updated: 2021-02-23
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks
Authors: Aditya Golatkar, Alessandro Achille, Stefano Soatto | Published: 2019-11-12 | Updated: 2020-03-31
Certified Data Removal from Machine Learning Models
Authors: Chuan Guo, Tom Goldstein, Awni Hannun, Laurens van der Maaten | Published: 2019-11-08 | Updated: 2023-11-08
Making AI Forget You: Data Deletion in Machine Learning
Authors: Antonio Ginart, Melody Y. Guan, Gregory Valiant, James Zou | Published: 2019-07-11 | Updated: 2019-11-04
Hessian-Aware Zeroth-Order Optimization for Black-Box Adversarial Attack
Authors: Haishan Ye, Zhichao Huang, Cong Fang, Chris Junchi Li, Tong Zhang | Published: 2018-12-29 | Updated: 2019-03-20