Is Retain Set All You Need in Machine Unlearning? Restoring Performance
of Unlearned Models with Out-Of-Distribution Images

Is Retain Set All You Need in Machine Unlearning? Restoring Performance of Unlearned Models with Out-Of-Distribution Images

19 April 2024

Papers citing "Is Retain Set All You Need in Machine Unlearning? Restoring Performance of Unlearned Models with Out-Of-Distribution Images"

11 / 11 papers shown

Title
Are We Truly Forgetting? A Critical Re-examination of Machine Unlearning Evaluation Protocols Yongwoo Kim Sungmin Cha Donghyun Kim MU ELM 53 2 0 10 Mar 2025
MultiDelete for Multimodal Machine Unlearning Jiali Cheng Hadi Amiri MU 77 7 0 18 Nov 2023
Adversarial Unlearning: Reducing Confidence Along Adversarial Directions Amrith Rajagopal Setlur Benjamin Eysenbach Virginia Smith Sergey Levine 35 18 0 03 Jun 2022
Label-Only Model Inversion Attacks via Boundary Repulsion Mostafa Kahla Si-An Chen H. Just R. Jia 54 76 0 03 Mar 2022
Variational Model Inversion Attacks Kuan-Chieh Wang Yanzhe Fu Ke Li Ashish Khisti R. Zemel Alireza Makhzani MIACV 52 95 0 26 Jan 2022
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data Gongfan Fang Yifan Bao Mingli Song Xinchao Wang Don Xie Chengchao Shen Xiuming Zhang 57 44 0 27 Oct 2021
Exploiting Explanations for Model Inversion Attacks Xu Zhao Wencan Zhang Xiao Xiao Brian Y. Lim MIACV 46 83 0 26 Apr 2021
Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams Matthias De Lange Tinne Tuytelaars CLL 33 201 0 02 Sep 2020
Systematic Evaluation of Privacy Risks of Machine Learning Models Liwei Song Prateek Mittal MIACV 273 367 0 24 Mar 2020
Certified Data Removal from Machine Learning Models Chuan Guo Tom Goldstein Awni Y. Hannun Laurens van der Maaten MU 72 428 0 08 Nov 2019
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 200 4,075 0 18 Oct 2016