Machine Unlearning: Solutions and Challenges

Machine Unlearning: Solutions and Challenges

14 August 2023

Papers citing "Machine Unlearning: Solutions and Challenges"

11 / 11 papers shown

Title
ForgetMe: Evaluating Selective Forgetting in Generative Models Zhenyu Yu Mohd Yamani Inda Idris Pei Wang DiffM MU 32 0 0 17 Apr 2025
Uncertainty Quantification of Data Shapley via Statistical Inference Mengmeng Wu Zhihong Liu Xiang Li Ruoxi Jia Xiangyu Chang TDI 38 1 0 28 Jul 2024
Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning Somnath Basu Roy Chowdhury Krzysztof Choromanski Arijit Sehanobish Avinava Dubey Snigdha Chaturvedi MU 50 7 0 24 Jun 2024
Boundary Unlearning Min Chen Weizhuo Gao Gaoyang Liu Kai Peng Chen Wang MU 101 69 0 21 Mar 2023
Algorithms that Approximate Data Removal: New Results and Limitations Vinith M. Suriyakumar Ashia C. Wilson MU 40 23 0 25 Sep 2022
A Survey of Machine Unlearning Thanh Tam Nguyen T. T. Huynh Phi Le Nguyen Alan Wee-Chung Liew Hongzhi Yin Quoc Viet Hung Nguyen MU 77 216 0 06 Sep 2022
VeriFi: Towards Verifiable Federated Unlearning Xiangshan Gao Xingjun Ma Jingyi Wang Youcheng Sun Bo Li S. Ji Peng Cheng Jiming Chen MU 62 46 0 25 May 2022
Poison Forensics: Traceback of Data Poisoning Attacks in Neural Networks Shawn Shan A. Bhagoji Haitao Zheng Ben Y. Zhao AAML 86 50 0 13 Oct 2021
Manipulating SGD with Data Ordering Attacks Ilia Shumailov Zakhar Shumaylov Dmitry Kazhdan Yiren Zhao Nicolas Papernot Murat A. Erdogdu Ross J. Anderson AAML 109 87 0 19 Apr 2021
Mixed-Privacy Forgetting in Deep Networks Aditya Golatkar Alessandro Achille Avinash Ravichandran M. Polito Stefano Soatto CLL MU 125 158 0 24 Dec 2020
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 225 3,658 0 28 Feb 2017