Deletion Inference, Reconstruction, and Compliance in Machine
(Un)Learning

Deletion Inference, Reconstruction, and Compliance in Machine (Un)Learning

7 February 2022

Mohammad Mahmoody

Prashant Nalini Vasudevan

Papers citing "Deletion Inference, Reconstruction, and Compliance in Machine (Un)Learning"

19 / 19 papers shown

Title
PRUNE: A Patching Based Repair Framework for Certiffable Unlearning of Neural Networks X. Li Jingyi Wang Xiaohan Yuan Peixin Zhang Z. Qin Zhibo Wang Kui Ren AAML MU 42 0 0 10 May 2025
A Framework for Cryptographic Verifiability of End-to-End AI Pipelines Kar Balan Robert Learney Tim Wood 34 0 0 28 Mar 2025
CRFU: Compressive Representation Forgetting Against Privacy Leakage on Machine Unlearning Weiqi Wang Chenhan Zhang Zhiyi Tian Shushu Liu Shui Yu MU 42 0 0 27 Feb 2025
A Review on Machine Unlearning Haibo Zhang Toru Nakamura Takamasa Isohara Kouichi Sakurai AILaw PILM MU 88 46 0 18 Nov 2024
Game-Theoretic Machine Unlearning: Mitigating Extra Privacy Leakage Hengzhu Liu Tianqing Zhu Lefeng Zhang Ping Xiong MU 32 0 0 06 Nov 2024
Position: LLM Unlearning Benchmarks are Weak Measures of Progress Pratiksha Thaker Shengyuan Hu Neil Kale Yash Maurya Zhiwei Steven Wu Virginia Smith MU 45 10 0 03 Oct 2024
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks Hengzhu Liu Ping Xiong Tianqing Zhu Philip S. Yu 27 6 0 10 Jun 2024
Guaranteeing Data Privacy in Federated Unlearning with Dynamic User Participation Ziyao Liu Yu Jiang Weifeng Jiang Jiale Guo Jun Zhao Kwok-Yan Lam MU FedML 47 6 0 03 Jun 2024
Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable Martín Bertrán Shuai Tang Michael Kearns Jamie Morgenstern Aaron Roth Zhiwei Steven Wu AAML 27 5 0 30 May 2024
Machine Unlearning: A Comprehensive Survey Weiqi Wang Zhiyi Tian Chenhan Zhang Shui Yu MU AILaw 32 13 0 13 May 2024
Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning Hongsheng Hu Shuo Wang Tian Dong Minhui Xue AAML 23 17 0 04 Apr 2024
Threats, Attacks, and Defenses in Machine Unlearning: A Survey Ziyao Liu Huanyi Ye Chen Chen Yongsen Zheng K. Lam AAML MU 29 28 0 20 Mar 2024
A Survey on Federated Unlearning: Challenges, Methods, and Future Directions Ziyao Liu Yu Jiang Jiyuan Shen Minyi Peng Kwok-Yan Lam Xingliang Yuan Xiaoning Liu MU 26 43 0 31 Oct 2023
Tight Bounds for Machine Unlearning via Differential Privacy Yiyang Huang C. Canonne MU 17 9 0 02 Sep 2023
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy T. Shaik Xiaohui Tao Haoran Xie Lin Li Xiaofeng Zhu Qingyuan Li MU 30 25 0 10 May 2023
SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning A. Salem Giovanni Cherubin David E. Evans Boris Köpf Andrew J. Paverd Anshuman Suri Shruti Tople Santiago Zanella Béguelin 31 35 0 21 Dec 2022
Proof of Unlearning: Definitions and Instantiation Jiasi Weng Shenglong Yao Yuefeng Du Junjie Huang Jian Weng Cong Wang MU 19 12 0 20 Oct 2022
Verifiable and Provably Secure Machine Unlearning Thorsten Eisenhofer Doreen Riepel Varun Chandrasekaran Esha Ghosh O. Ohrimenko Nicolas Papernot AAML MU 28 26 0 17 Oct 2022
When is Memorization of Irrelevant Training Data Necessary for High-Accuracy Learning? Gavin Brown Mark Bun Vitaly Feldman Adam D. Smith Kunal Talwar 245 93 0 11 Dec 2020