Forget Unlearning: Towards True Data-Deletion in Machine Learning

17 October 2022

Papers citing "Forget Unlearning: Towards True Data-Deletion in Machine Learning"

28 / 28 papers shown

Title
MUBox: A Critical Evaluation Framework of Deep Machine Unlearning Xiang Li Bhavani Thuraisingham Wenqi Wei MU AILaw ELM 37 0 0 13 May 2025
When to Forget? Complexity Trade-offs in Machine Unlearning Martin Van Waerebeke Marco Lorenzi Giovanni Neglia Kevin Scaman MU 43 0 0 24 Feb 2025
Game-Theoretic Machine Unlearning: Mitigating Extra Privacy Leakage Hengzhu Liu Tianqing Zhu Lefeng Zhang Ping Xiong MU 39 0 0 06 Nov 2024
Data Deletion for Linear Regression with Noisy SGD Zhangjie Xia Chi-Hua Wang Guang Cheng 30 2 0 12 Oct 2024
DiffZOO: A Purely Query-Based Black-Box Attack for Red-teaming Text-to-Image Generative Model via Zeroth Order Optimization Pucheng Dang Xing Hu Dong Li Rui Zhang Qi Guo Kaidi Xu DiffM 36 5 0 18 Aug 2024
Learning to Unlearn for Robust Machine Unlearning Mark He Huang Lin Geng Foo Jun Liu MU 37 8 0 15 Jul 2024
MUSE: Machine Unlearning Six-Way Evaluation for Language Models Weijia Shi Jaechan Lee Yangsibo Huang Sadhika Malladi Jieyu Zhao Ari Holtzman Daogao Liu Luke Zettlemoyer Noah A. Smith Chiyuan Zhang MU ELM 45 46 0 08 Jul 2024
Machine Unlearning Fails to Remove Data Poisoning Attacks Martin Pawelczyk Jimmy Z. Di Yiwei Lu Gautam Kamath Ayush Sekhari Seth Neel AAML MU 57 8 0 25 Jun 2024
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks Hengzhu Liu Ping Xiong Tianqing Zhu Philip S. Yu 32 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 34 5 0 30 May 2024
Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction Yuyang Xue Jingshuai Liu Steven G. McDonagh Sotirios A. Tsaftaris MU 27 1 0 24 May 2024
Goldfish: An Efficient Federated Unlearning Framework Houzhe Wang Xiaojie Zhu Chi Chen Paulo Esteves-Verissimo FedML MU 37 3 0 04 Apr 2024
Partially Blinded Unlearning: Class Unlearning for Deep Networks a Bayesian Perspective Subhodip Panda S. Sourav Prathosh A.P. MU 46 1 0 24 Mar 2024
Threats, Attacks, and Defenses in Machine Unlearning: A Survey Ziyao Liu Huanyi Ye Chen Chen Yongsen Zheng K. Lam AAML MU 35 28 0 20 Mar 2024
Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Approximate Unlearning Completeness Cheng-Long Wang Qi Li Zihang Xiang Yinzhi Cao Di Wang MU 29 1 0 19 Mar 2024
Machine Unlearning of Pre-trained Large Language Models Jin Yao Eli Chien Minxin Du Xinyao Niu Tianhao Wang Zezhou Cheng Xiang Yue MU 50 34 0 23 Feb 2024
Separable Multi-Concept Erasure from Diffusion Models Mengnan Zhao Lihe Zhang Tianhang Zheng Yuqiu Kong Baocai Yin 50 9 0 03 Feb 2024
Machine Unlearning for Image-to-Image Generative Models Guihong Li Hsiang Hsu Chun-Fu Chen R. Marculescu MU VLM 70 25 0 01 Feb 2024
Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning Eli Chien Haoyu Wang Ziang Chen Pan Li MU 37 8 0 18 Jan 2024
Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks Piyush Tiwary Atri Guha Subhodip Panda Prathosh A.P. MU GAN 55 7 0 25 Sep 2023
Training Data Protection with Compositional Diffusion Models Aditya Golatkar Alessandro Achille A. Swaminathan Stefano Soatto DiffM 26 11 0 02 Aug 2023
Ticketed Learning-Unlearning Schemes Badih Ghazi Pritish Kamath Ravi Kumar Pasin Manurangsi Ayush Sekhari Chiyuan Zhang MU 43 7 0 27 Jun 2023
Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities Xudong Shen H. Brown Jiashu Tao Martin Strobel Yao Tong Akshay Narayan Harold Soh Finale Doshi-Velez 27 3 0 22 Jun 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 36 25 0 10 May 2023
SAFE: Machine Unlearning With Shard Graphs Yonatan Dukler Benjamin Bowman Alessandro Achille Aditya Golatkar A. Swaminathan Stefano Soatto MU 22 22 0 25 Apr 2023
Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks Jimmy Z. Di Jack Douglas Jayadev Acharya Gautam Kamath Ayush Sekhari MU 32 44 0 21 Dec 2022
Towards Adversarial Evaluations for Inexact Machine Unlearning Shashwat Goel Ameya Prabhu Amartya Sanyal Ser-Nam Lim Philip H. S. Torr Ponnurangam Kumaraguru AAML ELM MU 29 47 0 17 Jan 2022