Federated Unlearning

Federated Unlearning

27 December 2020

Papers citing "Federated Unlearning"

10 / 10 papers shown

Title
Data Duplication: A Novel Multi-Purpose Attack Paradigm in Machine Unlearning Dayong Ye Tainqing Zhu J. Li Kun Gao B. Liu L. Zhang Wanlei Zhou Y. Zhang AAML MU 80 0 0 28 Jan 2025
MEOW: MEMOry Supervised LLM Unlearning Via Inverted Facts Tianle Gu Kexin Huang Ruilin Luo Yuanqi Yao Yujiu Yang Yan Teng Yingchun Wang MU 42 4 0 18 Sep 2024
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks Hengzhu Liu Ping Xiong Tianqing Zhu Philip S. Yu 29 6 0 10 Jun 2024
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning Jinghan Jia Yihua Zhang Yimeng Zhang Jiancheng Liu Bharat Runwal James Diffenderfer B. Kailkhura Sijia Liu MU 32 33 0 28 Apr 2024
Forgetting Private Textual Sequences in Language Models via Leave-One-Out Ensemble Zhe Liu Ozlem Kalinli MU KELM 26 2 0 28 Sep 2023
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions Weiming Zhuang Chen Chen Lingjuan Lyu C. L. P. Chen Yaochu Jin Lingjuan Lyu AIFin AI4CE 99 85 0 27 Jun 2023
VeriFi: Towards Verifiable Federated Unlearning Xiangshan Gao Xingjun Ma Jingyi Wang Youcheng Sun Bo Li S. Ji Peng Cheng Jiming Chen MU 65 46 0 25 May 2022
Lightweight machine unlearning in neural network Kongyang Chen Yiwen Wang Yao Huang MU 20 7 0 10 Nov 2021
Machine Unlearning: Linear Filtration for Logit-based Classifiers Thomas Baumhauer Pascal Schöttle Matthias Zeppelzauer MU 104 130 0 07 Feb 2020
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 179 1,032 0 29 Nov 2018