VeriFi: Towards Verifiable Federated Unlearning

25 May 2022

Papers citing "VeriFi: Towards Verifiable Federated Unlearning"

25 / 25 papers shown

Title
WaterDrum: Watermarking for Data-centric Unlearning Metric Xinyang Lu Xinyuan Niu Gregory Kang Ruey Lau Bui Thi Cam Nhung Rachael Hwee Ling Sim Fanyu Wen Chuan-Sheng Foo Szu Hui Ng Bryan Kian Hsiang Low MU 61 0 0 08 May 2025
NoT: Federated Unlearning via Weight Negation Yasser H. Khalil Leo Maxime Brunswic Soufiane Lamghari Xu Li Mahdi Beitollahi Xi Chen MU 48 2 0 07 Mar 2025
SMTFL: Secure Model Training to Untrusted Participants in Federated Learning Zhihui Zhao Xiaorong Dong Yimo Ren Jianhua Wang Dan Yu Hongsong Zhu Yongle Chen 82 0 0 24 Feb 2025
Ten Challenging Problems in Federated Foundation Models Tao Fan Hanlin Gu Xuemei Cao Chee Seng Chan Qian Chen ... Y. Zhang Xiaojin Zhang Zhenzhe Zheng Lixin Fan Qiang Yang FedML 89 4 0 14 Feb 2025
Federated Unlearning Model Recovery in Data with Skewed Label Distributions Xinrui Yu Wenbin Pei Bing Xue Qiang Zhang FedML MU 84 1 0 18 Dec 2024
Streamlined Federated Unlearning: Unite as One to Be Highly Efficient Lei Zhou Youwen Zhu Qiao Xue Ji Zhang Pengfei Zhang MU 89 1 0 28 Nov 2024
ConDa: Fast Federated Unlearning with Contribution Dampening Vikram S Chundawat Pushkar Niroula Prasanna Dhungana Stefan Schoepf Murari Mandal Alexandra Brintrup FedML 26 3 0 05 Oct 2024
Unlearning during Learning: An Efficient Federated Machine Unlearning Method Hanlin Gu Gongxi Zhu Jie Zhang Xinyuan Zhao Yuxing Han Lixin Fan Qiang Yang MU 46 7 0 24 May 2024
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity Hanlin Gu W. Ong Chee Seng Chan Lixin Fan MU 39 7 0 23 May 2024
Privacy-Preserving Federated Unlearning with Certified Client Removal Ziyao Liu Huanyi Ye Yu Jiang Jiyuan Shen Jiale Guo Ivan Tjuawinata Kwok-Yan Lam MU 35 5 0 15 Apr 2024
Federated Unlearning: a Perspective of Stability and Fairness Jiaqi Shao Tao Lin Xuanyu Cao Bing Luo MU 30 7 0 02 Feb 2024
Blockchain-enabled Trustworthy Federated Unlearning Yi-Lan Lin Zhipeng Gao Hongyang Du Jinke Ren Zhiqiang Xie Dusit Niyato MU 39 5 0 29 Jan 2024
How to Forget Clients in Federated Online Learning to Rank? Shuyi Wang Bing Liu Guido Zuccon 17 7 0 24 Jan 2024
Federated Unlearning: A Survey on Methods, Design Guidelines, and Evaluation Metrics Nicolò Romandini Alessio Mora Carlo Mazzocca R. Montanari Paolo Bellavista FedML MU 61 22 0 10 Jan 2024
eCIL-MU: Embedding based Class Incremental Learning and Machine Unlearning Zhiwei Zuo Zhuo Tang Bin Wang KenLi Li Anwitaman Datta CLL MU 20 3 0 04 Jan 2024
SecureCut: Federated Gradient Boosting Decision Trees with Efficient Machine Unlearning Jian Zhang Bowen Li Jie Li Chentao Wu MU 41 3 0 22 Nov 2023
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 34 44 0 31 Oct 2023
Exploring Federated Unlearning: Review, Comparison, and Insights Yang Zhao Jiaxi Yang Yiling Tao Lixu Wang Xiaoxiao Li Dusit Niyato H. Vincent Poor FedML MU 56 0 0 30 Oct 2023
Machine Unlearning: Solutions and Challenges Jie Xu Zihan Wu Cong Wang Xiaohua Jia MU 46 46 0 14 Aug 2023
zkDL: Efficient Zero-Knowledge Proofs of Deep Learning Training Hao Sun Tonghe Bai Jason Li Hongyang R. Zhang 44 19 0 30 Jul 2023
Forgettable Federated Linear Learning with Certified Data Removal Rui Jin Minghui Chen Qiong Zhang Xiaoxiao Li MU 10 0 0 03 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
Get Rid Of Your Trail: Remotely Erasing Backdoors in Federated Learning Manaar Alam Hithem Lamri Michail Maniatakos FedML AAML MU 26 14 0 20 Apr 2023
Proof of Unlearning: Definitions and Instantiation Jiasi Weng Shenglong Yao Yuefeng Du Junjie Huang Jian Weng Cong Wang MU 31 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 41 26 0 17 Oct 2022