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Proof of Unlearning: Definitions and Instantiation
v1v2 (latest)

Proof of Unlearning: Definitions and Instantiation

IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022
20 October 2022
Jiasi Weng
Shenglong Yao
Yuefeng Du
Junjie Huang
Jian Weng
Cong Wang
    MU
ArXiv (abs)PDFHTML

Papers citing "Proof of Unlearning: Definitions and Instantiation"

7 / 7 papers shown
Title
zkUnlearner: A Zero-Knowledge Framework for Verifiable Unlearning with Multi-Granularity and Forgery-Resistance
zkUnlearner: A Zero-Knowledge Framework for Verifiable Unlearning with Multi-Granularity and Forgery-Resistance
Nan Wang
Nan Wu
Xiangyu Hui
Jiafan Wang
Xin Yuan
68
0
0
08 Sep 2025
Towards Reliable Forgetting: A Survey on Machine Unlearning Verification
Towards Reliable Forgetting: A Survey on Machine Unlearning Verification
Lulu Xue
Shengshan Hu
Wei Lu
Yan Shen
Dongxu Li
Peijin Guo
Ziqi Zhou
Minghui Li
Yanjun Zhang
Leo Yu Zhang
MUAAML
348
2
0
18 Jun 2025
Machine Unlearning: Solutions and Challenges
Machine Unlearning: Solutions and ChallengesIEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2023
Jie Xu
Zihan Wu
Cong Wang
Xiaohua Jia
MU
412
97
0
14 Aug 2023
zkDL: Efficient Zero-Knowledge Proofs of Deep Learning Training
zkDL: Efficient Zero-Knowledge Proofs of Deep Learning TrainingIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
Hao Sun
Tonghe Bai
Jason Li
Hongyang R. Zhang
199
38
0
30 Jul 2023
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey
  and Taxonomy
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and TaxonomyIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
T. Shaik
Xiaohui Tao
Haoran Xie
Lin Li
Xiaofeng Zhu
Qingyuan Li
MU
440
50
0
10 May 2023
Verifiable and Provably Secure Machine Unlearning
Verifiable and Provably Secure Machine Unlearning
Thorsten Eisenhofer
Doreen Riepel
Varun Chandrasekaran
Esha Ghosh
O. Ohrimenko
Nicolas Papernot
AAMLMU
318
38
0
17 Oct 2022
Machine Learning with Confidential Computing: A Systematization of
  Knowledge
Machine Learning with Confidential Computing: A Systematization of KnowledgeACM Computing Surveys (ACM CSUR), 2022
Fan Mo
Zahra Tarkhani
Hamed Haddadi
331
20
0
22 Aug 2022
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