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2202.03460
Cited By
Deletion Inference, Reconstruction, and Compliance in Machine (Un)Learning
Proceedings on Privacy Enhancing Technologies (PoPETs), 2022
7 February 2022
Ji Gao
Sanjam Garg
Mohammad Mahmoody
Prashant Nalini Vasudevan
MIACV
AAML
Re-assign community
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Papers citing
"Deletion Inference, Reconstruction, and Compliance in Machine (Un)Learning"
20 / 20 papers shown
Rectifying Privacy and Efficacy Measurements in Machine Unlearning: A New Inference Attack Perspective
Nima Naderloui
Shenao Yan
Binghui Wang
Jie Fu
Wendy Hui Wang
Weiran Liu
Yuan Hong
AAML
338
3
0
16 Jun 2025
Class Similarity-Based Multimodal Classification under Heterogeneous Category Sets
Yangrui Zhu
Junhua Bao
Yipan Wei
Yapeng Li
Bo Du
253
1
0
11 Jun 2025
PRUNE: A Patching Based Repair Framework for Certifiable Unlearning of Neural Networks
Xuzhao Li
Jingyi Wang
Xiaohan Yuan
Peixin Zhang
AAML
MU
441
1
0
10 May 2025
A Framework for Cryptographic Verifiability of End-to-End AI Pipelines
Kar Balan
Robert Learney
Tim Wood
335
6
0
28 Mar 2025
CRFU: Compressive Representation Forgetting Against Privacy Leakage on Machine Unlearning
IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2025
Weiqi Wang
Chenhan Zhang
Zhiyi Tian
Shushu Liu
Shui Yu
MU
368
3
0
27 Feb 2025
A Review on Machine Unlearning
SN Computer Science (SCS), 2023
Haibo Zhang
Toru Nakamura
Takamasa Isohara
Kouichi Sakurai
AILaw
PILM
MU
434
85
0
18 Nov 2024
Game-Theoretic Machine Unlearning: Mitigating Extra Privacy Leakage
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2024
Hengzhu Liu
Tianqing Zhu
Lefeng Zhang
Ping Xiong
MU
474
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
410
48
0
03 Oct 2024
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks
Journal of Information Security and Applications (JISA), 2024
Hengzhu Liu
Ping Xiong
Tianqing Zhu
Philip S. Yu
266
23
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
466
19
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
265
25
0
30 May 2024
Machine Unlearning: A Comprehensive Survey
Weiqi Wang
Zhiyi Tian
Chenhan Zhang
Shui Yu
MU
AILaw
333
44
0
13 May 2024
Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning
IEEE Symposium on Security and Privacy (S&P), 2024
Hongsheng Hu
Shuo Wang
Tian Dong
Minhui Xue
AAML
238
58
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
750
55
0
20 Mar 2024
A Survey on Federated Unlearning: Challenges, Methods, and Future Directions
ACM Computing Surveys (ACM Comput. Surv.), 2023
Ziyao Liu
Yu Jiang
Jiyuan Shen
Minyi Peng
Kwok-Yan Lam
Xingliang Yuan
Xiaoning Liu
MU
474
116
0
31 Oct 2023
Tight Bounds for Machine Unlearning via Differential Privacy
Journal of Privacy and Confidentiality (JPC), 2023
Yiyang Huang
C. Canonne
MU
307
20
0
02 Sep 2023
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
T. Shaik
Xiaohui Tao
Haoran Xie
Lin Li
Xiaofeng Zhu
Qingyuan Li
MU
593
65
0
10 May 2023
SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning
IEEE Symposium on Security and Privacy (IEEE S&P), 2022
A. Salem
Giovanni Cherubin
David Evans
Boris Köpf
Andrew Paverd
Anshuman Suri
Shruti Tople
Santiago Zanella Béguelin
450
62
0
21 Dec 2022
Proof of Unlearning: Definitions and Instantiation
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022
Jiasi Weng
Shenglong Yao
Yuefeng Du
Junjie Huang
Jian Weng
Cong Wang
MU
379
25
0
20 Oct 2022
Verifiable and Provably Secure Machine Unlearning
Thorsten Eisenhofer
Doreen Riepel
Varun Chandrasekaran
Esha Ghosh
O. Ohrimenko
Nicolas Papernot
AAML
MU
542
41
0
17 Oct 2022
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