Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2005.02205
Cited By
v1
v2 (latest)
When Machine Unlearning Jeopardizes Privacy
Conference on Computer and Communications Security (CCS), 2020
5 May 2020
Min Chen
Zhikun Zhang
Tianhao Wang
Michael Backes
Mathias Humbert
Yang Zhang
MIACV
Re-assign community
ArXiv (abs)
PDF
HTML
Github (47★)
Papers citing
"When Machine Unlearning Jeopardizes Privacy"
50 / 112 papers shown
FedSGT: Exact Federated Unlearning via Sequential Group-based Training
Bokang Zhang
Hong Guan
Hong kyu Lee
Ruixuan Liu
Jia Zou
Li Xiong
MU
FedML
333
1
0
28 Nov 2025
Toward Efficient Inference Attacks: Shadow Model Sharing via Mixture-of-Experts
Li Bai
Qingqing Ye
Xinwei Zhang
Sen Zhang
Zi Liang
Jianliang Xu
Haibo Hu
FedML
MIACV
MoE
365
2
0
15 Oct 2025
Customized Retrieval-Augmented Generation with LLM for Debiasing Recommendation Unlearning
H. Zhang
Chong Zhang
Peiyu Hu
Shi Qiu
Jia Wang
MU
CML
217
0
0
10 Sep 2025
Bias-Aware Machine Unlearning: Towards Fairer Vision Models via Controllable Forgetting
Sai Siddhartha Chary Aylapuram
Veeraraju Elluru
Shivang Agarwal
FaML
MU
208
1
0
09 Sep 2025
zkUnlearner: A Zero-Knowledge Framework for Verifiable Unlearning with Multi-Granularity and Forgery-Resistance
Nan Wang
Nan Wu
Xiangyu Hui
Jiafan Wang
Xin Yuan
126
0
0
08 Sep 2025
Auditing Approximate Machine Unlearning for Differentially Private Models
Yuechun Gu
Jiajie He
Keke Chen
MU
221
1
0
26 Aug 2025
Evaluating the Defense Potential of Machine Unlearning against Membership Inference Attacks
Aristeidis Sidiropoulos
Christos Chrysanthos Nikolaidis
Theodoros Tsiolakis
Nikolaos Pavlidis
V. Perifanis
P. Efraimidis
290
0
0
22 Aug 2025
BadFU: Backdoor Federated Learning through Adversarial Machine Unlearning
Bingguang Lu
Hongsheng Hu
Yuantian Miao
Shaleeza Sohail
Chaoxiang He
Shuo Wang
Xiao Chen
FedML
MU
205
0
0
21 Aug 2025
Unlearning Comparator: A Visual Analytics System for Comparative Evaluation of Machine Unlearning Methods
J. Lee
Suhyeon Yu
Yurim Jang
Simon S. Woo
Jaemin Jo
MU
390
3
0
18 Aug 2025
EFU: Enforcing Federated Unlearning via Functional Encryption
Samaneh Mohammadi
Vasileios Tsouvalas
Iraklis Symeonidis
Ali Balador
T. Ozcelebi
Francesco Flammini
N. Meratnia
MU
269
1
0
11 Aug 2025
Membership Inference Attacks with False Discovery Rate Control
Chenxu Zhao
Wei Qian
Aobo Chen
Mengdi Huai
216
2
0
09 Aug 2025
Graph Unlearning via Embedding Reconstruction -- A Range-Null Space Decomposition Approach
Hang Yin
Zipeng Liu
Xiaoyong Peng
Liyao Xiang
MU
182
0
0
04 Aug 2025
Evaluating the Dynamics of Membership Privacy in Deep Learning
Yuetian Chen
Zhiqi Wang
Nathalie Baracaldo
S. Kadhe
Lei Yu
MIACV
439
1
0
31 Jul 2025
Reminiscence Attack on Residuals: Exploiting Approximate Machine Unlearning for Privacy
Yaxin Xiao
Qingqing Ye
Li Hu
Huadi Zheng
Haibo Hu
Zi Liang
Haoyang Li
Yijie Jiao
AAML
224
2
0
28 Jul 2025
The Right to be Forgotten in Pruning: Unveil Machine Unlearning on Sparse Models
Yang Xiao
Gen Li
Jie Ji
Ruimeng Ye
Xiaolong Ma
Bo Hui
MU
352
3
0
24 Jul 2025
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
MU
543
4
0
18 Jun 2025
PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning
Xiangman Li
Xiaodong Wu
Jianbing Ni
Mohamed Mahmoud
Maazen Alsabaan
AAML
211
0
0
18 Jun 2025
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
342
3
0
16 Jun 2025
Class Similarity-Based Multimodal Classification under Heterogeneous Category Sets
Yangrui Zhu
Junhua Bao
Yipan Wei
Yapeng Li
Bo Du
254
1
0
11 Jun 2025
Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness
Cheng-Long Wang
Qi Li
Zihang Xiang
Yinzhi Cao
Di Wang
MU
226
7
0
06 Jun 2025
Semantic Aware Linear Transfer by Recycling Pre-trained Language Models for Cross-lingual Transfer
Annual Meeting of the Association for Computational Linguistics (ACL), 2025
Seungyoon Lee
Seongtae Hong
Hyeonseok Moon
Heuiseok Lim
KELM
382
0
0
16 May 2025
Privacy-Aware Lifelong Learning
International Conference on Learning Representations (ICLR), 2025
Ozan Özdenizci
Elmar Rueckert
Robert Legenstein
CLL
MU
KELM
413
2
0
16 May 2025
Certified Data Removal Under High-dimensional Settings
Haolin Zou
Arnab Auddy
Yongchan Kwon
Kamiar Rahnama Rad
A. Maleki
MU
341
5
0
12 May 2025
How Secure is Forgetting? Linking Machine Unlearning to Machine Learning Attacks
R. Agarwal
S. Nicolazzo
Antonino Nocera
Vinod Puthuvath
AAML
MU
429
4
0
26 Mar 2025
SCU: An Efficient Machine Unlearning Scheme for Deep Learning Enabled Semantic Communications
IEEE Transactions on Information Forensics and Security (TIFS), 2025
Weiqi Wang
Zhiyi Tian
Chenhan Zhang
Shui Yu
MU
352
7
0
27 Feb 2025
TAPE: Tailored Posterior Difference for Auditing of Machine Unlearning
The Web Conference (WWW), 2025
Weiqi Wang
Zhiyi Tian
An Liu
Shui Yu
402
7
0
27 Feb 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
376
3
0
27 Feb 2025
Privacy Ripple Effects from Adding or Removing Personal Information in Language Model Training
Annual Meeting of the Association for Computational Linguistics (ACL), 2025
Jaydeep Borkar
Matthew Jagielski
Katherine Lee
Niloofar Mireshghallah
David A. Smith
Christopher A. Choquette-Choo
PILM
807
10
0
21 Feb 2025
Obliviate: Efficient Unmemorization for Protecting Intellectual Property in Large Language Models
M. Russinovich
Ahmed Salem
CLL
MU
475
4
0
20 Feb 2025
From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems
Yining Hong
Christopher S. Timperley
Jane Hsieh
520
2
0
11 Feb 2025
TDDBench: A Benchmark for Training data detection
International Conference on Learning Representations (ICLR), 2024
Zhihao Zhu
Yi Yang
Defu Lian
338
1
0
05 Nov 2024
Data Deletion for Linear Regression with Noisy SGD
Zhangjie Xia
Chi-Hua Wang
Guang Cheng
409
2
0
12 Oct 2024
Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models
Vinith Suriyakumar
Rohan Alur
Ayush Sekhari
Manish Raghavan
Ashia Wilson
471
13
0
10 Oct 2024
Alternate Preference Optimization for Unlearning Factual Knowledge in Large Language Models
Anmol Mekala
Pratyush Maini
Shreya Dubey
Abhishek Lalwani
David Koleczek
Mukund Rungta
Sadid Hasan
Elita Lobo
KELM
MU
292
26
0
20 Sep 2024
RLCP: A Reinforcement Learning-based Copyright Protection Method for Text-to-Image Diffusion Model
Zhuan Shi
Jing Yan
Xiaoli Tang
Lingjuan Lyu
Boi Faltings
485
3
0
29 Aug 2024
Neural Machine Unranking
Jingrui Hou
Axel Finke
Georgina Cosma
MU
434
2
0
09 Aug 2024
Towards Certified Unlearning for Deep Neural Networks
International Conference on Machine Learning (ICML), 2024
Binchi Zhang
Yushun Dong
Tianhao Wang
Wenlin Yao
MU
538
29
0
01 Aug 2024
SeqMIA: Sequential-Metric Based Membership Inference Attack
Hao Li
Zheng Li
Siyuan Wu
Chengrui Hu
Yutong Ye
Min Zhang
Dengguo Feng
Yang Zhang
234
29
0
21 Jul 2024
Learning to Unlearn for Robust Machine Unlearning
Mark He Huang
Lin Geng Foo
Jun Liu
MU
265
22
0
15 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
627
31
0
25 Jun 2024
Label Smoothing Improves Machine Unlearning
Zonglin Di
Zhaowei Zhu
Jinghan Jia
Jiancheng Liu
Zafar Takhirov
Wanrong Zhang
Yuanshun Yao
Sijia Liu
Yang Liu
232
8
0
11 Jun 2024
Inference Attacks: A Taxonomy, Survey, and Promising Directions
Feng Wu
Lei Cui
Shaowen Yao
Shui Yu
453
3
0
04 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
471
19
0
03 Jun 2024
"Forgetting" in Machine Learning and Beyond: A Survey
Alyssa Shuang Sha
Bernardo Pereira Nunes
Armin Haller
MU
KELM
345
6
0
31 May 2024
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity
Neural Information Processing Systems (NeurIPS), 2024
Hanlin Gu
W. Ong
Chee Seng Chan
Lixin Fan
MU
481
20
0
23 May 2024
Unlearning Information Bottleneck: Machine Unlearning of Systematic Patterns and Biases
Ling Han
Hao Huang
Dustin Scheinost
Mary-Anne Hartley
María Rodríguez Martínez
MU
238
2
0
22 May 2024
Privacy-Preserving Debiasing using Data Augmentation and Machine Unlearning
Zhixin Pan
Emma Andrews
Laura Chang
Prabhat Mishra
MU
199
1
0
19 Apr 2024
Threats, Attacks, and Defenses in Machine Unlearning: A Survey
Ziyao Liu
Huanyi Ye
Chen Chen
Yongsen Zheng
K. Lam
AAML
MU
762
55
0
20 Mar 2024
Fluent: Round-efficient Secure Aggregation for Private Federated Learning
Xincheng Li
Jianting Ning
G. Poh
Leo Yu Zhang
Xinchun Yin
Tianwei Zhang
FedML
270
2
0
10 Mar 2024
Guardrail Baselines for Unlearning in LLMs
Pratiksha Thaker
Yash Maurya
Shengyuan Hu
Zhiwei Steven Wu
Virginia Smith
MU
505
89
0
05 Mar 2024
1
2
3
Next
Page 1 of 3
