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Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning

Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning

25 July 2022
Xinlei He
Hongbin Liu
Neil Zhenqiang Gong
Yang Zhang
    AAML
    MIACV
ArXivPDFHTML

Papers citing "Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning"

5 / 5 papers shown
Title
Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers
Huan Tian
Guangsheng Zhang
Bo Liu
Tianqing Zhu
Ming Ding
Wanlei Zhou
53
0
0
08 Mar 2025
Test-Time Poisoning Attacks Against Test-Time Adaptation Models
Test-Time Poisoning Attacks Against Test-Time Adaptation Models
Tianshuo Cong
Xinlei He
Yun Shen
Yang Zhang
AAML
TTA
24
5
0
16 Aug 2023
SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained
  Encoders
SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders
Tianshuo Cong
Xinlei He
Yang Zhang
18
52
0
27 Jan 2022
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo
  Labeling
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang
Yidong Wang
Wenxin Hou
Hao Wu
Jindong Wang
Manabu Okumura
T. Shinozaki
AAML
231
862
0
15 Oct 2021
Systematic Evaluation of Privacy Risks of Machine Learning Models
Systematic Evaluation of Privacy Risks of Machine Learning Models
Liwei Song
Prateek Mittal
MIACV
196
358
0
24 Mar 2020
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