Attribute Inference Attacks
Attribute Inference Attack is a type of privacy attack in which an adversary exploits observable data and auxiliary information to predict sensitive attributes that are not directly accessible, distinguishing itself from other inference attacks by focusing on the reconstruction of specific hidden attributes rather than overall data re-identification or membership status.
52
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4.8K
Citations
154
Authors
65
Institutions
Publications per year
2017–2026
38
Parents
52
Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting
Samuel Yeom, Irene Giacomelli, Matt Fredrikson et al. · 2018 · 904 citations
On k -anonymity and the curse of dimensionality
Charų C. Aggarwal · 2005 · 594 citations
Elena Zheleva, Lise Getoor · 2009 · 539 citations
Privacy-preserving matrix factorization
Valeria Nikolaenko, Stratis Ioannidis, Udi Weinsberg et al. · 2013 · 283 citations
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65

Beihang University
Beijing, China
4 h-index
11 publications
229 citations

The University of Queensland
Brisbane, Australia
3 h-index
9 publications
733 citations
Iowa State University
Ames, United States
3 h-index
4 publications
289 citations
Institute of Information Engineering
Beijing, China
3 h-index
7 publications
126 citations

Zhejiang University
Hangzhou, China
3 h-index
3 publications
50 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
6 publications
112 citations
Arizona State University
Tempe, United States
2 h-index
7 publications
471 citations
Helmholtz Center for Information Security
Saarbrücken, Germany
2 h-index
3 publications
105 citations
1–8 of 65
Repository · 12 publications · 421 citations
11
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TKDE · 2 publications · 253 citations
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NSE · 2 publications · 50 citations
2
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1 publications · 35 citations
1
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1 publications · 20 citations
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