Attribute Inference
Attribute Inference is a type of privacy attack in which the distinguishing characteristic is the prediction of sensitive attributes not present in a dataset by exploiting patterns and correlations in auxiliary or quasi-identifying information.
137
Publications
18.5K
Citations
387
Authors
164
Institutions
Publications per year
2017–2026
73
137
Deep Learning Face Attributes in the Wild
Ziwei Liu, Ping Luo, Xiaogang Wang et al. · 2015 · 7.7K citations
Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting
Samuel Yeom, Irene Giacomelli, Matt Fredrikson et al. · 2018 · 904 citations
Elena Zheleva, Lise Getoor · 2009 · 539 citations
PANDA: Pose Aligned Networks for Deep Attribute Modeling
Ning Zhang, Manohar Paluri, Marc’Aurelio Ranzato et al. · 2014 · 500 citations
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164
University of California, Los Angeles
Los Angeles, United States
4 h-index
7 publications
416 citations

Beihang University
Beijing, China
4 h-index
10 publications
222 citations

Chinese Academy of Sciences
Beijing, China
4 h-index
10 publications
639 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
4 h-index
14 publications
34.4K citations
Iowa State University
Ames, United States
4 h-index
8 publications
617 citations

King Abdullah University of Science and Technology
Jeddah, Saudi Arabia
3 h-index
6 publications
801 citations
Arizona State University
Tempe, United States
3 h-index
10 publications
594 citations
National University of Singapore
Singapore, Singapore
3 h-index
6 publications
1K citations
1–8 of 164
Repository · 22 publications · 725 citations
16
h-index
JCR · 3 publications · 640 citations
3
h-index
3 publications · 606 citations
3
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TKDE · 2 publications · 253 citations
2
h-index
NSE · 2 publications · 50 citations
2
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1–5