Inference Attacks
Inference Attack is a type of privacy threat in which an adversary deduces sensitive, private information from indirect observations or seemingly innocuous data through analytical or machine learning techniques.
426
Publications
31.3K
Citations
1.2K
Authors
435
Institutions
Publications per year
2017–2026
346
Parents
426
Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting
Samuel Yeom, Irene Giacomelli, Matt Fredrikson et al. · 2018 · 904 citations
Stealing Machine Learning Models via Prediction APIs
Florian Tramèr, Fan Zhang, Ari Juels et al. · arXiv (Cornell University) · 2016 · 733 citations · Full text
Reza Shokri, George Theodorakopoulos, Jean‐Yves Le Boudec et al. · 2011 · 701 citations · Full text
1–5 of 426
1.2K
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435

Xidian University
Xi'an, China
13 h-index
45 publications
1.4K citations
National University of Singapore
Singapore, Singapore
12 h-index
16 publications
3K citations
University of Illinois Urbana-Champaign
Urbana, United States
11 h-index
23 publications
3.4K citations
Helmholtz Center for Information Security
Saarbrücken, Germany
11 h-index
28 publications
3.3K citations
Tsinghua University
Beijing, China
10 h-index
19 publications
1.4K citations

Zhejiang University
Hangzhou, China
10 h-index
7 publications
742 citations
University College London
London, United Kingdom
9 h-index
23 publications
2.2K citations
Princeton University
Princeton, United States
9 h-index
14 publications
1.7K citations
1–8 of 435
Repository · 72 publications · 3.4K citations
28
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TDSC · 13 publications · 1K citations
12
h-index
12 publications · 549 citations
12
h-index
11 publications · 565 citations
11
h-index
PoPETs · 7 publications · 716 citations
8
h-index
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