Inference Threats
Inference Threat refers to a privacy threat where an adversary deduces sensitive information from indirect, seemingly non-sensitive data through statistical, logical, or machine learning techniques, thereby compromising confidentiality despite the absence of direct data access.
17
Publications
1.5K
Citations
46
Authors
32
Institutions
Publications per year
2017–2026
10
Parents
17
Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting
Samuel Yeom, Irene Giacomelli, Matt Fredrikson et al. · 2018 · 904 citations
Label-Only Membership Inference Attacks
Christopher A. Choquette-Choo, Florian Tramèr, Nicholas Carlini et al. · arXiv (Cornell University) · 2020 · 98 citations · Full text
Controlling logical inference in multilevel database systems
Matthew Morgenstern · 2003 · 86 citations
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32
SRI International
Menlo Park, United States
2 h-index
2 publications
145 citations
Vector Institute
Toronto, Canada
1 h-index
1 publications
98 citations
Google (United States)
Mountain View, United States
1 h-index
2 publications
196 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
1 h-index
1 publications
22 citations

Zhejiang University
Hangzhou, China
1 h-index
1 publications
27 citations
Qufu Normal University
Qufu, China
1 h-index
3 publications
78 citations
University of South Carolina
Columbia, United States
1 h-index
1 publications
19 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
2 publications
1.8K citations
1–8 of 32
Repository · 3 publications · 129 citations
3
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Conference · 1 publications · 63 citations
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1 publications · 19 citations
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Conference · 1 publications · 43 citations
1
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1 publications · 26 citations
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