Reconstruction Attacks
Reconstruction Attacks is a privacy threat in federated learning whereby an adversary infers sensitive private data of individual clients by exploiting shared model updates to reconstruct approximate input samples that were used during local training.
123
Publications
7.3K
Citations
494
Authors
193
Institutions
Publications per year
2017–2026
113
Variants
Data Reconstruction Attacks
Parents
123
A survey on security and privacy of federated learning
Viraaji Mothukuri, Reza M. Parizi, Seyedamin Pouriyeh et al. · Future Generation Computer Systems · 2020 · 1.3K citations
Exposed! A Survey of Attacks on Private Data
Cynthia Dwork, Adam Smith, Thomas Steinke et al. · Annual Review of Statistics and Its Application · 2017 · 250 citations
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193

Zhejiang University
Hangzhou, China
6 h-index
7 publications
226 citations
National University of Singapore
Singapore, Singapore
5 h-index
6 publications
162 citations
Tsinghua University
Beijing, China
5 h-index
12 publications
511 citations
Duke University
Durham, United States
3 h-index
7 publications
233 citations

Pennsylvania State University
State College, United States
3 h-index
3 publications
390 citations
Helmholtz Center for Information Security
Saarbrücken, Germany
3 h-index
6 publications
243 citations

University of Toronto
Toronto, Canada
3 h-index
5 publications
298 citations

Chongqing University
Chongqing, China
3 h-index
6 publications
250 citations
1–8 of 193
Repository · 25 publications · 781 citations
17
h-index
11 publications · 461 citations
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TDSC · 4 publications · 140 citations
4
h-index
3 publications · 123 citations
3
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2 publications · 163 citations
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