Model Inversion Attacks
Model Inversion Attack is a privacy attack in federated learning where an adversary reconstructs sensitive input data from a machine learning model's parameters or outputs by exploiting the model's inference behavior.
129
Publications
14.8K
Citations
412
Authors
178
Institutions
Publications per year
2017–2026
123
Variants
Model Inversion Attack
Parents
129
Trojaning Attack on Neural Networks
Yingqi Liu, Shiqing Ma, Yousra Aafer et al. · 2018 · 1.2K citations · Full text
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks
Yuheng Zhang, Ruoxi Jia, Hengzhi Pei et al. · 2020 · 414 citations
1–5 of 129
412
5
h-index
5
h-index
5
h-index
4
h-index
4
h-index
1–5 of 412
178
University of Technology Sydney
Sydney, Australia
4 h-index
10 publications
557 citations

City University of Macau
Macao, Macao
4 h-index
3 publications
159 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
4 h-index
6 publications
100 citations
Tsinghua University
Beijing, China
4 h-index
5 publications
532 citations
Institute of Information Engineering
Beijing, China
4 h-index
17 publications
657 citations
University of Oxford
Oxford, United Kingdom
3 h-index
3 publications
352 citations
Purdue University West Lafayette
West Lafayette, United States
3 h-index
10 publications
7.4K citations
University of Illinois Urbana-Champaign
Urbana, United States
3 h-index
3 publications
510 citations
1–8 of 178
Repository · 18 publications · 544 citations
15
h-index
3 publications · 222 citations
7
h-index
Conference · 4 publications · 228 citations
5
h-index
3 publications · 64 citations
4
h-index
3 publications · 135 citations
3
h-index
1–5