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GAMIN: An Adversarial Approach to Black-Box Model Inversion

GAMIN: An Adversarial Approach to Black-Box Model Inversion

26 September 2019
Ulrich Aivodji
Sébastien Gambs
Timon Ther
    MLAU
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Papers citing "GAMIN: An Adversarial Approach to Black-Box Model Inversion"

5 / 5 papers shown
Title
Model Inversion Attacks against Graph Neural Networks
Model Inversion Attacks against Graph Neural Networks
Zaixin Zhang
Qi Liu
Zhenya Huang
Hao Wang
Cheekong Lee
Enhong
AAML
15
35
0
16 Sep 2022
Label-Only Model Inversion Attacks via Boundary Repulsion
Label-Only Model Inversion Attacks via Boundary Repulsion
Mostafa Kahla
Si-An Chen
H. Just
R. Jia
30
74
0
03 Mar 2022
Are Your Sensitive Attributes Private? Novel Model Inversion Attribute
  Inference Attacks on Classification Models
Are Your Sensitive Attributes Private? Novel Model Inversion Attribute Inference Attacks on Classification Models
Shagufta Mehnaz
S. V. Dibbo
Ehsanul Kabir
Ninghui Li
E. Bertino
MIACV
29
60
0
23 Jan 2022
GraphMI: Extracting Private Graph Data from Graph Neural Networks
GraphMI: Extracting Private Graph Data from Graph Neural Networks
Zaixi Zhang
Qi Liu
Zhenya Huang
Hao Wang
Chengqiang Lu
Chuanren Liu
Enhong Chen
17
68
0
05 Jun 2021
The Power of Linear Reconstruction Attacks
The Power of Linear Reconstruction Attacks
S. Kasiviswanathan
M. Rudelson
Adam D. Smith
AAML
57
54
0
08 Oct 2012
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