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Improving Robustness to Model Inversion Attacks via Mutual Information
  Regularization

Improving Robustness to Model Inversion Attacks via Mutual Information Regularization

11 September 2020
Tianhao Wang
Yuheng Zhang
R. Jia
ArXivPDFHTML

Papers citing "Improving Robustness to Model Inversion Attacks via Mutual Information Regularization"

6 / 6 papers shown
Title
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems
Song Xia
Yi Yu
Wenhan Yang
Meiwen Ding
Zhuo Chen
Lingyu Duan
Alex C. Kot
Xudong Jiang
56
2
0
01 Mar 2025
Introducing Model Inversion Attacks on Automatic Speaker Recognition
Introducing Model Inversion Attacks on Automatic Speaker Recognition
Karla Pizzi
Franziska Boenisch
U. Sahin
Konstantin Böttinger
18
3
0
09 Jan 2023
Mutual Information Regularization for Vertical Federated Learning
Mutual Information Regularization for Vertical Federated Learning
Tianyuan Zou
Yang Liu
Ya-Qin Zhang
AAML
FedML
24
7
0
01 Jan 2023
SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference
  Privacy in Machine Learning
SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning
A. Salem
Giovanni Cherubin
David E. Evans
Boris Köpf
Andrew J. Paverd
Anshuman Suri
Shruti Tople
Santiago Zanella Béguelin
44
35
0
21 Dec 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
Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning
Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning
Xinjian Luo
Xiangqi Zhu
FedML
62
25
0
27 Apr 2020
1