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Exploiting Explanations for Model Inversion Attacks

Exploiting Explanations for Model Inversion Attacks

26 April 2021
Xu Zhao
Wencan Zhang
Xiao Xiao
Brian Y. Lim
    MIACV
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Papers citing "Exploiting Explanations for Model Inversion Attacks"

9 / 9 papers shown
Title
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review
Sonal Allana
Mohan Kankanhalli
Rozita Dara
27
0
0
05 May 2025
Revealing Unintentional Information Leakage in Low-Dimensional Facial Portrait Representations
Kathleen Anderson
Thomas Martinetz
CVBM
68
0
0
12 Mar 2025
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
54
2
0
01 Mar 2025
Feature Inference Attack on Shapley Values
Feature Inference Attack on Shapley Values
Xinjian Luo
Yangfan Jiang
X. Xiao
AAML
FAtt
30
19
0
16 Jul 2024
On the utility and protection of optimization with differential privacy
  and classic regularization techniques
On the utility and protection of optimization with differential privacy and classic regularization techniques
Eugenio Lomurno
Matteo matteucci
10
9
0
07 Sep 2022
SoK: Explainable Machine Learning for Computer Security Applications
SoK: Explainable Machine Learning for Computer Security Applications
A. Nadeem
D. Vos
Clinton Cao
Luca Pajola
Simon Dieck
Robert Baumgartner
S. Verwer
29
40
0
22 Aug 2022
A Survey on Privacy for B5G/6G: New Privacy Challenges, and Research
  Directions
A Survey on Privacy for B5G/6G: New Privacy Challenges, and Research Directions
Chamara Sandeepa
Bartlomiej Siniarski
N. Kourtellis
Shen Wang
Madhusanka Liyanage
27
20
0
08 Mar 2022
Debiased-CAM to mitigate image perturbations with faithful visual
  explanations of machine learning
Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning
Wencan Zhang
Mariella Dimiccoli
Brian Y. Lim
FAtt
16
18
0
10 Dec 2020
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
60
25
0
27 Apr 2020
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