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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"

13 / 13 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
32
0
0
05 May 2025
Revealing Unintentional Information Leakage in Low-Dimensional Facial Portrait Representations
Kathleen Anderson
Thomas Martinetz
CVBM
73
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
56
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
46
19
0
16 Jul 2024
SoK: Unintended Interactions among Machine Learning Defenses and Risks
SoK: Unintended Interactions among Machine Learning Defenses and Risks
Vasisht Duddu
S. Szyller
Nadarajah Asokan
AAML
47
2
0
07 Dec 2023
AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks
  against Interpretable Models
AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Interpretable Models
Abdullah Çaglar Öksüz
Anisa Halimi
Erman Ayday
ELM
AAML
21
2
0
04 Feb 2023
Supervised Feature Compression based on Counterfactual Analysis
Supervised Feature Compression based on Counterfactual Analysis
V. Piccialli
Dolores Romero Morales
Cecilia Salvatore
CML
32
2
0
17 Nov 2022
Privacy Meets Explainability: A Comprehensive Impact Benchmark
Privacy Meets Explainability: A Comprehensive Impact Benchmark
S. Saifullah
Dominique Mercier
Adriano Lucieri
Andreas Dengel
Sheraz Ahmed
35
14
0
08 Nov 2022
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
26
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
34
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
29
21
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
24
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
73
25
0
27 Apr 2020
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