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Model extraction from counterfactual explanations

Model extraction from counterfactual explanations

3 September 2020
Ulrich Aïvodji
Alexandre Bolot
Sébastien Gambs
    MIACV
    MLAU
ArXivPDFHTML

Papers citing "Model extraction from counterfactual explanations"

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
Feature Inference Attack on Shapley Values
Feature Inference Attack on Shapley Values
Xinjian Luo
Yangfan Jiang
X. Xiao
AAML
FAtt
43
19
0
16 Jul 2024
Unstructured and structured data: Can we have the best of both worlds
  with large language models?
Unstructured and structured data: Can we have the best of both worlds with large language models?
W. Tan
18
1
0
25 Apr 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
Tensions Between the Proxies of Human Values in AI
Tensions Between the Proxies of Human Values in AI
Teresa Datta
D. Nissani
Max Cembalest
Akash Khanna
Haley Massa
John P. Dickerson
34
2
0
14 Dec 2022
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
Differentially Private Counterfactuals via Functional Mechanism
Differentially Private Counterfactuals via Functional Mechanism
Fan Yang
Qizhang Feng
Kaixiong Zhou
Jiahao Chen
Xia Hu
24
8
0
04 Aug 2022
I Know What You Trained Last Summer: A Survey on Stealing Machine
  Learning Models and Defences
I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences
Daryna Oliynyk
Rudolf Mayer
Andreas Rauber
39
106
0
16 Jun 2022
MEGEX: Data-Free Model Extraction Attack against Gradient-Based
  Explainable AI
MEGEX: Data-Free Model Extraction Attack against Gradient-Based Explainable AI
T. Miura
Satoshi Hasegawa
Toshiki Shibahara
SILM
MIACV
18
37
0
19 Jul 2021
Characterizing the risk of fairwashing
Characterizing the risk of fairwashing
Ulrich Aïvodji
Hiromi Arai
Sébastien Gambs
Satoshi Hara
23
27
0
14 Jun 2021
Exploiting Explanations for Model Inversion Attacks
Exploiting Explanations for Model Inversion Attacks
Xu Zhao
Wencan Zhang
Xiao Xiao
Brian Y. Lim
MIACV
21
82
0
26 Apr 2021
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,238
0
24 Jun 2017
Learning Certifiably Optimal Rule Lists for Categorical Data
Learning Certifiably Optimal Rule Lists for Categorical Data
E. Angelino
Nicholas Larus-Stone
Daniel Alabi
Margo Seltzer
Cynthia Rudin
57
195
0
06 Apr 2017
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