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2009.01884
Cited By
Model extraction from counterfactual explanations
3 September 2020
Ulrich Aïvodji
Alexandre Bolot
Sébastien Gambs
MIACV
MLAU
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Papers citing
"Model extraction from counterfactual explanations"
39 / 39 papers shown
What If, But Privately: Private Counterfactual Retrieval
S. Meel
M. Nomeir
Pasan Dissanayake
Sanghamitra Dutta
S. Ulukus
142
1
0
05 Aug 2025
DiCoFlex: Model-agnostic diverse counterfactuals with flexible control
Oleksii Furman
Ulvi Movsum-zada
Patryk Marszalek
Maciej Ziȩba
Marek Śmieja
BDL
418
0
0
29 May 2025
On the interplay of Explainability, Privacy and Predictive Performance with Explanation-assisted Model Extraction
Fatima Ezzeddine
Rinad Akel
Ihab Sbeity
Silvia Giordano
Marc Langheinrich
Omran Ayoub
SILM
225
0
0
13 May 2025
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review
Sonal Allana
Mohan Kankanhalli
Rozita Dara
370
3
0
05 May 2025
Beware of "Explanations" of AI
David Martens
Galit Shmueli
Theodoros Evgeniou
Kevin Bauer
Christian Janiesch
...
Claudia Perlich
Wouter Verbeke
Alona Zharova
Patrick Zschech
F. Provost
343
4
0
09 Apr 2025
From Counterfactuals to Trees: Competitive Analysis of Model Extraction Attacks
Awa Khouna
Julien Ferry
Thibaut Vidal
AAML
290
0
0
07 Feb 2025
Private Counterfactual Retrieval
M. Nomeir
Pasan Dissanayake
S. Meel
Sanghamitra Dutta
S. Ulukus
191
1
0
17 Oct 2024
Feature Inference Attack on Shapley Values
Xinjian Luo
Yangfan Jiang
X. Xiao
AAML
FAtt
299
33
0
16 Jul 2024
A Survey on Natural Language Counterfactual Generation
Yongjie Wang
Xiaoqi Qiu
Yu Yue
Xu Guo
Zhiwei Zeng
Yuhong Feng
Zhiqi Shen
254
22
0
04 Jul 2024
Privacy Implications of Explainable AI in Data-Driven Systems
Fatima Ezzeddine
190
5
0
22 Jun 2024
AI Risk Management Should Incorporate Both Safety and Security
Xiangyu Qi
Yangsibo Huang
Yi Zeng
Edoardo Debenedetti
Jonas Geiping
...
Chaowei Xiao
Yue Liu
Dawn Song
Peter Henderson
Prateek Mittal
AAML
272
20
0
29 May 2024
Watermarking Counterfactual Explanations
Hangzhi Guo
Amulya Yadav
AAML
222
0
0
29 May 2024
Towards a Game-theoretic Understanding of Explanation-based Membership Inference Attacks
Decision and Game Theory for Security (GameSec), 2024
Kavita Kumari
Murtuza Jadliwala
S. Jha
Anindya Maiti
222
3
0
10 Apr 2024
Knowledge Distillation-Based Model Extraction Attack using Private Counterfactual Explanations
Fatima Ezzeddine
Omran Ayoub
Silvia Giordano
AAML
MIACV
345
0
0
04 Apr 2024
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures
Thanh Tam Nguyen
T. T. Huynh
Zhao Ren
Thanh Toan Nguyen
Phi Le Nguyen
Hongzhi Yin
Quoc Viet Hung Nguyen
448
12
0
31 Mar 2024
SoK: Taming the Triangle -- On the Interplays between Fairness, Interpretability and Privacy in Machine Learning
Julien Ferry
Ulrich Aïvodji
Sébastien Gambs
Marie-José Huguet
Mohamed Siala
FaML
285
7
0
22 Dec 2023
Model Extraction Attacks Revisited
ACM Asia Conference on Computer and Communications Security (AsiaCCS), 2023
Jiacheng Liang
Ren Pang
Changjiang Li
Ting Wang
MIACV
MLAU
375
25
0
08 Dec 2023
SoK: Unintended Interactions among Machine Learning Defenses and Risks
Vasisht Duddu
S. Szyller
Nadarajah Asokan
AAML
380
6
0
07 Dec 2023
Generative Explanations for Graph Neural Network: Methods and Evaluations
Jialin Chen
Kenza Amara
Junchi Yu
Rex Ying
232
5
0
09 Nov 2023
Accurate, Explainable, and Private Models: Providing Recourse While Minimizing Training Data Leakage
Catherine Huang
Chelse Swoopes
Christina Xiao
Jiaqi Ma
Himabindu Lakkaraju
129
5
0
08 Aug 2023
Unveiling the Potential of Counterfactuals Explanations in Employability
Raphael Mazzine Barbosa de Oliveira
S. Goethals
Dieter Brughmans
David Martens
191
2
0
17 May 2023
Unstructured and structured data: Can we have the best of both worlds with large language models?
IEEE Data Engineering Bulletin (IEEE Data Eng. Bull.), 2023
W. Tan
270
2
0
25 Apr 2023
AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Interpretable Models
Proceedings on Privacy Enhancing Technologies (PoPETs), 2023
Abdullah Çaglar Öksüz
Anisa Halimi
Erman Ayday
ELM
AAML
272
7
0
04 Feb 2023
Tensions Between the Proxies of Human Values in AI
Teresa Datta
D. Nissani
Max Cembalest
Akash Khanna
Haley Massa
John P. Dickerson
212
4
0
14 Dec 2022
Supervised Feature Compression based on Counterfactual Analysis
European Journal of Operational Research (EJOR), 2022
V. Piccialli
Dolores Romero Morales
Cecilia Salvatore
CML
260
2
0
17 Nov 2022
On the Privacy Risks of Algorithmic Recourse
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Martin Pawelczyk
Himabindu Lakkaraju
Seth Neel
168
38
0
10 Nov 2022
The privacy issue of counterfactual explanations: explanation linkage attacks
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022
S. Goethals
Kenneth Sörensen
David Martens
134
34
0
21 Oct 2022
Feature-based Learning for Diverse and Privacy-Preserving Counterfactual Explanations
Knowledge Discovery and Data Mining (KDD), 2022
Vy Vo
Trung Le
Van Nguyen
He Zhao
Edwin V. Bonilla
Gholamreza Haffari
Dinh Q. Phung
CML
280
15
0
27 Sep 2022
Inferring Sensitive Attributes from Model Explanations
International Conference on Information and Knowledge Management (CIKM), 2022
Vasisht Duddu
A. Boutet
MIACV
SILM
258
24
0
21 Aug 2022
Differentially Private Counterfactuals via Functional Mechanism
Fan Yang
Qizhang Feng
Kaixiong Zhou
Jiahao Chen
Helen Zhou
152
15
0
04 Aug 2022
I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences
ACM Computing Surveys (ACM CSUR), 2022
Daryna Oliynyk
Rudolf Mayer
Andreas Rauber
327
144
0
16 Jun 2022
DualCF: Efficient Model Extraction Attack from Counterfactual Explanations
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Yongjie Wang
Hangwei Qian
Chunyan Miao
AAML
165
41
0
13 May 2022
EG-Booster: Explanation-Guided Booster of ML Evasion Attacks
Conference on Data and Application Security and Privacy (CODASPY), 2021
Abderrahmen Amich
Birhanu Eshete
AAML
147
10
0
31 Aug 2021
Seven challenges for harmonizing explainability requirements
Jiahao Chen
Victor Storchan
186
9
0
11 Aug 2021
MEGEX: Data-Free Model Extraction Attack against Gradient-Based Explainable AI
T. Miura
Satoshi Hasegawa
Toshiki Shibahara
SILM
MIACV
202
53
0
19 Jul 2021
Characterizing the risk of fairwashing
Neural Information Processing Systems (NeurIPS), 2021
Ulrich Aïvodji
Hiromi Arai
Sébastien Gambs
Satoshi Hara
257
31
0
14 Jun 2021
Exploiting Explanations for Model Inversion Attacks
IEEE International Conference on Computer Vision (ICCV), 2021
Xu Zhao
Wencan Zhang
Xiao Xiao
Brian Y. Lim
MIACV
326
104
0
26 Apr 2021
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review
ACM Computing Surveys (ACM CSUR), 2020
Sahil Verma
Varich Boonsanong
Minh Hoang
Keegan E. Hines
John P. Dickerson
Chirag Shah
CML
703
247
0
20 Oct 2020
A survey of algorithmic recourse: definitions, formulations, solutions, and prospects
Amir-Hossein Karimi
Gilles Barthe
Bernhard Schölkopf
Isabel Valera
FaML
346
184
0
08 Oct 2020
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