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Feature-based Learning for Diverse and Privacy-Preserving Counterfactual Explanations

Feature-based Learning for Diverse and Privacy-Preserving Counterfactual Explanations

Vy Vo
Trung Le
Van Nguyen
He Zhao
Edwin V. Bonilla
Gholamreza Haffari
Dinh Q. Phung
    CML
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Papers citing "Feature-based Learning for Diverse and Privacy-Preserving Counterfactual Explanations"

6 / 6 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
29
0
0
05 May 2025
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook
Wenzhao Jiang
Hao Liu
Hui Xiong
CML
AI4CE
38
2
0
19 Dec 2023
BELLA: Black box model Explanations by Local Linear Approximations
BELLA: Black box model Explanations by Local Linear Approximations
N. Radulovic
Albert Bifet
Fabian M. Suchanek
FAtt
29
1
0
18 May 2023
Statement-Level Vulnerability Detection: Learning Vulnerability Patterns Through Information Theory and Contrastive Learning
Statement-Level Vulnerability Detection: Learning Vulnerability Patterns Through Information Theory and Contrastive Learning
Van Nguyen
Trung Le
C. Tantithamthavorn
Michael Fu
John C. Grundy
Hung Nguyen
S. Çamtepe
Paul Quirk
Dinh Q. Phung
39
4
0
20 Sep 2022
Counterfactual Plans under Distributional Ambiguity
Counterfactual Plans under Distributional Ambiguity
N. Bui
D. Nguyen
Viet Anh Nguyen
54
24
0
29 Jan 2022
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
160
1,122
0
25 Jul 2012