Evaluating Robustness of Counterfactual Explanations
Author:
Affiliation:
1. CITEC Bielefeld University,Bielefeld,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9659537/9659538/09660058.pdf?arnumber=9660058
Reference43 articles.
1. Interpretable counterfactual explanations guided by prototypes;looveren;CoRR,2019
2. Convex Density Constraints for Computing Plausible Counterfactual Explanations
3. Fairness through robustness:investigating robustness disparity in deep learning;nanda;FAccT’ 21 Conference on Fairness Accountability and Transparency,2021
4. On adversarial bias and the robustness of fair machine learning;chang;CoRR,2020
5. Robustness in machine learning explanations
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