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How can we fool LIME and SHAP? Adversarial Attacks on Post hoc Explanation Methods

, , , , and . (2019)cite arxiv:1911.02508.

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Learning Representations by Humans, for Humans., , , , and . CoRR, (2019)Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods., , , , and . AIES, page 180-186. ACM, (2020)Feature Attributions and Counterfactual Explanations Can Be Manipulated., , , and . CoRR, (2021)Counterfactual Explanations Can Be Manipulated., , , and . CoRR, (2021)Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring., , and . AIES, page 989-999. ACM, (2021)How can we fool LIME and SHAP? Adversarial Attacks on Post hoc Explanation Methods, , , , and . (2019)cite arxiv:1911.02508.From Predictions to Decisions: Using Lookahead Regularization., , , and . NeurIPS, (2020)Learning Representations by Humans, for Humans., , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 4227-4238. PMLR, (2021)Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn., , , , , , , , , and 1 other author(s). CIDR, www.cidrdb.org, (2019)Do Explanations Increase the Effectiveness of AI-Crowd Generated Fake News Warnings?, , , , , and . ICWSM, page 183-193. AAAI Press, (2022)