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06/22/2022
OpenXAI: Towards a Transparent Evaluation of Model Explanations
While several types of post hoc explanation methods (e.g., feature attri...
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06/02/2022
Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations
Despite the plethora of post hoc model explanation methods, the basic pr...
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06/18/2021
On the Connections between Counterfactual Explanations and Adversarial Examples
Counterfactual explanations and adversarial examples have emerged as cri...
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11/12/2020
Ensuring Actionable Recourse via Adversarial Training
As machine learning models are increasingly deployed in high-stakes doma...
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08/11/2020
How Much Should I Trust You? Modeling Uncertainty of Black Box Explanations
As local explanations of black box models are increasingly being employe...
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06/14/2020
