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The Effect of Data Poisoning on Counterfactual Explanations
Counterfactual explanations provide a popular method for analyzing the predictions of black-box systems, and they can offer the opportunity for computational recourse by suggesting actionable changes on how to change the input to obtain a different (i. e. more favorable) system output.
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