Differential privacy applied to the model or to counterfactual explanations reduces model extraction attack success on two tabular datasets, at the cost of lower accuracy and less useful explanations.
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On the interplay of Explainability, Privacy and Predictive Performance with Explanation-assisted Model Extraction
Differential privacy applied to the model or to counterfactual explanations reduces model extraction attack success on two tabular datasets, at the cost of lower accuracy and less useful explanations.