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    • Machine Learning Retrospective, 2021

Day: June 7, 2022

Model Explanations with Differential Privacy

Posted: June 07, 2022 Under: EQUATE Privacy Transparency By Neel Patel, Reza Shokri, and Yair Zick

Full Abstract: Black-box machine learning models are used in critical decision-making domains, giving rise to several calls for more algorithmic transparency. The drawback is that model explanations can leak information about the data used to generate them, thus undermining data privacy. To address this issue, we propose differentially private algorithms to construct feature-based model explanations. … Continue reading "Model Explanations with Differential Privacy"

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