arXiv:2209.06529 [cs.LG]AbstractReferencesReviewsResources
Data Privacy and Trustworthy Machine Learning
Published 2022-09-14Version 1
The privacy risks of machine learning models is a major concern when training them on sensitive and personal data. We discuss the tradeoffs between data privacy and the remaining goals of trustworthy machine learning (notably, fairness, robustness, and explainability).
Comments: Copyright \copyright 2022, IEEE
Journal: Published in: IEEE Security & Privacy ( Volume: 20, Issue: 5, Sept.-Oct. 2022)
Keywords: trustworthy machine learning, data privacy, privacy risks, personal data, machine learning models
Tags: journal article
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