Data Privacy and Trustworthy Machine Learning
arXiv:2209.06529 · doi:10.1109/MSEC.2022.3178187
Abstract
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).
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