论文标题

数据隐私和值得信赖的机器学习

Data Privacy and Trustworthy Machine Learning

论文作者

Strobel, Martin, Shokri, Reza

论文摘要

当培训敏感和个人数据时,机器学习模型的隐私风险是一个主要问题。我们讨论了数据隐私与值得信赖的机器学习(尤其是公平,鲁棒性和解释性)之间的权衡。

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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