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).
翻译:机器学习模型的隐私风险是就敏感数据和个人数据对其进行培训时的一个主要问题。 我们讨论了数据隐私与值得信赖的机器学习剩余目标(特别是公平、稳健和解释性)之间的权衡问题。