评估指标分类体系

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参考文献

Synthetic Data - What, Why and How?, Cohen, Adrian Weller, 2022 Foundations and Trends® in Machine Learning, Vol. 16 (Now Publishers) DOI: 10.48550/ARXIV.2205.03257 - 本调查全面概述了合成数据生成及其评估，涵盖了保真度、实用性和隐私方面。
Membership Inference Attacks Against Machine Learning Models, Reza Shokri, Marco Stronati, Congzheng Song, and Vitaly Shmatikov, 2017 2017 IEEE Symposium on Security and Privacy (SP) (IEEE) DOI: 10.1109/SP.2017.52 - 介绍了成员推理攻击，这是评估合成数据中数据泄露风险的关键隐私指标。
The Algorithmic Foundations of Differential Privacy, Cynthia Dwork and Aaron Roth, 2014 Foundations and Trends® in Theoretical Computer Science, Vol. 9 (Now Publishers) DOI: 10.1561/0400000042 - 本书介绍了差分隐私的理论基础和形式化保证，对理解隐私指标至关重要。