A Systematic Review of Privacy-Preserving Approaches in Deep Learning Applications

Summary

A systematic literature review categorizes privacy-preserving deep learning research from 2017 to May 2024, distinguishing between inference and training and between single and multiple data owners. The authors report that execution times are steadily decreasing, but defending models against privacy attacks still often reduces utility, such as accuracy.

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