4.7 Article

Optimal Accuracy-Privacy Trade-Off of Inference as Service

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Proceedings Paper Acoustics

PRIVACY-ACCURACY TRADE-OFF OF INFERENCE AS SERVICE

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Summary: This paper proposes a general framework to achieve a desirable trade-off between inference accuracy and privacy protection in the inference as service scenario, by preprocessing data through a privacy-preserving mapping to enhance privacy protection while reducing inference accuracy. An optimization problem is formulated to find the optimal privacy-preserving mapping, and an iterative algorithm is developed to obtain the desired privacy-preserving mapping by-characterizing nice structures of the problem.

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