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AESPA: Accuracy Preserving Low-degree Polynomial Activation for Fast Private Inference
[article]
2022
arXiv
pre-print
Hybrid private inference (PI) protocol, which synergistically utilizes both multi-party computation (MPC) and homomorphic encryption, is one of the most prominent techniques for PI. However, even the state-of-the-art PI protocols are bottlenecked by the non-linear layers, especially the activation functions. Although a standard non-linear activation function can generate higher model accuracy, it must be processed via a costly garbled-circuit MPC primitive. A polynomial activation can be
arXiv:2201.06699v2
fatcat:7lzbejka35a2hopzghgyaigwfq