[Resource Topic] 2023/1219: A Note on “Secure Quantized Training for Deep Learning”

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A Note on “Secure Quantized Training for Deep Learning”

Authors: Marcel Keller, Ke Sun


Keller and Sun (ICML’22) have found a gap in the accuracy between floating-point deep learning in cleartext and secure quantized deep learning using multi-party computation. We have discovered that this gap is caused by a bug in the implementation of max-pooling. In this note, we present updated figures to support this conclusion. We also add figures for another network on CIFAR-10.

ePrint: https://eprint.iacr.org/2023/1219

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