Private Machine Learning in PyTorch with Crypten

The framework streamlines the use of secure multiparty computations in ML research.

Image Credit: Crypten

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In the last few years, security and privacy have become one of the hottest topics in machine learning(ML). Amonng the techniques in the private ML space, security multiparty computation(sMPC) has become a favorite of the ML community.

In computer science theory, sMPC is often seen as a solution to the famous Yao’s Millionaires’ Problem introduced in the 1980s by computer scientist Andrew Yao. The problem describes a setting in which multiple millionaires would like to knowing which of them is richer without disclosing their actual wealth. The millionaire’s problem is…