Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning
@article{Angelou2020AsymmetricPS, title={Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning}, author={Nick Angelou and Ayoub Benaissa and Bogdan Cebere and William Clark and Adam James Hall and Michael A. Hoeh and Daniel Liu and Pavlos Papadopoulos and Robin Roehm and Robert Sandmann and Phillipp Schoppmann and Tom Titcombe}, journal={ArXiv}, year={2020}, volume={abs/2011.09350} }
We present a multi-language, cross-platform, open-source library for asymmetric private set intersection (PSI) and PSI-Cardinality (PSI-C). Our protocol combines traditional DDH-based PSI and PSI-C protocols with compression based on Bloom filters that helps reduce communication in the asymmetric setting. Currently, our library supports C++, C, Go, WebAssembly, JavaScript, Python, and Rust, and runs on both traditional hardware (x86) and browser targets. We further apply our library to two use…
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