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Hao Chen's Projects

aby icon aby

ABY - A Framework for Efficient Mixed-protocol Secure Two-party Computation

concrete icon concrete

Concrete Operates oN Ciphertexts Rapidly by Extending TfhE

crypten icon crypten

A framework for Privacy Preserving Machine Learning

eigen-mpc icon eigen-mpc

privacy preserving eigenvalue decomposition

fbpcf icon fbpcf

Private computation framework library allows developers to perform randomized controlled trials, without leaking information about who participated or what action an individual took. It uses secure multiparty computation to guarantee this privacy. It is suitable for conducting A/B testing, or measuring advertising lift and learning the aggregate statistics without sharing information on the individual level.

fbpcs icon fbpcs

FBPCS (Facebook Private Computation Solutions) leverages secure multi-party computation (MPC) to output aggregated data without making unencrypted, readable data available to the other party or any third parties. Facebook provides impression & opportunity data, and the advertiser provides conversion / outcome data. Both parties have dedicated cloud computing instances living on separate Virtual Private Clouds (VPCs) that are connected to allow network communication. The FBPMP products that have been implemented are Private Lift and Private Attribution. It’s expected that more products will be implemented and added to the Private Measurement suite.

haochenuw.github.io icon haochenuw.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

linreg-mpc icon linreg-mpc

A Secure Multiparty Computation (MPC) protocol for computing linear regression on vertically distributed datasets

opaque-ke icon opaque-ke

An implementation of the OPAQUE password-authenticated key exchange protocol

qexpansion icon qexpansion

Computation of q-expansions of newforms attached to elliptic curves at arbitrary cusps.

rust-cpace icon rust-cpace

A Rust implementation of CPace, a balanced PAKE.

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