A unified framework for privacy-preserving data analysis and machine learning
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Updated
Dec 24, 2024 - Python
A unified framework for privacy-preserving data analysis and machine learning
MPC-TSS is a project to demonstrate the working of our threshold signature scheme leveraging the security of X1 hardware wallet
A platform that enables users to perform private benchmarking of machine learning models. The platform facilitates the evaluation of models based on different trust levels between the model owners and the dataset owners.
Privacy enhancing technologies (PETs) playground.
Complete RISC-V toolchain to evaluate physically isolated enclaves
A key server and web based builder for Trusted Capsules
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