TNO PET Lab - Zero-Knowledge Proofs (ZKP) - Templates
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Updated
Dec 8, 2023 - Python
TNO PET Lab - Zero-Knowledge Proofs (ZKP) - Templates
TNO PET Lab - secure Multi-Party Computation (MPC) - MPyC - Matrix Inverse
TNO PET Lab - secure Multi-Party Computation (MPC) - Encryption Schemes - Shamir
TNO PET Lab - secure Multi-Party Computation (MPC) - Encryption Schemes - Templates
TNO PET Lab - secure Multi-Party Computation (MPC) - MPyC - Stubs
TNO PET Lab - Federated Learning (FL) - Protocols - Logistic Regression
TNO PET Lab - secure Multi-Party Computation (MPC) - Protocols - Secure Inner Join
TNO PET Lab - Federated Learning (FL) - Protocols - Cox Regression
TNO PET Lab - secure Multi-Party Computation (MPC) - Encryption Schemes - Utils
TNO PET Lab - secure Multi-Party Computation (MPC) - MPyC - Statistics
TNO PET Lab - secure Multi-Party Computation (MPC) - MPyC - Secure Exponentiation
TNO PET Lab - Synthetic Data Generation (SDG) - Graph - Generation - GraphBin
TNO PET Lab - secure Multi-Party Computation (MPC) - Encryption Schemes - DGK
TNO PET Lab - Synthetic Data Generation (SDG) - Tabular - Evaluation - Utility Metrics
TNO PET Lab - secure Multi-Party Computation (MPC) - Protocols - Kaplan-Meier
TNO PET Lab - secure Multi-Party Computation (MPC) - Encryption Schemes - Paillier
TNO PET Lab - secure Multi-Party Computation (MPC) - Protocols - Secure Comparison
TNO PET Lab - secure Multi-Party Computation (MPC) - MPyC - Secure Learning
TNO PET Lab - secure Multi-Party Computation (MPC) - Communication
TNO PET Lab - secure Multi-Party Computation (MPC) - Protocols - Secure Risk Propagation
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