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
Victoria 3 Mod featuring Burgundism and the Burgundist System
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
Code accompanying "Transmit and Receive Sensor Selection Using the Multiplicity in the Virtual Array" by Ids van der Werf, Costas A. Kokke, Richard Heusdens, Richard C. Hendriks, Geert Leus, and Mario Coutino
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) - Distributed Paillier
TNO PET Lab - secure Multi-Party Computation (MPC) - Protocols - Secure Comparison
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