Collateral Learning - Functional Encryption and Adversarial Training on partially encrypted networks
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Updated
Jul 25, 2024 - Jupyter Notebook
Collateral Learning - Functional Encryption and Adversarial Training on partially encrypted networks
A lightweight Key-Policy Attribute-Based Encryption scheme in C++
Functional encryption library for python
Python implementation of some existing functional encryption schemes for the inner product functionality
Celestia proxy service enabling Private Blockspace
Implementation of Few Interesting Functional Encryption Schemes
PyFE4AI is a research-oriented Python library for functional encryption in trustworthy AI systems.
A collection of research and survey papers of differential privacy and federated learning
The True Blue Goddess System of Cryptography
GPU-accelerated functional encryption with CUDA BSGS and validated MNIST benchmarks.
GPU-accelerated functional encryption with CUDA BSGS and validated MNIST benchmarks.
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A Pythonic-Sage implementation of the Ciphertext Updatable Functional Encryption (CUFE) scheme based on works of Valerio Cini et al
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Python proof of concept implementation of the SPADE Functional encryption scheme.
Inner product functional encryption schemes implemented with the RELIC library.
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