Extension of the MOTION2NX framework to implement neural network inferencing task where the data is supplied to the “secure compute servers” by the “data providers”.
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Updated
Aug 27, 2024 - C++
Extension of the MOTION2NX framework to implement neural network inferencing task where the data is supplied to the “secure compute servers” by the “data providers”.
Implementation of protocols in Falcon
Piranha: A GPU Platform for Secure Computation
Privacy Preserving Neural Networks (PPNN): Repo for Capstone Project at Ashoka
[ECCV 2022] Official pytorch implementation of the paper "FedVLN: Privacy-preserving Federated Vision-and-Language Navigation"
Implementation of protocols in SecureNN.
A Privacy-Preserving Framework Based on TensorFlow
A port of the tensorflow-lite for microcontrollers framework to Intel's SGX Framework. Designed to simplify research of privacy preserving machine learning in the context of trusted execution environments (TEEs).
Privacy Preserving Convolutional Neural Network using Homomorphic Encryption for secure inference
Crypto-Convolutional Neural Network library written on top of SEAL 2.3.1
Secure Linear Regression in the Semi-Honest Two-Party Setting.
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