A Privacy-Preserving Framework Based on TensorFlow
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Updated
Apr 26, 2022 - C++
A Privacy-Preserving Framework Based on TensorFlow
Implementation of protocols in SecureNN.
Piranha: A GPU Platform for Secure Computation
Implementation of protocols in Falcon
Privacy Preserving Convolutional Neural Network using Homomorphic Encryption for secure inference
Secure Linear Regression in the Semi-Honest Two-Party Setting.
Crypto-Convolutional Neural Network library written on top of SEAL 2.3.1
[ECCV 2022] Official pytorch implementation of the paper "FedVLN: Privacy-preserving Federated Vision-and-Language Navigation"
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).
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”.
Privacy Preserving Neural Networks (PPNN): Repo for Capstone Project at Ashoka
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