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Privacy Preserving Neural Networks (PPNN): Repo for Capstone Project at Ashoka

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datasets
datasets
 
 
notebooks
notebooks
 
 
.gitignore
.gitignore
 
 
Makefile
Makefile
 
 
README.md
README.md
 
 
bb
bb
 
 
bb.cpp
bb.cpp
 
 
define.hpp
define.hpp
 
 
neural_network.cpp
neural_network.cpp
 
 
neural_network.hpp
neural_network.hpp
 
 
nn.cpp
nn.cpp
 
 
read_data.cpp
read_data.cpp
 
 
read_data.hpp
read_data.hpp
 
 
test
test
 
 
test.cpp
test.cpp
 
 
utils.cpp
utils.cpp
 
 
utils.hpp
utils.hpp
 
 

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Implementation Details for Capstone Project:

Dependencies

  • Eigen

Execution

git clone https://github.com/kubershahi/ashoka-capstone.git
make nn         // for Neural Network
make bb         // for SecureNN building blocks

Scratch Neural Network Implementation:

  • Neural Network with ReLU and Softmax
  • Total of 2 Layers: one hidden layer with 256 neurons and one output layer with 10 neurons for MNIST dataset

SecureNN Building Blocks

  • Mapping and Reverse Mapping
  • Truncation
  • Secret Sharing
  • Matrix Multiplication (Beaver's Triplet)
  • Private Compare

SecureNN Paper: https://eprint.iacr.org/2018/442.pdf

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Privacy Preserving Neural Networks (PPNN): Repo for Capstone Project at Ashoka

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machine-learning neural-network eigen cpp11 privacy-preserving-machine-learning secureml securenn

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