FooBaR: Fault Fooling Backdoor Attack on Neural Network Training

Code from the IEEE TDSC 2022 paper

There are 2 jupyter notebooks:

MLP.ipynb corresponds to the simulation on faulting a multi-layer perceptron.

CNN.ipynb corresponds to the simulation of faulting a convolutional-layer neural network.

To run using docker-compose:

docker-compose up

When not using the docker image , ann important prerequisite for constraint solving is to install SageMath, see:

https://doc.sagemath.org/html/en/installation/index.html

BibTex:

@article{foobar2022,
title={FooBaR: Fault Fooling Backdoor Attack on Neural Network Training},
author={Jakub Breier, Xiaolu Hou, Martín Ochoa and Jesus Solano},
journal={Transactions on Dependable and Secure Computing},
year={2022},
publisher={IEEE}
}