Skip to content

Source code of "David and Goliath: An Empirical Evaluation of Attacks and Defenses for QNNs at the Deep Edge"

Notifications You must be signed in to change notification settings

MiguelCosta94/QNN-Adversarial-Robustness

Repository files navigation

QNN-Adversarial-Robustness

This repository allows the reproducibility of the results associated with the paper "David and Goliath: An Empirical Evaluation of Attacks and Defenses for QNNs at the Deep Edge".

Directory Structure

Directory Content
/QNN-Attacks Scripts to attack and evaluate adversarial robustness of ANNs/QNNs
/QNN-Defenses Scripts to add defense mechanisms to ANNs/QNNs
/download-datasets.sh Download CIFAR-10 and VWW Datasets

Link to Coffee Dataset

https://mega.nz/file/ufg2jISB#CA1ssv9fUozs3_dsfDz4PI8fNE0K-_eXYb9Uf79ShIU

Requirements

  • Python 3.9.18
  • TensorFlow 2.13.0
  • Remaining requirements are listed in requirements.txt

Help and Support

Communication

About

Source code of "David and Goliath: An Empirical Evaluation of Attacks and Defenses for QNNs at the Deep Edge"

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published