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adv-eval-paper

LaTeX source for the paper "On Evaluating Adversarial Robustness"

adv_ecg

Code for Deep learning models for electrocardiograms are susceptible to adversarial attack

adv_gan_keras

Keras implementation of AdvGAN by Xiao et al. (2018) https://arxiv.org/abs/1801.02610

adversarial-attacks-pytorch

PyTorch implementation of adversarial attacks.

advgan-tf

Tensorflow implementation of Generating Adversarial Examples with Adversarial Networks

advgan_pytorch

a Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).

advgan_tf2

aigan

Attack-Inspired GAN - unofficial pytorch implementation

al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

audio-adv-papers

A curated list of awesome audio adversarial examples papers(with code & demo if available).

audio_adversarial_examples

Targeted Adversarial Examples on Speech-to-Text systems

autograder_samples

Examples of autograders for running on Gradescope

bngabonziza.github.io

breaking_efficient_defenses

Code to reproduce and break the "Efficient Defenses" paper

captchagan

cc-wgan-gp

Repo: IEEE TNSRE Article "Modeling EEG data distribution with a Wasserstein Generative Adversarial Network (WGAN) to predict RSVP Events" - Keras implementation

class-projects

clever-robustness-score

Codes for reproducing the robustness evaluation scores in “Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach,” ICLR 2018 ​​​​​​​

convert-own-data-to-mnist-format

This project is convert own data to MNIST format. It may help you to quickly test new DL model without modify too much code.

d2gan

Double Discriminator GAN

devil-whisper-attack

Devil-Whisper-Attack

eegadversary

This is a toolbox to construct adversarial examples of EEG signals. The traditional EEG extraction methods and classifiers are re-implemented in Tensorflow.

fast_adversarial

[ICLR 2020] A repository for extremely fast adversarial training using FGSM

friendly-adversarial-training

Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)

hackerrank

Hackerrank solutions for algorithms, data structures, functional programming and mathematics

handbook_codes

A C++ repository for Competitive Programmer's Handbook by Antti Laaksonen

hikeymod

ijcnn19attacks

Adversarial Attacks on Deep Neural Networks for Time Series Classification

imbalanced-data-with-smote-techniques

This repository contains implementation of some techniques like SMOTE, ADASYN, SMOTE + Tomek Links, SMOTE + ENN to overcome class imbalance in a binary classification problem.

imx-optee-os