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adversarial-robustness-toolbox

Python library for adversarial machine learning (evasion, extraction, poisoning, verification, certification) with attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support

adversary_critic

all-the-icons.el

A utility package to collect various Icon Fonts and propertize them within Emacs.

auctex-latexmk

This library adds LatexMk support to AUCTeX.

bashmarks

Directory bookmarks for the shell

cifar10_challenge

A challenge to explore adversarial robustness of neural networks on CIFAR10.

cleverhans_tf2

A library for benchmarking vulnerability to adversarial examples (auto upgrade to tensorflow 2.0)

cpgd

This repository is the official implementation of https://arxiv.org/abs/2106.01538

dotfiles

Dotfiles

featurescatter

Feature Scattering Adversarial Training

foolbox

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

linear-region-attack

A powerful white-box adversarial attack that exploits knowledge about the geometry of neural networks to find minimal adversarial perturbations without doing gradient descent

magit-gptcommit

Magit commit with help of gpt

margin_maximization

Reference implementation of "Margin Maximization for Robust Classification using Deep Learning"

mnist_challenge

A challenge to explore adversarial robustness of neural networks on MNIST.

org-roam-ui

A graphical frontend for exploring your org-roam Zettelkasten

org-similarity

Emacs package that helps org-mode users (re)discover similar documents

plugin-neobundle

plugin-vundle port to neobundle.

robust_overfitting

robustmmll

Machine Learning with Robustness

robustmmll-demo

Demo software based on the RobustMMLL library

spacemacs

A community-driven Emacs distribution - The best editor is neither Emacs nor Vim, it's Emacs *and* Vim!

tensorflow

Computation using data flow graphs for scalable machine learning

theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

trades

TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)