Alexander Matyasko's repositories
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
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.
cifar10_challenge
A challenge to explore adversarial robustness of neural networks on CIFAR10.
margin_maximization
Reference implementation of "Margin Maximization for Robust Classification using Deep Learning"
cleverhans_tf2
A library for benchmarking vulnerability to adversarial examples (auto upgrade to tensorflow 2.0)
FeatureScatter
Feature Scattering Adversarial Training
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
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.
RobustMMLL
Machine Learning with Robustness
RobustMMLL-demo
Demo software based on the RobustMMLL library
tensorflow
Computation using data flow graphs for scalable machine learning
TRADES
TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)