Alexander Matyasko (aam-at)

aam-at

Geek Repo

Company:Singapore Institute of Technology

Location:Singapore

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Alexander Matyasko's repositories

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cpgd

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

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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

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all-the-icons.el

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

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auctex-latexmk

This library adds LatexMk support to AUCTeX.

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bashmarks

Directory bookmarks for the shell

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cifar10_challenge

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

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margin_maximization

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

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cleverhans_tf2

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

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FeatureScatter

Feature Scattering Adversarial Training

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foolbox

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

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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

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magit-gptcommit

Magit commit with help of gpt

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mnist_challenge

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

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org-roam-ui

A graphical frontend for exploring your org-roam Zettelkasten

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org-similarity

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

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plugin-neobundle

plugin-vundle port to neobundle.

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RobustMMLL

Machine Learning with Robustness

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RobustMMLL-demo

Demo software based on the RobustMMLL library

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spacemacs

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

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tensorflow

Computation using data flow graphs for scalable machine learning

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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.

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TRADES

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

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