Pinned 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
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.
cpgd
This repository is the official implementation of https://arxiv.org/abs/2106.01538
dotfiles
Dotfiles
margin_maximization
Reference implementation of "Margin Maximization for Robust Classification using Deep Learning"
aam-at's Repositories
aam-at/adversary_critic
aam-at/cpgd
This repository is the official implementation of https://arxiv.org/abs/2106.01538
aam-at/dotfiles
Dotfiles
aam-at/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
aam-at/all-the-icons.el
A utility package to collect various Icon Fonts and propertize them within Emacs.
aam-at/auctex-latexmk
This library adds LatexMk support to AUCTeX.
aam-at/bashmarks
Directory bookmarks for the shell
aam-at/cifar10_challenge
A challenge to explore adversarial robustness of neural networks on CIFAR10.
aam-at/margin_maximization
Reference implementation of "Margin Maximization for Robust Classification using Deep Learning"
aam-at/cleverhans_tf2
A library for benchmarking vulnerability to adversarial examples (auto upgrade to tensorflow 2.0)
aam-at/cvat
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
aam-at/FeatureScatter
Feature Scattering Adversarial Training
aam-at/foolbox
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
aam-at/khoj
Your AI second brain. Get answers to your questions, whether they be online or in your own notes. Use online AI models (e.g gpt4) or private, local LLMs (e.g llama3). Self-host locally or use our cloud instance. Access from Obsidian, Emacs, Desktop app, Web or Whatsapp.
aam-at/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
aam-at/magit-gptcommit
Magit commit with help of gpt
aam-at/mnist_challenge
A challenge to explore adversarial robustness of neural networks on MNIST.
aam-at/org-roam-ui
A graphical frontend for exploring your org-roam Zettelkasten
aam-at/org-similarity
Emacs package that helps org-mode users (re)discover similar documents
aam-at/plugin-neobundle
plugin-vundle port to neobundle.
aam-at/robust_overfitting
aam-at/RobustMMLL
Machine Learning with Robustness
aam-at/RobustMMLL-demo
Demo software based on the RobustMMLL library
aam-at/spacemacs
A community-driven Emacs distribution - The best editor is neither Emacs nor Vim, it's Emacs *and* Vim!
aam-at/tensorflow
Computation using data flow graphs for scalable machine learning
aam-at/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.
aam-at/TRADES
TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)