Stars
A highly efficient implementation of Gaussian Processes in PyTorch
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"
Code repository of the paper "Alleviating Adversarial Attacks on Variational Autoencoders with MCMC" published at NeurIPS 2022. https://arxiv.org/abs/2203.09940
Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples" & "Fixing Data Augmentation to Improve Adversarial Robustn…
PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"
PyTorch implementation of adversarial attacks [torchattacks]
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)
A Toolbox for Adversarial Robustness Research
A framework for selection of prototypes using optimal transport theory
Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
An awesome & curated list of anything that might be useful for computer science students
Official Implementation of AlignMixup - CVPR 2022
Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks
Official code for "Mean Shift for Self-Supervised Learning"
A Collection of Variational Autoencoders (VAE) in PyTorch.
Python library for adversarial machine learning, attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multipl…
LightningFSL: Pytorch-Lightning implementations of Few-Shot Learning models.
MNIST Binary Classification using Pytorch
A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.
Convolutional 2D Knowledge Graph Embeddings resources