lironghuo

lironghuo's Stars

• AntixK/PyTorch-VAE

  A Collection of Variational Autoencoders (VAE) in PyTorch.

  Language:Python6.6k43851.1k

• Trusted-AI/adversarial-robustness-toolbox

  Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

  Language:Python4.8k988861.2k

• cornellius-gp/gpytorch

  A highly efficient implementation of Gaussian Processes in PyTorch

  Language:Python3.6k581.3k560

• SheffieldML/GPy

  Gaussian processes framework in python

  Language:Python2k113766562

• Harry24k/adversarial-attacks-pytorch

  PyTorch implementation of adversarial attacks [torchattacks]

  Language:Python1.9k19146350

• BorealisAI/advertorch

  A Toolbox for Adversarial Robustness Research

  Language:Jupyter Notebook1.3k2758197

• SMILELab-FL/FedLab

  A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.

  Language:Jupyter Notebook7301060127

• TimDettmers/ConvE

  Convolutional 2D Knowledge Graph Embeddings resources

  Language:Python6741982163

• fra31/auto-attack

  Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

  Language:Python655968112

• salesforce/PCL

  PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"

  Language:Python571172583

• SCLBD/BackdoorBench

  Language:Jupyter Notebook40554069

• LTS4/universal

  Language:Matlab23991294

• csdongxian/AWP

  Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"

  Language:Python1703419

• HuStanding/ml

  Language:Jupyter Notebook1684088

• stober/gmm

  Gaussian Mixture Models in Python

  Language:Python1496579

• BeenKim/MMD-critic

  Language:Terra1316530

• zjfheart/Friendly-Adversarial-Training

  Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)

  Language:Python1245330

• Frankluox/LightningFSL

  LightningFSL: Pytorch-Lightning implementations of Few-Shot Learning models.

  Language:Python10632117

• imrahulr/adversarial_robustness_pytorch

  Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples" & "Fixing Data Augmentation to Improve Adversarial Robustness" in PyTorch

  Language:Python922412

• shashankvkt/AlignMixup_CVPR22

  Official Implementation of AlignMixup - CVPR 2022

  Language:Python69178

• P2333/SCORE

  A Self-Consistent Robust Error (ICML 2022)

  Language:Python67346

• UMBCvision/MSF

  Official code for "Mean Shift for Self-Supervised Learning"

  Language:Python5551011

• JinyuCai95/EDESC-pytorch

  Language:Python23136

• AKuzina/attack_vae

  Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks

  Language:Python13201

• sunblaze-ucb/curriculum-adversarial-training-CAT

  Language:Python131011

• AgentDS/Awesome-Mess

  An awesome & curated list of anything that might be useful for computer science students

  12100

• AKuzina/defend_vae_mcmc

  Code repository of the paper "Alleviating Adversarial Attacks on Variational Autoencoders with MCMC" published at NeurIPS 2022. https://arxiv.org/abs/2203.09940

  Language:Python10100

• royparijat/SPOT

  A framework for selection of prototypes using optimal transport theory

  Language:MATLAB9201

• ddepe/MNIST-Binary-Classification-using-Pytorch

  MNIST Binary Classification using Pytorch

  Language:Python5101

• lironghuo/adversarial-robustness-toolbox

  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 multiple framework support

  Language:Jupyter Notebook1000