mtjx

mtjx's Stars

• huawei-noah/vega

  AutoML tools chain

  Language:Python848176

• TL-System/plato

  A federated learning framework to support scalable and reproducible research

  Language:Python34681

• TsingZ0/PFLlib

  37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 20 datasets.

  Language:Python1.5k310

• alexisfilippakopoulos/SplitGP-Bsc-Thesis

  Personalized Federated Learning over Resource Constrained Devices in a Split Learning Setting

  Language:Jupyter Notebook5

• yn-sun/evocnn

  codes for the paper of "Evolving Deep Convolutional Neural Networks for Image Classification" published by TEVC

  Language:Python3615

• marijnvk/LargeScaleEvolution

  Large scale evolution for optimization

  Language:Python136

• ahmedfgad/GeneticAlgorithmPython

  Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

  Language:Python1.9k464

• selinuxG/Golin

  弱口令检测、 漏洞扫描、端口扫描（协议识别，组件识别）、web目录扫描、等保模拟定级、自动化运维、等保工具（网络安全等级保护现场测评工具）内置3级等保核查命令、基线核查工具、键盘记录器

  Language:Go1.2k199

• 0xa-saline/goby_api

  goby对应的api

  367

• Becivells/goby-api

  goby python api site:https://gobies.org/

  Language:Python224

• ganeshdg95/Leveraging-Adversarial-Examples-to-Quantify-Membership-Information-Leakage

  Language:Python191

• zergtant/pytorch-handbook

  pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

  Language:Jupyter Notebook20.4k5.4k

• yunjey/pytorch-tutorial

  PyTorch Tutorial for Deep Learning Researchers

  Language:Python30.3k8.1k

• SCLBD/BackdoorBench

  Language:Jupyter Notebook42071

• inspire-group/membership-inference-evaluation

  Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models

  Language:Python12418

• Koukyosyumei/AIJack

  Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)

  Language:C++36761

• pytorch/opacus

  Training PyTorch models with differential privacy

  Language:Jupyter Notebook1.7k345

• woodyx218/opacus_global_clipping

  Language:Python131

• aks2203/poisoning-benchmark

  A unified benchmark problem for data poisoning attacks

  Language:Python15221

• wronnyhuang/metapoison

  Craft poisoned data using MetaPoison

  Language:Python488

• jeromerony/adversarial-library

  Library containing PyTorch implementations of various adversarial attacks and resources

  Language:Python14919

• open-mmlab/mmpretrain

  OpenMMLab Pre-training Toolbox and Benchmark

  Language:Python3.5k1.1k

• facebookarchive/adversarial_image_defenses

  Countering Adversarial Image using Input Transformations.

  Language:Python49075

• cleverhans-lab/cleverhans

  An adversarial example library for constructing attacks, building defenses, and benchmarking both

  Language:Jupyter Notebook6.2k1.4k

• tensorflow/models

  Models and examples built with TensorFlow

  Language:Python77.2k45.7k

• SAP-samples/machine-learning-diff-private-federated-learning

  Simulate a federated setting and run differentially private federated learning.

  Language:Python36394

• privacytrustlab/ml_privacy_meter

  Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.

  Language:Python609100

• samuel-yeom/ml-privacy-csf18

  Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"

  Language:Python385

• dragen1860/Deep-Learning-with-TensorFlow-book

  深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

  Language:Jupyter Notebook13.2k4.1k

• jiaruncao/adversial_example_defense

  对抗性样本攻击与防御

  Language:Python19930