Alternatives and similar repositories for awesome-privacy-preserving-machine-learning

Users that are interested in awesome-privacy-preserving-machine-learning are comparing it to the libraries listed below

• Billy1900 / Awesome-Differential-Privacy
  Differential private machine learning
  ☆198Updated 3 years ago
• haiphanNJIT / PrivateDeepLearning
  Differential Privacy Preservation in Deep Learning under Model Attacks
  ☆135Updated 4 years ago
• ebagdasa / backdoor_federated_learning
  Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)
  ☆310Updated last year
• PatrickZH / Improved-Deep-Leakage-from-Gradients
  The code for "Improved Deep Leakage from Gradients" (iDLG).
  ☆164Updated 4 years ago
• ngc436 / awesome-vertical-federated-learning
  A curated list of advancements in Vertical Federated Learning, frameworks and libraries.
  ☆38Updated 5 months ago
• csong27 / membership-inference
  Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)
  ☆200Updated 8 years ago
• inspire-group / ModelPoisoning
  Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470
  ☆152Updated 3 years ago
• shaneson0 / attacking_federate_learning
  基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型
  ☆65Updated 5 years ago
• JonasGeiping / invertinggradients
  Algorithms to recover input data from their gradient signal through a neural network
  ☆310Updated 2 years ago
• AI-secure / CRFL
  CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)
  ☆74Updated 4 years ago
• shrebox / Privacy-Attacks-in-Machine-Learning
  Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.
  ☆65Updated last year
• ebagdasa / backdoors101
  Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.
  ☆377Updated 2 years ago
• ebagdasa / pytorch-privacy
  simple Differential Privacy in PyTorch
  ☆49Updated 5 years ago
• spring-epfl / mia
  A library for running membership inference attacks against ML models
  ☆152Updated 3 years ago
• AI-secure / DBA
  DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)
  ☆202Updated 4 years ago
• allensll / Awesome-Crypto-DNN
  List of papers on cryptography assisted deep learning privacy computation
  ☆17Updated 2 weeks ago
• GillHuang-Xtler / flPapers
  Paper collection of federated learning. Conferences and Journals Collection for Federated Learning from 2019 to 2021, Accepted Papers, Ho…
  ☆94Updated 3 years ago
• ChanChiChoi / awesome-Federated-Learning
  federated-learning
  ☆85Updated 3 years ago
• Chung-ju / Federated-learning-papers
  Papers related to federated learning in top conferences (2020-2024).
  ☆69Updated last year
• TinfoilHat0 / Defending-Against-Backdoors-with-Robust-Learning-Rate
  The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".
  ☆35Updated 3 years ago
• FederatedAI / research
  ☆179Updated last year
• mattbev / 6.867-final-project
  Adversarial attacks and defenses against federated learning.
  ☆20Updated 2 years ago
• Jaskiee / GAN-Attack-against-Federated-Deep-Learning
  The reproduction of the paper Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning.
  ☆63Updated 2 years ago
• Machine-Learning-Security-Lab / mia_prune
  Membership Inference Attacks and Defenses in Neural Network Pruning
  ☆28Updated 3 years ago
• vrt1shjwlkr / NDSS21-Model-Poisoning
  Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"
  ☆148Updated 3 years ago
• Guyanqi / Awesome-Privacy
  Repository for collection of research papers on privacy.
  ☆344Updated last year
• HongshengHu / source-inference-FL
  ☆13Updated 3 years ago
• git-disl / CPL_attack
  ☆36Updated 4 years ago
• abbottyanginchina / Awesome-Federated-Unlearning
  Awesome Federated Unlearning (FU) Papers (Continually Update)
  ☆108Updated last year
• ipc-lab / private-ml-for-health
  Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)
  ☆76Updated 11 months ago