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

• PatrickZH / Improved-Deep-Leakage-from-Gradients
  The code for "Improved Deep Leakage from Gradients" (iDLG).
  ☆155Updated 4 years ago
• ipc-lab / private-ml-for-health
  Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)
  ☆75Updated 8 months ago
• WenyanLiu / apprenticeship
  A notebook of awesome privacy protection,federated learning, fairness and blockchain research materials.
  ☆33Updated 3 years ago
• Billy1900 / Awesome-Differential-Privacy
  Differential private machine learning
  ☆195Updated 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
  ☆64Updated 5 years ago
• FederatedAI / research
  ☆174Updated 11 months ago
• AI-secure / CRFL
  CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)
  ☆73Updated 4 years ago
• inspire-group / ModelPoisoning
  Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470
  ☆151Updated 3 years ago
• grasses / Vertical-Federated-Learning
  Code for Paper "Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption"
  ☆32Updated 2 years ago
• ChanChiChoi / awesome-Federated-Learning
  federated-learning
  ☆82Updated 2 years ago
• Samuel-Maddock / federated-boosted-dp-trees
  Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"
  ☆48Updated last year
• Jaskiee / GAN-Attack-against-Federated-Deep-Learning
  The reproduction of the paper Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning.
  ☆62Updated 2 years ago
• ebagdasa / backdoor_federated_learning
  Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)
  ☆306Updated last year
• lishenghui / blades
  ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning
  ☆148Updated 7 months ago
• haiphanNJIT / PrivateDeepLearning
  Differential Privacy Preservation in Deep Learning under Model Attacks
  ☆135Updated 4 years ago
• allensll / Awesome-Crypto-DNN
  List of papers on cryptography assisted deep learning privacy computation
  ☆13Updated 2 weeks 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
• 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
• tushar-semwal / awesome-federated-computing
  A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.
  ☆477Updated 2 years ago
• jeremy313 / Soteria
  Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"
  ☆57Updated 2 years ago
• Chung-ju / Federated-learning-papers
  Papers related to federated learning in top conferences (2020-2024).
  ☆70Updated 11 months ago
• FLAIR-THU / VFLAIR
  THU-AIR Vertical Federated Learning general, extensible and light-weight framework
  ☆99Updated last year
• DistributedML / FoolsGold
  A sybil-resilient distributed learning protocol.
  ☆104Updated last month
• Yangfan-Jiang / Federated-Learning-with-Differential-Privacy
  Implementation of dp-based federated learning framework using PyTorch
  ☆308Updated 2 years ago
• gaoliang13 / FedDC
  An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"
  ☆86Updated 3 years ago
• siquanhuang / Multi-metrics
  Multi-metrics adaptively identifies backdoors in Federated learning
  ☆31Updated 2 months ago
• lingjuanlv / FPPDL
  code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"
  ☆31Updated 3 years ago
• jgshu / Attacks-and-Defenses-in-Federated-Learning
  ☆38Updated 4 years ago
• maxencenoble / Differential-Privacy-for-Heterogeneous-Federated-Learning
  Differentially Private Federated Learning on Heterogeneous Data
  ☆68Updated 3 years ago
• vaikkunth / PrivacyFL
  A Simulator for Privacy Preserving Federated Learning
  ☆96Updated 4 years ago