lee-man / federated-learning

Related projects: ⓘ

• ebagdasa / federated_adaptation
  Salvaging Federated Learning by Local Adaptation
  ☆55Updated last month
• mynameisvinn / federated-learning
  tf implementation of federated learning
  ☆40Updated 5 years ago
• lingjuanlv / FPPDL
  code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"
  ☆31Updated 2 years ago
• ebagdasa / differential-privacy-vs-fairness
  Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19
  ☆34Updated 3 years ago
• timmers / awesome-federated-learning
  A curated list of resources dedicated to federated learning.
  ☆101Updated 2 years ago
• yw3xs / PPDL
  privacy preserving deep learning
  ☆15Updated 7 years ago
• inspire-group / ModelPoisoning
  Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470
  ☆147Updated last year
• kamathhrishi / PATE
  Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…
  ☆41Updated 2 years ago
• ebagdasa / pytorch-privacy
  simple Differential Privacy in PyTorch
  ☆48Updated 4 years ago
• haiphanNJIT / PrivateDeepLearning
  Differential Privacy Preservation in Deep Learning under Model Attacks
  ☆131Updated 3 years ago
• SPIN-UMass / ML-Privacy-Regulization
  ☆25Updated 5 years ago
• samuel-yeom / ml-privacy-csf18
  Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"
  ☆38Updated 5 years ago
• shaoxiongji / fed-att
  Attentive Federated Learning for Private NLM
  ☆60Updated last month
• csong27 / property-inference-collaborative-ml
  Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)
  ☆53Updated 5 years ago
• gaborvecsei / Federated-Learning-Mini-Framework
  Federated Learning mini-framework with Keras
  ☆35Updated 4 years ago
• ChanChiChoi / awesome-Federated-Learning
  federated-learning
  ☆77Updated last year
• hwang595 / DETOX
  DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation
  ☆16Updated 4 years ago
• crownpku / federated_shap
  Code for paper "Interpret Federated Learning with Shapley Values"
  ☆37Updated 5 years ago
• bargavj / EvaluatingDPML
  This project's goal is to evaluate the privacy leakage of differentially private machine learning models.
  ☆129Updated last year
• inspire-group / privacy-vs-robustness
  Privacy Risks of Securing Machine Learning Models against Adversarial Examples
  ☆44Updated 4 years ago
• florian / federated-learning
  ☆31Updated 6 years ago
• mkucz95 / encrypted_ai_finance
  Credit Approval Classification Deep Learning Model using Differential Drivacy, Secure Multi-Party Computation, and Federated Learning
  ☆24Updated last year
• spring-epfl / mia
  A library for running membership inference attacks against ML models
  ☆137Updated last year
• SarodYatawatta / federated-pytorch-test
  Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth
  ☆41Updated 4 months ago
• gingsmith / fmtl
  Federated Multi-Task Learning
  ☆129Updated 5 years ago
• AI-secure / CRFL
  CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)
  ☆69Updated 3 years ago
• IBM / probabilistic-federated-neural-matching
  Bayesian Nonparametric Federated Learning of Neural Networks
  ☆137Updated 5 years ago
• AdrienBenamira / membership_inference_attack
  Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.
  ☆47Updated 5 years ago
• steven7woo / Accuracy-First-Differential-Privacy
  Code for NIPS'2017 paper
  ☆49Updated 4 years ago
• krishnap25 / RFA
  Robust aggregation for federated learning with the RFA algorithm.
  ☆42Updated 2 years ago