Alternatives and similar repositories for Deep-Learning-with-GDP-Pytorch

Users that are interested in Deep-Learning-with-GDP-Pytorch are comparing it to the libraries listed below

• woodyx218 / Deep-Learning-with-GDP-Tensorflow
  Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"
  ☆49Updated 4 years ago
• dayu11 / Differentially-Private-Deep-Learning
  This repo implements several algorithms for learning with differential privacy.
  ☆111Updated 3 years ago
• krishnap25 / RFA
  Robust aggregation for federated learning with the RFA algorithm.
  ☆53Updated 3 years ago
• AI-secure / CRFL
  CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)
  ☆74Updated 4 years ago
• jeremy313 / Soteria
  Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"
  ☆57Updated 2 years ago
• inspire-group / ModelPoisoning
  Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470
  ☆152Updated 3 years ago
• lingjuanlv / FPPDL
  code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"
  ☆31Updated 3 years ago
• AdrienBenamira / membership_inference_attack
  Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.
  ☆60Updated 6 years ago
• s-huu / Ditto
  ☆54Updated 4 years ago
• papersdclub / Differentially_private_federated_learning
  Differentially Private Federated Learning: A Client Level Perspective
  ☆12Updated 6 years ago
• shrebox / Privacy-Attacks-in-Machine-Learning
  Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.
  ☆65Updated last year
• maxencenoble / Differential-Privacy-for-Heterogeneous-Federated-Learning
  Differentially Private Federated Learning on Heterogeneous Data
  ☆71Updated 3 years ago
• ebagdasa / federated_adaptation
  Salvaging Federated Learning by Local Adaptation
  ☆56Updated last year
• fushuhao6 / Attack-Resistant-Federated-Learning
  ☆30Updated 5 years ago
• mattbev / 6.867-final-project
  Adversarial attacks and defenses against federated learning.
  ☆20Updated 2 years ago
• ksreenivasan / OOD_Federated_Learning
  ☆72Updated 3 years ago
• zaixizhang / FLDetector
  The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…
  ☆84Updated 2 years ago
• JingHongyi / Federated-Learning-Backdoor-Example-with-MNIST-and-CIFAR-10
  This is a simple backdoor model for federated learning.We use MNIST as the original data set for data attack and we use CIFAR-10 data set…
  ☆14Updated 5 years ago
• ebagdasa / pytorch-privacy
  simple Differential Privacy in PyTorch
  ☆49Updated 5 years ago
• PatrickZH / Improved-Deep-Leakage-from-Gradients
  The code for "Improved Deep Leakage from Gradients" (iDLG).
  ☆164Updated 4 years ago
• dayu11 / Improved-DP-SGD
  Improved DP-SGD for optimizing
  ☆20Updated 6 years ago
• AI-secure / DataLens
  [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…
  ☆36Updated 4 years ago
• Suyi32 / Learning-to-Detect-Malicious-Clients-for-Robust-FL
  ☆19Updated 5 years ago
• jeremy313 / non-iid-dataset-for-personalized-federated-learning
  Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…
  ☆86Updated 5 years ago
• thecml / dpsgd-optimizer
  Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…
  ☆42Updated last year
• DistributedML / FoolsGold
  A sybil-resilient distributed learning protocol.
  ☆109Updated 4 months ago
• XinyiYS / Gradient-Driven-Rewards-to-Guarantee-Fairness-in-Collaborative-Machine-Learning
  Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurI…
  ☆24Updated last year
• krishnap25 / simplicial-fl
  Simplicial-FL to manage client device heterogeneity in Federated Learning
  ☆22Updated 2 years ago
• gdisag / gradient_disaggregation
  ☆15Updated 2 years ago
• git-disl / CPL_attack
  ☆36Updated 4 years ago