Alternatives and similar repositories for R-GAP:

Users that are interested in R-GAP are comparing it to the libraries listed below

• eth-sri / bayes-framework-leakage
  ☆10Updated 2 years ago
• dayu11 / Gradient-Embedding-Perturbation
  ☆27Updated 2 years ago
• shrezaei / MI-Attack
  ☆31Updated 7 months ago
• litian96 / FedDANE
  FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)
  ☆25Updated 2 years ago
• woodyx218 / opacus_global_clipping
  ☆14Updated last year
• lhfowl / robbing_the_fed
  ☆23Updated 3 years ago
• jeremy313 / Soteria
  Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"
  ☆55Updated last year
• Machine-Learning-Security-Lab / mia_prune
  Membership Inference Attacks and Defenses in Neural Network Pruning
  ☆28Updated 2 years ago
• gdisag / gradient_disaggregation
  ☆14Updated last year
• AI-secure / DataLens
  [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…
  ☆37Updated 3 years ago
• ganeshdg95 / Leveraging-Adversarial-Examples-to-Quantify-Membership-Information-Leakage
  ☆19Updated 2 years ago
• DingfanChen / RelaxLoss
  Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)
  ☆48Updated 2 years ago
• mkhodak / FedEx
  ☆12Updated 3 years ago
• csong27 / property-inference-collaborative-ml
  Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)
  ☆53Updated 5 years ago
• sam-yeom / ml-privacy-csf18
  Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"
  ☆38Updated 6 years ago
• ftramer / Handcrafted-DP
  ☆80Updated 2 years ago
• jeremy43 / Private_kNN
  ☆24Updated 2 years ago
• inspire-group / hydra
  Code and checkpoints of compressed networks for the paper titled "HYDRA: Pruning Adversarially Robust Neural Networks" (NeurIPS 2020) (ht…
  ☆91Updated 2 years ago
• krishnap25 / simplicial-fl
  Simplicial-FL to manage client device heterogeneity in Federated Learning
  ☆22Updated last year
• AI-secure / CRFL
  CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)
  ☆71Updated 3 years ago
• JialinMao / private_CNN
  ☆10Updated 2 years ago
• illidanlab / SplitMix
  [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time
  ☆42Updated last year
• shenzebang / Federated-Learning-Pytorch
  ☆40Updated last year
• cchoquette / membership-inference
  Code for the paper: Label-Only Membership Inference Attacks
  ☆64Updated 3 years ago
• s-huu / Ditto
  ☆54Updated 3 years ago
• ebagdasa / federated_adaptation
  Salvaging Federated Learning by Local Adaptation
  ☆56Updated 8 months ago
• fushuhao6 / Attack-Resistant-Federated-Learning
  ☆31Updated 4 years ago
• facebookresearch / certified-removal
  Certified Removal from Machine Learning Models
  ☆65Updated 3 years ago
• ksreenivasan / OOD_Federated_Learning
  ☆69Updated 2 years ago
• DeRafael / CAFE
  ☆21Updated 3 years ago