Alternatives and similar repositories for differential-privacy

Users that are interested in differential-privacy are comparing it to the libraries listed below

• Shubha23 / Laplace-and-Exponential-mechanisms-for-privacy
  Applying Laplace and exponential mechanisms to add random noise to data for differential privacy. Plotting MSE vs. epsilon.
  ☆31Updated last month
• 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
• aleph-research / diff-priv-laplace-python
  Python implementation of differential privacy using Laplace mechanism
  ☆11Updated 3 years ago
• gitgik / differential-privacy-federated-learning
  Curated notebooks on how to train neural networks using differential privacy and federated learning.
  ☆67Updated 5 years ago
• heroding77 / fedavg_encrypt
  FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…
  ☆131Updated last year
• TheWitcher05 / Federated_learning_with_differential_privacy
  Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.
  ☆35Updated 4 years ago
• cpwan / Attack-Adaptive-Aggregation-in-Federated-Learning
  This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.
  ☆46Updated 2 years ago
• Samuel-Maddock / federated-boosted-dp-trees
  Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"
  ☆53Updated 2 years ago
• lebyni / PFA
  ☆35Updated 4 years ago
• AdamWei-boop / Federated-Learning-with-Local-Differential-Privacy
  Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.
  ☆46Updated 3 years ago
• grasses / Vertical-Federated-Learning
  Code for Paper "Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption"
  ☆34Updated 3 years ago
• Billy1900 / Awesome-Differential-Privacy
  Differential private machine learning
  ☆199Updated 3 years ago
• ltzheng / data-privacy
  Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …
  ☆61Updated 3 years ago
• ppmlguy / DP-AGD
  Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget
  ☆49Updated 7 years ago
• maxencenoble / Differential-Privacy-for-Heterogeneous-Federated-Learning
  Differentially Private Federated Learning on Heterogeneous Data
  ☆71Updated 3 years ago
• vvv214 / LDP_Protocols
  Sample LDP implementation in Python
  ☆128Updated 2 years ago
• NigeloYang / federated_learning_differential_privacy
  A foundational platform that primarily shares federated learning, differential privacy content
  ☆26Updated 10 months ago
• sisaman / LDP-mechanisms
  PyTorch implementation of a number of mechanisms in local differential privacy
  ☆17Updated 3 years ago
• lucifer2859 / Paillier-LWE-based-PHE
  Privacy-Preserving Deep Learning via Additively Homomorphic Encryption
  ☆72Updated 5 years ago
• BorjaBalle / amplification-by-shuffling
  Implementation of calibration bounds for differential privacy in the shuffle model
  ☆21Updated 5 years ago
• ipc-lab / private-ml-for-health
  Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)
  ☆76Updated 11 months ago
• ITSEG-MQ / Chain-PPFL
  Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC
  ☆37Updated 5 years ago
• abogdanova / FL-MIA
  Federated Learning and Membership Inference Attacks experiments on CIFAR10
  ☆23Updated 6 years ago
• DistributedML / FoolsGold
  A sybil-resilient distributed learning protocol.
  ☆110Updated 4 months 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
• Rachelxuan11 / FLAME
  ☆35Updated 3 years ago
• forestneo / sunPytools
  Useful tools for differential privacy
  ☆219Updated 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
• JianXu95 / SignGuard
  ☆16Updated 2 years ago
• lingjuanlv / FPPDL
  code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"
  ☆31Updated 3 years ago