Alternatives and similar repositories for LDP-mechanisms

Users that are interested in LDP-mechanisms are comparing it to the libraries listed below

• chamikara1986 / LDPFL
  Local Differential Privacy for Federated Learning
  ☆17Updated 2 years ago
• ppmlguy / DP-AGD
  Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget
  ☆49Updated 7 years ago
• git-disl / CLDP
  Secure and utility-aware data collection with condensed local differential privacy
  ☆17Updated 5 years ago
• heroding77 / fedavg_encrypt
  FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…
  ☆126Updated 11 months ago
• vvv214 / LDP_Protocols
  Sample LDP implementation in Python
  ☆129Updated 2 years ago
• AlekseiTriastcyn / bayesian-differential-privacy
  Code for the paper "Bayesian Differential Privacy for Machine Learning"
  ☆22Updated 5 years ago
• NigeloYang / federated_learning_differential_privacy
  A foundational platform that primarily shares federated learning, differential privacy content
  ☆24Updated 6 months ago
• JianXu95 / SignGuard
  ☆14Updated 2 years ago
• guoJohnny / algorithmic-foundation-of-dp-zh-cn
  The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation
  ☆165Updated 2 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
• forestneo / sunPytools
  Useful tools for differential privacy
  ☆218Updated 3 years ago
• woodyx218 / Deep-Learning-with-GDP-Tensorflow
  Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"
  ☆49Updated 4 years ago
• zhmzm / FLTrust_pytorch
  ☆39Updated last year
• Samuel-Maddock / federated-boosted-dp-trees
  Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"
  ☆46Updated last year
• 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
• Billy1900 / Awesome-Differential-Privacy
  Differential private machine learning
  ☆195Updated 3 years ago
• zhxchd / Blink_GNN
  Code for CCS '23 paper "Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation"
  ☆15Updated last year
• Samuel-Maddock / pure-LDP
  Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.
  ☆76Updated 2 years ago
• maxencenoble / Differential-Privacy-for-Heterogeneous-Federated-Learning
  Differentially Private Federated Learning on Heterogeneous Data
  ☆67Updated 3 years ago
• BHui97 / PrivateFL
  ☆43Updated 2 years ago
• ltzheng / data-privacy
  Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …
  ☆61Updated 3 years ago
• TheWitcher05 / Federated_learning_with_differential_privacy
  Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.
  ☆33Updated 4 years ago
• Rachelxuan11 / FLAME
  ☆35Updated 2 years ago
• woodyx218 / Deep-Learning-with-GDP-Pytorch
  Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"
  ☆33Updated 4 years ago
• ZhangIvan1 / Efficient-Privacy-Preserving-Federated-Learning-With-Improved-Compressed-Sensing
  The source code of the paper "Efficient Privacy-Preserving Federated Learning with Compressed Sensing"
  ☆21Updated last year
• Privacy-Graph / PrivGraph
  Implementation of "PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information"
  ☆13Updated 2 years ago
• shentt67 / LFBA
  [AAAI 2025] Label-Free Backdoor Attacks in Vertical Federated Learning
  ☆11Updated 5 months ago
• AdamWei-boop / Federated-Learning-with-Local-Differential-Privacy
  Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.
  ☆46Updated 2 years ago
• FuChong-cyber / label-inference-attacks
  Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.
  ☆84Updated 2 years ago
• sisaman / LPGNN
  Locally Private Graph Neural Networks (ACM CCS 2021)
  ☆49Updated 2 months ago