sisaman / LDP-mechanismsLinks
PyTorch implementation of a number of mechanisms in local differential privacy
☆17Updated 3 years ago
Alternatives and similar repositories for LDP-mechanisms
Users that are interested in LDP-mechanisms are comparing it to the libraries listed below
Sorting:
- Local Differential Privacy for Federated Learning☆17Updated 2 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆122Updated 9 months ago
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆74Updated last year
- Secure and utility-aware data collection with condensed local differential privacy☆17Updated 5 years ago
- Sample LDP implementation in Python☆129Updated last year
- Differentially Private Federated Learning on Heterogeneous Data☆66Updated 3 years ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆46Updated last year
- A foundational platform that primarily shares federated learning, differential privacy content☆22Updated 3 months ago
- Useful tools for differential privacy☆217Updated 2 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 7 years ago
- The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation☆164Updated 2 years ago
- Implementation of "PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information"☆13Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆45Updated 2 years ago
- Code for CCS '23 paper "Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation"☆14Updated last year
- Utility-aware synthesis of differentially private and attack-resilient location traces☆24Updated 6 years ago
- 基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型☆63Updated 5 years ago
- ☆42Updated last year
- ☆35Updated 3 years ago
- ☆39Updated last year
- Differential private machine learning☆195Updated 3 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆33Updated 4 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Updated 3 years ago
- ☆14Updated 2 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆84Updated 2 years ago
- Paper notes and code for differentially private machine learning☆356Updated 7 months ago
- Implementation of dp-based federated learning framework using PyTorch☆300Updated 2 years ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆50Updated last year
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆35Updated 5 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆22Updated 4 years ago
- Code for the paper "Bayesian Differential Privacy for Machine Learning"☆22Updated 4 years ago