Sample LDP implementation in Python
☆128Jul 26, 2023Updated 2 years ago
Alternatives and similar repositories for LDP_Protocols
Users that are interested in LDP_Protocols are comparing it to the libraries listed below
Sorting:
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆78Nov 6, 2025Updated 3 months ago
- Useful tools for differential privacy☆219Sep 11, 2022Updated 3 years ago
- ☆14Feb 19, 2025Updated last year
- Implementation of calibration bounds for differential privacy in the shuffle model☆21Nov 10, 2020Updated 5 years ago
- Hadamard Response: Communication efficient, sample optimal, linear time locally private learning of distributions☆16Sep 18, 2020Updated 5 years ago
- Apple Differential Privacy Implementation☆16Feb 26, 2021Updated 5 years ago
- Implementation of local differential privacy mechanisms in Python language.☆29Jul 26, 2022Updated 3 years ago
- ☆23Dec 9, 2022Updated 3 years ago
- Multiple Frequency Estimation Under Local Differential Privacy in Python☆51Feb 19, 2026Updated last week
- GFIM: An novel algorithm of frequent item mining with local differential privacy☆12Feb 13, 2020Updated 6 years ago
- A module for the Matrix-Variate Gaussian (MVG) mechanism for differential privacy under matrix-valued query.☆19Aug 12, 2020Updated 5 years ago
- An implementation of "Data Synthesis via Differentially Private Markov Random Fields"☆15Apr 2, 2024Updated last year
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆136Dec 8, 2022Updated 3 years ago
- ☆34Oct 12, 2022Updated 3 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆278Dec 5, 2023Updated 2 years ago
- Source code for LDPTrace: Locally Differentially Private Trajectory Synthesis. VLDB 2023.☆28Nov 13, 2023Updated 2 years ago
- ConTPL: Controlling Temporal Privacy Leakage in Streaming Data Release with Differential Privacy☆10Sep 7, 2018Updated 7 years ago
- ☆20Feb 2, 2024Updated 2 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Apr 25, 2022Updated 3 years ago
- Diffprivlib: The IBM Differential Privacy Library☆904Sep 17, 2025Updated 5 months ago
- Accompanying source code to my Bachelor's thesis at TUHH☆11Mar 15, 2018Updated 7 years ago
- ☆19Jun 15, 2022Updated 3 years ago
- Simulate a federated setting and run differentially private federated learning.☆387Mar 7, 2025Updated 11 months ago
- Analytic calibration for differential privacy with Gaussian perturbations☆51Oct 7, 2018Updated 7 years ago
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆76Feb 15, 2024Updated 2 years ago
- SAP Security Research sample code to reproduce the research done in our paper "Comparing local and central differential privacy using mem…☆18May 7, 2024Updated last year
- Differentially private federated learning: A systematic review (ACM Survey); Adap dp-fl: Differentially private federated learning with a…☆381Sep 2, 2025Updated 6 months ago
- Local Differential Privacy for Federated Learning☆19Oct 24, 2022Updated 3 years ago
- Unified, Simplified, Tight and Fast Privacy Amplification in the Shuffle Model of Differential Privacy☆11Oct 27, 2024Updated last year
- PyTorch implementation of a number of mechanisms in local differential privacy☆17Feb 17, 2022Updated 4 years ago
- The core library of differential privacy algorithms powering the OpenDP Project.☆409Updated this week
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Mar 1, 2018Updated 8 years ago
- ☆333Dec 25, 2025Updated 2 months ago
- Training PyTorch models with differential privacy☆1,907Updated this week
- This is a python script to generate nice bibtex file for latex.☆18Mar 1, 2020Updated 6 years ago
- Differential private machine learning☆201Feb 10, 2022Updated 4 years ago
- ☆10Jan 18, 2022Updated 4 years ago
- Source code for the VLDB 2021 paper.☆11May 19, 2021Updated 4 years ago
- DP-HyperparamTuning offers an array of tools for fast and easy hypertuning of various hyperparameters for the DP-SGD algorithm.☆23Sep 27, 2021Updated 4 years ago