Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.
☆79Nov 6, 2025Updated 9 months ago
Alternatives and similar repositories for pure-LDP
Users that are interested in pure-LDP are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Sample LDP implementation in Python☆130Jul 26, 2023Updated 3 years ago
- Hadamard Response: Communication efficient, sample optimal, linear time locally private learning of distributions☆16Sep 18, 2020Updated 5 years ago
- ConTPL: Controlling Temporal Privacy Leakage in Streaming Data Release with Differential Privacy☆12Sep 7, 2018Updated 7 years ago
- Apple Differential Privacy Implementation☆16Feb 26, 2021Updated 5 years ago
- Accompanying source code to my Bachelor's thesis at TUHH☆11Mar 15, 2018Updated 8 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- A framework for protecting worker location privacy in spatial crowdsourcing☆15Apr 7, 2016Updated 10 years ago
- Implementation of local differential privacy mechanisms in Python language.☆29Jul 26, 2022Updated 4 years ago
- PyTorch implementation of a number of mechanisms in local differential privacy☆17Feb 17, 2022Updated 4 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆21Nov 10, 2020Updated 5 years ago
- ☆20Feb 2, 2024Updated 2 years ago
- ☆25Dec 9, 2022Updated 3 years ago
- ☆19Jun 15, 2022Updated 4 years ago
- ☆14Feb 19, 2025Updated last year
- Utility-aware synthesis of differentially private and attack-resilient location traces☆25Jan 20, 2019Updated 7 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Source code for LDPTrace: Locally Differentially Private Trajectory Synthesis. VLDB 2023.☆28Nov 13, 2023Updated 2 years ago
- Differentially Private (tabular) Generative Models Papers with Code☆54Jul 2, 2024Updated 2 years ago
- Applying differential privacy to movie recommendation system to guarantee the privacy of individual user ratings.☆11Nov 15, 2017Updated 8 years ago
- Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.☆18Oct 4, 2022Updated 3 years ago
- code for 'Differential Location Privacy for Sparse Mobile Crowdsensing' at ICDM'16☆47Jan 19, 2017Updated 9 years ago
- ☆336Apr 14, 2026Updated 4 months ago
- The core library of differential privacy algorithms powering the OpenDP Project.☆433Updated this week
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆550May 11, 2026Updated 3 months ago
- QGIS differential privacy processing plugin☆23Mar 15, 2016Updated 10 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Statistical Counterexample Detector for Differential Privacy☆28Apr 4, 2024Updated 2 years ago
- Pytorch implementation of backdoor unlearning.☆21Jun 8, 2022Updated 4 years ago
- Google's differential privacy libraries.☆3,350Updated this week
- ☆35Oct 12, 2022Updated 3 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Apr 25, 2022Updated 4 years ago
- A foundational platform that primarily shares federated learning, differential privacy content☆27Mar 19, 2025Updated last year
- UCLANesl - NIST Differential Privacy Challenge (Match 3)☆26May 30, 2019Updated 7 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Apr 16, 2021Updated 5 years ago
- ☆42Sep 6, 2023Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR☆109Jul 23, 2026Updated last month
- Python + Numpy + Scipy Implementation of LARS and LASSO☆12Oct 19, 2010Updated 15 years ago
- 🤖 In this work, we present our approach for the Author Profiling task of PAN 2019. The task is divided into two sub-problems, bot, and g…☆10Jul 6, 2023Updated 3 years ago
- A machine-learning-based tool for discovering differential privacy violations in black-box algorithms.☆23May 26, 2022Updated 4 years ago
- GFIM: An novel algorithm of frequent item mining with local differential privacy☆11Feb 13, 2020Updated 6 years ago
- SCAN: A Structural Clustering Algorithm for Networks python implementation☆12Jun 11, 2015Updated 11 years ago
- Training PyTorch models with differential privacy☆1,953Jul 13, 2026Updated last month