Code samples and documentation for SmartNoise differential privacy tools
☆133Jun 22, 2022Updated 3 years ago
Alternatives and similar repositories for smartnoise-samples
Users that are interested in smartnoise-samples are comparing it to the libraries listed below
Sorting:
- Python language bindings for smartnoise-core.☆76Mar 13, 2023Updated 2 years ago
- Tools and service for differentially private processing of tabular and relational data☆291Feb 19, 2026Updated 2 weeks ago
- Differential privacy validator and runtime☆292Jan 6, 2022Updated 4 years ago
- Diffprivlib: The IBM Differential Privacy Library☆906Sep 17, 2025Updated 5 months ago
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆543Nov 7, 2025Updated 3 months ago
- The core library of differential privacy algorithms powering the OpenDP Project.☆409Updated this week
- ☆38Jun 21, 2022Updated 3 years ago
- Google's differential privacy libraries.☆3,290Feb 18, 2026Updated 2 weeks ago
- Synthetic data generators for structured and unstructured text, featuring differentially private learning.☆672Jun 24, 2025Updated 8 months ago
- Large-Scale Graph Inference☆12Nov 6, 2024Updated last year
- A collection of implementations of fair ML algorithms☆12Jan 7, 2018Updated 8 years ago
- Differentially Private Synthetic Data Generation [DP-SDG] - Experimental Setups & Knowledge Base - WORK IN PROGRESS☆12Jul 26, 2022Updated 3 years ago
- ☆32Sep 16, 2022Updated 3 years ago
- SDNist: Benchmark data and evaluation tools for data synthesizers.☆39Jul 16, 2025Updated 7 months ago
- ☆15Feb 5, 2019Updated 7 years ago
- A toolbox for differentially private data generation☆130Jul 6, 2023Updated 2 years ago
- Differential private machine learning☆201Feb 10, 2022Updated 4 years ago
- Synthesize a new dataset based on the original dataset for later machine learning to facilitate the data sharing from the customer.☆17Feb 4, 2025Updated last year
- ☆39Sep 6, 2023Updated 2 years ago
- ☆40Mar 20, 2024Updated last year
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆78Nov 6, 2025Updated 4 months ago
- A dynamically executed quantum-classical hybrid runtime.☆23Jul 1, 2025Updated 8 months ago
- MirrorDataGenerator is a python tool that generates synthetic data based on user-specified causal relations among features in the data. I…☆24Jun 22, 2022Updated 3 years ago
- Privacy-preserving XGBoost Inference☆50Apr 20, 2023Updated 2 years ago
- ☆22Jan 9, 2026Updated last month
- 💫 Runtime performance comparison of spaCy against other NLP libraries☆20Aug 31, 2022Updated 3 years ago
- Apple Differential Privacy Implementation☆16Feb 26, 2021Updated 5 years ago
- Private computation framework library allows developers to perform randomized controlled trials, without leaking information about who pa…☆141Oct 13, 2025Updated 4 months ago
- NS-CQA: the model of the JWS paper 'Less is More: Data-Efficient Complex Question Answering over Knowledge Bases.' This work has been acc…☆22Jan 6, 2021Updated 5 years ago
- Bitmex market microstructure analytics☆23Feb 24, 2021Updated 5 years ago
- Benchmarking synthetic data generation methods.☆300Updated this week
- Bridge between TensorFlow and the Microsoft SEAL homomorphic encryption library☆95Jan 22, 2020Updated 6 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆136Dec 8, 2022Updated 3 years ago
- Code for computing tight guarantees for differential privacy☆23Mar 3, 2023Updated 3 years ago
- Structural Time Series on US electricity demand data☆22Jan 12, 2021Updated 5 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Mar 1, 2018Updated 8 years ago
- Solution accelerator to help developers build an end-to-end Customer 360 solution using Azure Synapse Analytics and Dynamics 360 Customer…☆32Feb 8, 2023Updated 3 years ago
- Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010☆63Jun 16, 2020Updated 5 years ago
- Useful tools for differential privacy☆219Sep 11, 2022Updated 3 years ago