IFCA-Advanced-Computing / pycanon
pyCANON is a Python library and CLI to assess the values of the parameters associated with the most common privacy-preserving techniques.
☆30Updated this week
Alternatives and similar repositories for pycanon:
Users that are interested in pycanon are comparing it to the libraries listed below
- Differentially Private Synthetic Data Generation [DP-SDG] - Experimental Setups & Knowledge Base - WORK IN PROGRESS☆11Updated 2 years ago
- SDNist: Benchmark data and evaluation tools for data synthesizers.☆34Updated last week
- A software package for privacy-preserving generation of a synthetic twin to a given sensitive data set.☆50Updated 4 months ago
- ☆34Updated last year
- ☆39Updated 2 years ago
- A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR☆75Updated 6 months ago
- Privacy-Preserving Machine Learning (PPML) Tutorial☆37Updated 7 months ago
- An implementation of the tools described in the paper entitled "Graphical-model based estimation and inference for differential privacy"☆95Updated 3 weeks ago
- ☆262Updated 9 months ago
- Evaluate real and synthetic datasets against each other☆84Updated 2 weeks ago
- A curated list of awesome resources for creating synthetic data☆41Updated 2 years ago
- Federated gradient boosted decision tree learning☆69Updated last year
- Tools and service for differentially private processing of tabular and relational data☆256Updated last month
- Algorithms for generating synthetic data☆16Updated 7 months ago
- Differentially Private (tabular) Generative Models Papers with Code☆46Updated 6 months ago
- Privacy preserving synthetic data generation workflows☆20Updated 2 years ago
- A toolbox for differentially private data generation☆128Updated last year
- Anonymization library for python. Protect the privacy of individuals.☆26Updated 3 months ago
- Evaluating variety of k-Anonymity techniques.☆54Updated last year
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆510Updated 4 months ago
- Metrics to evaluate quality and efficacy of synthetic datasets.☆220Updated this week
- Anonymization methods for network security.☆152Updated 5 years ago
- ANJANA is a Python library for anonymizing sensitive data☆23Updated this week
- ☆26Updated last year
- Privacy-preserving XGBoost Inference☆48Updated last year
- Synthetic data generation by a Variational AutoEncoder with Differential Privacy assessed using Synthetic Data Vault metrics☆45Updated last year
- Supplemental Material for the ESANN 2019 Submission "Preserving privacy using synthetic data models and applications in health informatic…☆19Updated 4 years ago
- Python language bindings for smartnoise-core.☆75Updated last year
- Code samples and documentation for SmartNoise differential privacy tools☆131Updated 2 years ago