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.
☆36Updated last week
Alternatives and similar repositories for pycanon:
Users that are interested in pycanon are comparing it to the libraries listed below
- ANJANA is a Python library for anonymizing sensitive data☆30Updated last week
- A software package for privacy-preserving generation of a synthetic twin to a given sensitive data set.☆52Updated 8 months ago
- A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR☆87Updated 2 months ago
- SDNist: Benchmark data and evaluation tools for data synthesizers.☆35Updated 3 weeks ago
- Privacy-Preserving Machine Learning (PPML) Tutorial☆38Updated 10 months ago
- A curated list of awesome resources for creating synthetic data☆42Updated 3 years ago
- Differentially Private Synthetic Data Generation [DP-SDG] - Experimental Setups & Knowledge Base - WORK IN PROGRESS☆12Updated 2 years ago
- Tools and service for differentially private processing of tabular and relational data☆265Updated 3 months ago
- Metrics to evaluate quality and efficacy of synthetic datasets.☆231Updated 3 weeks ago
- ☆36Updated last year
- ☆39Updated 2 years ago
- ☆266Updated last year
- Frouros: an open-source Python library for drift detection in machine learning systems.☆215Updated 3 months ago
- Evaluating variety of k-Anonymity techniques.☆54Updated last year
- Privacy preserving synthetic data generation workflows☆20Updated 3 years ago
- A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.☆226Updated last month
- An implementation of the tools described in the paper entitled "Graphical-model based estimation and inference for differential privacy"☆102Updated this week
- Course Material for the Tutorial on Privacy Enhancing Technologies and PPML☆13Updated 3 years ago
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆515Updated 7 months ago
- A library of Reversible Data Transforms☆124Updated this week
- A toolbox for differentially private data generation☆131Updated last year
- nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets☆66Updated 2 years ago
- Algorithms for generating synthetic data☆16Updated 10 months ago
- The core library of differential privacy algorithms powering the OpenDP Project.☆354Updated this week
- A library to generate synthetic tabular or RDF data using Conditional Generative Adversary Networks (GANs) combined with Differential Pri…☆38Updated last month
- Anonymization library for python. Protect the privacy of individuals.☆29Updated 7 months ago
- PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such a…☆276Updated last week
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆647Updated last week
- Python language bindings for smartnoise-core.☆76Updated 2 years ago
- A toolkit for tools and techniques related to the privacy and compliance of AI models.☆102Updated 10 months ago