statice / anonymeter
A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR
☆80Updated 2 weeks ago
Alternatives and similar repositories for anonymeter:
Users that are interested in anonymeter are comparing it to the libraries listed below
- ☆35Updated last year
- ☆39Updated 2 years ago
- Differentially Private (tabular) Generative Models Papers with Code☆47Updated 8 months ago
- An implementation of the tools described in the paper entitled "Graphical-model based estimation and inference for differential privacy"☆101Updated last week
- A toolbox for differentially private data generation☆130Updated last year
- Tools and service for differentially private processing of tabular and relational data☆262Updated 2 months ago
- An implementation of "Data Synthesis via Differentially Private Markov Random Fields"☆13Updated 11 months ago
- SDNist: Benchmark data and evaluation tools for data synthesizers.☆34Updated 2 weeks ago
- ☆264Updated 11 months ago
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆73Updated last year
- Metrics to evaluate quality and efficacy of synthetic datasets.☆227Updated this week
- A software package for privacy-preserving generation of a synthetic twin to a given sensitive data set.☆51Updated 6 months ago
- Analytic calibration for differential privacy with Gaussian perturbations☆46Updated 6 years ago
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆508Updated 6 months ago
- 🏁 The core repository to support participants through the UN PET Lab Hackathon 2022 👉 Registration at: https://petlab.officialstatistic…☆19Updated 2 years ago
- PrivGAN: Protecting GANs from membership inference attacks at low cost☆33Updated 9 months ago
- pyCANON is a Python library and CLI to assess the values of the parameters associated with the most common privacy-preserving techniques.☆34Updated last week
- Official git for "CTAB-GAN: Effective Table Data Synthesizing"☆83Updated last year
- Benchmarking synthetic data generation methods.☆270Updated this week
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆628Updated 2 months ago
- Private Evolution: Generating DP Synthetic Data without Training [ICLR 2024, ICML 2024 Spotlight]☆90Updated last month
- autodp: A flexible and easy-to-use package for differential privacy☆273Updated last year
- Fast, memory-efficient, scalable optimization of deep learning with differential privacy☆115Updated 2 months ago
- Evaluate real and synthetic datasets against each other☆86Updated 2 months ago
- UCLANesl - NIST Differential Privacy Challenge (Match 3)☆23Updated 5 years ago
- A library to generate synthetic tabular or RDF data using Conditional Generative Adversary Networks (GANs) combined with Differential Pri…☆38Updated this week
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆74Updated last year
- Privacy Testing for Deep Learning☆198Updated last year
- Multiple Frequency Estimation Under Local Differential Privacy in Python☆47Updated last year
- Supplemental Material for the ESANN 2019 Submission "Preserving privacy using synthetic data models and applications in health informatic…☆19Updated 5 years ago