alan-turing-institute / tapasLinks
☆36Updated 2 years ago
Alternatives and similar repositories for tapas
Users that are interested in tapas are comparing it to the libraries listed below
Sorting:
- ☆41Updated 2 years ago
- A library providing general-purpose tools for estimating discrete distributions from noisy observations of their marginals.☆108Updated 2 months ago
- A toolbox for differentially private data generation☆131Updated 2 years ago
- Differentially Private (tabular) Generative Models Papers with Code☆53Updated last year
- A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR☆92Updated this week
- Tools and service for differentially private processing of tabular and relational data☆286Updated 3 months ago
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆74Updated last year
- A library for running membership inference attacks against ML models☆152Updated 2 years ago
- PrivGAN: Protecting GANs from membership inference attacks at low cost☆35Updated last year
- autodp: A flexible and easy-to-use package for differential privacy☆275Updated last year
- [NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*…☆31Updated 4 years ago
- Fast, memory-efficient, scalable optimization of deep learning with differential privacy☆135Updated 3 months ago
- Analytic calibration for differential privacy with Gaussian perturbations☆51Updated 7 years ago
- FairGrad, is an easy to use general purpose approach to enforce fairness for gradient descent based methods.☆14Updated 2 years ago
- Python package to create adversarial agents for membership inference attacks againts machine learning models☆47Updated 6 years ago
- ☆271Updated last year
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆684Updated 6 months ago
- Differentially-private transformers using HuggingFace and Opacus☆143Updated last year
- A codebase that makes differentially private training of transformers easy.☆178Updated 2 years ago
- Federated gradient boosted decision tree learning☆68Updated 2 years ago
- Source code of paper "Differentially Private Generative Adversarial Network"☆70Updated 6 years ago
- Datasets derived from US census data☆272Updated last year
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆78Updated 2 weeks ago
- SDNist: Benchmark data and evaluation tools for data synthesizers.☆39Updated 4 months ago
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆540Updated 2 weeks ago
- 🏁 The core repository to support participants through the UN PET Lab Hackathon 2022 👉 Registration at: https://petlab.officialstatistic…☆19Updated 3 years ago
- A principled library for tuning, training and evaluating tabular data synthesis on fidelity, privacy and utility. CCS 2025.☆24Updated 3 months ago
- Differentially-private Wasserstein GAN implementation in PyTorch☆28Updated 6 years ago
- UCLANesl - NIST Differential Privacy Challenge (Match 3)☆25Updated 6 years ago
- The core library of differential privacy algorithms powering the OpenDP Project.☆397Updated this week