alan-turing-institute / tapasLinks
☆39Updated 2 years ago
Alternatives and similar repositories for tapas
Users that are interested in tapas are comparing it to the libraries listed below
Sorting:
- A library providing general-purpose tools for estimating discrete distributions from noisy observations of their marginals.☆110Updated last week
- ☆41Updated 3 years ago
- A toolbox for differentially private data generation☆130Updated 2 years ago
- Differentially Private (tabular) Generative Models Papers with Code☆54Updated last year
- PrivGAN: Protecting GANs from membership inference attacks at low cost☆36Updated last year
- A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR☆93Updated last week
- Tools and service for differentially private processing of tabular and relational data☆290Updated 5 months ago
- A library for running membership inference attacks against ML models☆152Updated 3 years ago
- SDNist: Benchmark data and evaluation tools for data synthesizers.☆39Updated 6 months ago
- [NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*…☆30Updated 4 years ago
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆76Updated last year
- Differentially-private transformers using HuggingFace and Opacus☆145Updated last year
- 🏁 The core repository to support participants through the UN PET Lab Hackathon 2022 👉 Registration at: https://petlab.officialstatistic…☆19Updated 3 years ago
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆696Updated 8 months ago
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆541Updated 2 months ago
- Differentially-private Wasserstein GAN implementation in PyTorch☆28Updated 6 years ago
- ☆272Updated last year
- autodp: A flexible and easy-to-use package for differential privacy☆278Updated 2 years ago
- Python package to create adversarial agents for membership inference attacks againts machine learning models☆47Updated 6 years ago
- A codebase that makes differentially private training of transformers easy.☆182Updated 3 years ago
- Analytic calibration for differential privacy with Gaussian perturbations☆51Updated 7 years ago
- Fast, memory-efficient, scalable optimization of deep learning with differential privacy☆135Updated this week
- Source code of paper "Differentially Private Generative Adversarial Network"☆70Updated 7 years ago
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆78Updated 2 months ago
- Private Evolution: Generating DP Synthetic Data without Training [ICLR 2024, ICML 2024 Spotlight]☆109Updated 2 months ago
- FairGrad, is an easy to use general purpose approach to enforce fairness for gradient descent based methods.☆14Updated 2 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆85Updated 3 years ago
- Federated gradient boosted decision tree learning☆68Updated 2 years ago
- Diffprivlib: The IBM Differential Privacy Library☆899Updated 4 months ago
- This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.☆63Updated 7 years ago