☆41Sep 6, 2023Updated 2 years ago
Alternatives and similar repositories for tapas
Users that are interested in tapas are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR☆99Jan 9, 2026Updated 2 months ago
- ☆43Dec 7, 2022Updated 3 years ago
- Synthetic data for SQL databases☆11Jan 30, 2026Updated last month
- A library providing general-purpose tools for estimating discrete distributions from noisy observations of their marginals.☆113Mar 6, 2026Updated 2 weeks ago
- SDNist: Benchmark data and evaluation tools for data synthesizers.☆39Jul 16, 2025Updated 8 months ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Code for paper: "Privately generating tabular data using language models".☆15Jun 13, 2023Updated 2 years ago
- A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.☆645Feb 11, 2026Updated last month
- Tools and service for differentially private processing of tabular and relational data☆293Mar 7, 2026Updated 2 weeks ago
- Supplemental Material for the ESANN 2019 Submission "Preserving privacy using synthetic data models and applications in health informatic…☆20Mar 20, 2020Updated 6 years ago
- Standardised Metrics and Methods for Synthetic Tabular Data Evaluation☆36Aug 14, 2024Updated last year
- A library to generate synthetic tabular or RDF data using Conditional Generative Adversary Networks (GANs) combined with Differential Pri…☆92Dec 17, 2025Updated 3 months ago
- ☆19Jun 15, 2022Updated 3 years ago
- A detailed course on solving realistic inference problems with mice.☆12Mar 21, 2025Updated last year
- This repository contains the source code for "Membership Inference Attacks as Privacy Tools: Reliability, Disparity and Ensemble", In Pro…☆10Jan 2, 2026Updated 2 months ago
- NordVPN Threat Protection Pro™ • AdTake your cybersecurity to the next level. Block phishing, malware, trackers, and ads. Lightweight app that works with all browsers.
- Differentially Private (tabular) Generative Models Papers with Code☆54Jul 2, 2024Updated last year
- Implementation of local differential privacy mechanisms in Python language.☆29Jul 26, 2022Updated 3 years ago
- Transparent and privacy-friendly synthetic data generation☆51Mar 13, 2026Updated last week
- Quantitative Information Flow library for python and C++.☆17Sep 4, 2025Updated 6 months ago
- sEEG software☆17Feb 11, 2026Updated last month
- A principled library for tuning, training and evaluating tabular data synthesis on fidelity, privacy and utility. CCS 2025.☆26Aug 17, 2025Updated 7 months ago
- Official release of source code for the Disclosure Avoidance System (DAS) used to protect against the disclosure of individual informatio…☆22Oct 27, 2021Updated 4 years ago
- ☆14Dec 23, 2020Updated 5 years ago
- Gaussian Membership Inference Privacy (NeurIPS 2023)☆12Jul 27, 2024Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- PrivGAN: Protecting GANs from membership inference attacks at low cost☆36Jun 17, 2024Updated last year
- ☆16Mar 30, 2023Updated 2 years ago
- A toolbox for differentially private data generation☆130Jul 6, 2023Updated 2 years ago
- [NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*…☆30Oct 26, 2021Updated 4 years ago
- The official code implementation of the Autodiff algorithm.☆15Nov 10, 2023Updated 2 years ago
- Implementation of a differentially private generative adversarial network.☆11Nov 20, 2018Updated 7 years ago
- Source code for the VLDB 2021 paper.☆11May 19, 2021Updated 4 years ago
- Overview of tools to de-identify, synthesize and work safely with (sensitive) data☆24Nov 28, 2024Updated last year
- ☆18Feb 7, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆25Nov 6, 2025Updated 4 months ago
- Source code of NAACL 2025 Findings "Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models"☆15Dec 16, 2025Updated 3 months ago
- Data archive of seven open emotion time series from studies using Experience Sampling Methodology☆12Oct 18, 2022Updated 3 years ago
- The code of "dp-promise: Differentially Private Diffusion Probabilistic Models for Image Synthesis"☆23Apr 5, 2024Updated last year
- 📖 A curated list of resources dedicated to synthetic data☆141Jul 29, 2022Updated 3 years ago
- FairGrad, is an easy to use general purpose approach to enforce fairness for gradient descent based methods.☆14Oct 2, 2023Updated 2 years ago
- Unified, Simplified, Tight and Fast Privacy Amplification in the Shuffle Model of Differential Privacy☆11Oct 27, 2024Updated last year