Differentially Private (tabular) Generative Models Papers with Code
☆54Jul 2, 2024Updated last year
Alternatives and similar repositories for dp-generative-models
Users that are interested in dp-generative-models are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆16Mar 30, 2023Updated 3 years ago
- The code of "dp-promise: Differentially Private Diffusion Probabilistic Models for Image Synthesis"☆23Apr 5, 2024Updated 2 years ago
- ☆44Dec 7, 2022Updated 3 years ago
- For making notes when researching and studying.☆10Jul 29, 2022Updated 3 years ago
- End-to-end codebase for finetuning LLMs (LLaMA 2, 3, etc.) with or without DP☆17Sep 23, 2024Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Differentially Private Diffusion Models☆106Dec 26, 2023Updated 2 years ago
- A library providing general-purpose tools for estimating discrete distributions from noisy observations of their marginals.☆115May 8, 2026Updated 2 weeks ago
- ☆23Dec 9, 2022Updated 3 years ago
- Hadamard Response: Communication efficient, sample optimal, linear time locally private learning of distributions☆16Sep 18, 2020Updated 5 years ago
- Official Code for FedRule: Federated Rule Recommendation System with Graph Neural Networks☆14Sep 12, 2023Updated 2 years ago
- Differentially-private Wasserstein GAN implementation in PyTorch☆29Nov 1, 2019Updated 6 years ago
- A toolbox for differentially private data generation☆130Jul 6, 2023Updated 2 years ago
- A module for the Matrix-Variate Gaussian (MVG) mechanism for differential privacy under matrix-valued query.☆19Aug 12, 2020Updated 5 years ago
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆78Nov 6, 2025Updated 6 months ago
- 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.
- The first differentially-private diffusion model for tabular data☆35Jun 5, 2024Updated last year
- An implementation of "Data Synthesis via Differentially Private Markov Random Fields"☆15Apr 2, 2024Updated 2 years ago
- ☆14Dec 23, 2020Updated 5 years ago
- A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR☆101Apr 8, 2026Updated last month
- Statistical Counterexample Detector for Differential Privacy☆28Apr 4, 2024Updated 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
- This repository contains the implementation of DPMLBench: Holistic Evaluation of Differentially Private Machine Learning☆11Nov 24, 2023Updated 2 years ago
- 建立基于差分隐私的贝叶斯网络，使得结构化数据同时兼备隐私性与效用性☆30Jan 31, 2021Updated 5 years ago
- ☆42Sep 6, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆18Feb 7, 2024Updated 2 years ago
- COR-GAN: Correlation-Capturing Convolutional Neural Networks for Generating Synthetic Healthcare Records☆57Dec 15, 2020Updated 5 years ago
- Utility-aware synthesis of differentially private and attack-resilient location traces☆25Jan 20, 2019Updated 7 years ago
- Accompanying source code to my Bachelor's thesis at TUHH☆11Mar 15, 2018Updated 8 years ago
- Differentially-private transformers using HuggingFace and Opacus☆148Aug 28, 2024Updated last year
- ☆35Oct 12, 2022Updated 3 years ago
- Benchmarking synthetic data generation methods.☆307May 8, 2026Updated 2 weeks ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Apr 29, 2021Updated 5 years ago
- A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.☆661Apr 21, 2026Updated last month
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Tools and service for differentially private processing of tabular and relational data☆296May 1, 2026Updated 3 weeks ago
- A TensorFlow (Python 3) implementation of a differentially-private-GAN.☆20Feb 21, 2020Updated 6 years ago
- 📈 🐍 Multidimensional synthetic data generation with Copula and fPCA models in Python☆68Sep 28, 2023Updated 2 years ago
- ☆26Mar 9, 2023Updated 3 years ago
- A curated list of awesome resources for creating synthetic data☆45Feb 16, 2022Updated 4 years ago
- sEEG software☆17Feb 11, 2026Updated 3 months ago
- A codebase that makes differentially private training of transformers easy.☆189Dec 9, 2022Updated 3 years ago