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
- ☆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
- Differentially Private Diffusion Models☆106Dec 26, 2023Updated 2 years ago
- 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.
- A library providing general-purpose tools for estimating discrete distributions from noisy observations of their marginals.☆114Mar 6, 2026Updated last month
- ☆23Dec 9, 2022Updated 3 years ago
- Differentially-private Wasserstein GAN implementation in PyTorch☆29Nov 1, 2019Updated 6 years ago
- A principled library for tuning, training and evaluating tabular data synthesis on fidelity, privacy and utility. CCS 2025.☆26Aug 17, 2025Updated 8 months 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
- This repository contains all public data, python scripts, and documentation relating to NIST Public Safety Communications Research Divisi…☆12Nov 22, 2022Updated 3 years ago
- Implementations of differentially private release mechanisms for graph statistics☆24May 6, 2022Updated 3 years ago
- ☆15Jun 26, 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.
- The first differentially-private diffusion model for tabular data☆34Jun 5, 2024Updated last year
- ☆14Dec 23, 2020Updated 5 years ago
- A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR☆101Apr 8, 2026Updated 3 weeks ago
- This repository contains the implementation of DPMLBench: Holistic Evaluation of Differentially Private Machine Learning☆11Nov 24, 2023Updated 2 years ago
- Code for paper: "Privately generating tabular data using language models".☆15Jun 13, 2023Updated 2 years ago
- ☆10Oct 18, 2021Updated 4 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
- ☆18Feb 7, 2024Updated 2 years ago
- ☆42Sep 6, 2023Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- [USENIX Security 2024] PrivImage: Differentially Private Synthetic Image Generation using Diffusion Models with Semantic-Aware Pretrainin…☆24Nov 10, 2024Updated last year
- Utility-aware synthesis of differentially private and attack-resilient location traces☆25Jan 20, 2019Updated 7 years ago
- ☆45Jul 9, 2021Updated 4 years ago
- Accompanying source code to my Bachelor's thesis at TUHH☆11Mar 15, 2018Updated 8 years ago
- ☆35Oct 12, 2022Updated 3 years ago
- Benchmarking synthetic data generation methods.☆307Updated this week
- 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.☆659Apr 21, 2026Updated last week
- Tools and service for differentially private processing of tabular and relational data☆294Apr 21, 2026Updated last week
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Quantitative Information Flow library for python and C++.☆17Sep 4, 2025Updated 8 months ago
- A TensorFlow (Python 3) implementation of a differentially-private-GAN.☆20Feb 21, 2020Updated 6 years ago
- ☆26Mar 9, 2023Updated 3 years ago
- A curated list of awesome resources for creating synthetic data☆45Feb 16, 2022Updated 4 years ago
- Implementation of the paper: "FinDiff: Diffusion Models for Financial Tabular Data Generation"☆35Aug 4, 2024Updated last year
- ☆11Nov 27, 2024Updated last year
- Training PyTorch models with differential privacy☆1,922Apr 10, 2026Updated 3 weeks ago