Differentially Private (tabular) Generative Models Papers with Code
☆55Jul 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
Sorting:
- ☆17Mar 30, 2023Updated 2 years ago
- End-to-end codebase for finetuning LLMs (LLaMA 2, 3, etc.) with or without DP☆16Sep 23, 2024Updated last year
- The code of "dp-promise: Differentially Private Diffusion Probabilistic Models for Image Synthesis"☆23Apr 5, 2024Updated last year
- Differentially Private Diffusion Models☆105Dec 26, 2023Updated 2 years ago
- Differentially-private Wasserstein GAN implementation in PyTorch☆28Nov 1, 2019Updated 6 years ago
- This repository contains the implementation of DPMLBench: Holistic Evaluation of Differentially Private Machine Learning☆11Nov 24, 2023Updated 2 years ago
- The first differentially-private diffusion model for tabular data☆33Jun 5, 2024Updated last year
- A toolbox for differentially private data generation☆130Jul 6, 2023Updated 2 years ago
- Implementations of differentially private release mechanisms for graph statistics☆24May 6, 2022Updated 3 years ago
- ☆15Jun 26, 2023Updated 2 years ago
- Official Code for FedRule: Federated Rule Recommendation System with Graph Neural Networks☆13Sep 12, 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
- ☆14Dec 23, 2020Updated 5 years ago
- A module for the Matrix-Variate Gaussian (MVG) mechanism for differential privacy under matrix-valued query.☆19Aug 12, 2020Updated 5 years ago
- An implementation of "Data Synthesis via Differentially Private Markov Random Fields"☆15Apr 2, 2024Updated last year
- Hadamard Response: Communication efficient, sample optimal, linear time locally private learning of distributions☆16Sep 18, 2020Updated 5 years ago
- Quantitative Information Flow library for python and C++.☆17Sep 4, 2025Updated 6 months ago
- ☆45Jul 9, 2021Updated 4 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 3 months ago
- A TensorFlow (Python 3) implementation of a differentially-private-GAN.☆20Feb 21, 2020Updated 6 years ago
- A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.☆640Feb 11, 2026Updated 3 weeks ago
- Benchmarking synthetic data generation methods.☆300Updated this week
- 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☆29Jan 31, 2021Updated 5 years ago
- ☆27Mar 9, 2023Updated 2 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆278Dec 5, 2023Updated 2 years ago
- An awesome list of papers on privacy attacks against machine learning☆634Mar 18, 2024Updated last year
- Official GitHub for CTAB-GAN+☆85May 14, 2024Updated 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
- Implementation of the paper: "FinDiff: Diffusion Models for Financial Tabular Data Generation"☆34Aug 4, 2024Updated last year
- ☆34Oct 12, 2022Updated 3 years ago
- Official git for "CTAB-GAN: Effective Table Data Synthesizing"☆95Jan 19, 2024Updated 2 years ago
- Tracklib library provide a variety of tools, operators and functions to manipulate GPS trajectories☆15Updated this week
- This is the code repository for a project at Ulm University. It's a fall detection system based on address-event-based cameras.☆11Sep 29, 2017Updated 8 years ago
- ☆10Jan 18, 2022Updated 4 years ago
- A Simple Web Crawler from Scratch.☆11Dec 2, 2017Updated 8 years ago
- ☆274Apr 3, 2024Updated last year
- Cryptographically Secure Aggregation for Federated Learning☆11Jan 24, 2023Updated 3 years ago
- ☆11Nov 27, 2024Updated last year
- ☆12Oct 17, 2024Updated last year