ganevgv / dp-generative-modelsLinks
Differentially Private (tabular) Generative Models Papers with Code
☆51Updated 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:
- An implementation of the tools described in the paper entitled "Graphical-model based estimation and inference for differential privacy"☆103Updated this week
- ☆39Updated 2 years ago
- ☆36Updated last year
- Fast, memory-efficient, scalable optimization of deep learning with differential privacy☆125Updated 2 months ago
- Analytic calibration for differential privacy with Gaussian perturbations☆48Updated 6 years ago
- A library for running membership inference attacks against ML models☆148Updated 2 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆274Updated last year
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆73Updated last year
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Updated 3 years ago
- An implementation of "Data Synthesis via Differentially Private Markov Random Fields"☆13Updated last year
- A toolbox for differentially private data generation☆132Updated 2 years ago
- Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…☆40Updated last year
- Python package to create adversarial agents for membership inference attacks againts machine learning models☆47Updated 6 years ago
- Differential private machine learning☆194Updated 3 years ago
- [NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*…☆30Updated 3 years ago
- PrivGAN: Protecting GANs from membership inference attacks at low cost☆33Updated last year
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Updated 2 years ago
- ☆13Updated 2 years ago
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆670Updated 3 months ago
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆74Updated last year
- ☆314Updated 3 weeks ago
- Implementation of local differential privacy mechanisms in Python language.☆29Updated 3 years ago
- Implementations of differentially private release mechanisms for graph statistics☆24Updated 3 years ago
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆192Updated 7 years ago
- Code accompanying the paper "Disparate Impact in Differential Privacy from Gradient Misalignment".☆10Updated 2 years ago
- Differentially Private Conditional Generative Adversarial Network☆31Updated 3 years ago
- Sample LDP implementation in Python☆129Updated 2 years ago
- Differentially-private Wasserstein GAN implementation in PyTorch☆28Updated 5 years ago
- This repo implements several algorithms for learning with differential privacy.☆108Updated 2 years ago
- ☆191Updated last year