SAP-archive / security-research-differentially-private-generative-modelsLinks
SAP Security research sample code and tutorials for generating differentially private synthetic datasets using generative deep learning models
☆23Updated last year
Alternatives and similar repositories for security-research-differentially-private-generative-models
Users that are interested in security-research-differentially-private-generative-models are comparing it to the libraries listed below
Sorting:
- Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data☆33Updated 6 years ago
- UCLANesl - NIST Differential Privacy Challenge (Match 3)☆24Updated 6 years ago
- A toolbox for differentially private data generation☆132Updated 2 years ago
- Differentially private release of semantic rich data☆35Updated 4 years ago
- ☆16Updated 4 years ago
- Source code of paper "Differentially Private Generative Adversarial Network"☆70Updated 6 years ago
- A concise primer on Differential Privacy☆29Updated 5 years ago
- Federated Principal Component Analysis Revisited!☆43Updated 3 years ago
- Differentially-private Wasserstein GAN implementation in PyTorch☆28Updated 5 years ago
- ☆10Updated last year
- Course Material for the Tutorial on Privacy Enhancing Technologies and PPML☆13Updated 3 years ago
- ☆23Updated last year
- This repo contains the underlying code for all the experiments from the paper: "Automatic Discovery of Privacy-Utility Pareto Fronts"☆27Updated 2 years ago
- Differentially Private Optimization for PyTorch 👁🙅♀️☆186Updated 5 years ago
- Related material on Federated Learning☆26Updated 5 years ago
- Fork of the differential privacy module of TF/models/research☆14Updated 5 years ago
- Privacy-preserving generative deep neural networks support clinical data sharing☆106Updated 6 years ago
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated last year
- [NeurIPS 2020] Simple and practical private mean and covariance estimation.☆35Updated 4 years ago
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆34Updated 4 years ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 3 years ago
- Blind Justice Code for the paper "Blind Justice: Fairness with Encrypted Sensitive Attributes", ICML 2018☆14Updated 6 years ago
- Differentially Private Conditional Generative Adversarial Network☆31Updated 3 years ago
- Github pages backend for https://differentialprivacy.org☆26Updated 2 weeks ago
- This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.☆63Updated 6 years ago
- ☆37Updated 3 years ago
- Code for fast dpsgd implementations in JAX/TF☆59Updated 2 years ago
- TextHide: Tackling Data Privacy in Language Understanding Tasks☆31Updated 4 years ago
- A TensorFlow (Python 3) implementation of a differentially-private-GAN.☆20Updated 5 years ago
- Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"☆31Updated 2 years ago