nesl / nist_differential_privacy_synthetic_data_challenge
UCLANesl - NIST Differential Privacy Challenge (Match 3)
☆24Updated 5 years ago
Alternatives and similar repositories for nist_differential_privacy_synthetic_data_challenge:
Users that are interested in nist_differential_privacy_synthetic_data_challenge are comparing it to the libraries listed below
- This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.☆64Updated 6 years ago
- ☆38Updated 2 years ago
- SAP Security research sample code and tutorials for generating differentially private synthetic datasets using generative deep learning m…☆23Updated last year
- Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010☆62Updated 4 years ago
- ☆10Updated last year
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆34Updated 3 years ago
- Source code of paper "Differentially Private Generative Adversarial Network"☆69Updated 6 years ago
- ☆43Updated 3 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆131Updated 2 years ago
- A library for running membership inference attacks against ML models☆144Updated 2 years ago
- Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data☆33Updated 6 years ago
- A toolbox for differentially private data generation☆131Updated last year
- Github pages backend for https://differentialprivacy.org☆26Updated this week
- This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.☆26Updated 4 years ago
- Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking …☆103Updated 5 years ago
- ☆23Updated last year
- autodp: A flexible and easy-to-use package for differential privacy☆275Updated last year
- Differentially Private Optimization for PyTorch 👁🙅♀️☆185Updated 4 years ago
- An implementation of the tools described in the paper entitled "Graphical-model based estimation and inference for differential privacy"☆102Updated this week
- Analytic calibration for differential privacy with Gaussian perturbations☆47Updated 6 years ago
- Differentially Private Conditional Generative Adversarial Network☆31Updated 3 years ago
- Python package to create adversarial agents for membership inference attacks againts machine learning models☆46Updated 6 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆134Updated 4 years ago
- ☆39Updated 2 years ago
- Code for Auditing DPSGD☆37Updated 3 years ago
- ☆49Updated 4 years ago
- ☆16Updated 4 years ago
- A Privacy Preserving Data Mining Platform☆46Updated 12 years ago
- Statistical Counterexample Detector for Differential Privacy☆28Updated last year
- Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs (ACM CCS'21)☆17Updated 2 years ago