ryan112358 / mbiLinks
A library providing general-purpose tools for estimating discrete distributions from noisy observations of their marginals.
☆106Updated 3 weeks ago
Alternatives and similar repositories for mbi
Users that are interested in mbi are comparing it to the libraries listed below
Sorting:
- Differentially Private (tabular) Generative Models Papers with Code☆53Updated last year
- ☆40Updated 2 years ago
- ☆36Updated 2 years ago
- Analytic calibration for differential privacy with Gaussian perturbations☆50Updated 7 years ago
- A toolbox for differentially private data generation☆131Updated 2 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆276Updated last year
- A library for running membership inference attacks against ML models☆150Updated 2 years ago
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆678Updated 5 months ago
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆74Updated last year
- Tools and service for differentially private processing of tabular and relational data☆280Updated 2 months ago
- Diffprivlib: The IBM Differential Privacy Library☆888Updated 3 weeks ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Updated 2 years ago
- An implementation of "Data Synthesis via Differentially Private Markov Random Fields"☆13Updated last year
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆535Updated last year
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆76Updated 2 years ago
- Code for computing tight guarantees for differential privacy☆24Updated 2 years ago
- ☆44Updated 4 years ago
- Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010☆61Updated 5 years ago
- Fast, memory-efficient, scalable optimization of deep learning with differential privacy☆131Updated 2 months ago
- Multiple Frequency Estimation Under Local Differential Privacy in Python☆49Updated 2 years ago
- A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR☆92Updated 2 weeks ago
- The core library of differential privacy algorithms powering the OpenDP Project.☆384Updated this week
- [NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*…☆30Updated 3 years ago
- This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.☆63Updated 6 years ago
- PrivGAN: Protecting GANs from membership inference attacks at low cost☆34Updated last year
- ☆325Updated 2 months ago
- Differential private machine learning☆195Updated 3 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Updated 3 years ago
- Source code of paper "Differentially Private Generative Adversarial Network"☆70Updated 6 years ago
- Implementation of local differential privacy mechanisms in Python language.☆29Updated 3 years ago