jnear / cs211-data-privacyLinks
☆42Updated 2 years ago
Alternatives and similar repositories for cs211-data-privacy
Users that are interested in cs211-data-privacy are comparing it to the libraries listed below
Sorting:
- autodp: A flexible and easy-to-use package for differential privacy☆275Updated last year
- A curated list of resources for privacy-preserving machine learning☆149Updated 4 years ago
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆540Updated 2 weeks ago
- list of differential-privacy related resources☆317Updated 10 months ago
- ☆328Updated 3 weeks ago
- This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.☆26Updated 5 years ago
- Differential private machine learning☆195Updated 3 years ago
- Statistical Counterexample Detector for Differential Privacy☆28Updated last year
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Updated 2 years ago
- ☆41Updated 2 years ago
- Analytic calibration for differential privacy with Gaussian perturbations☆51Updated 7 years ago
- A Simulator for Privacy Preserving Federated Learning☆96Updated 4 years ago
- A SMPC companion library for Syft☆105Updated last month
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆78Updated 2 weeks ago
- Privacy Preserving Machine Learning (Manning Early Access Program)☆33Updated 2 years ago
- Federated gradient boosted decision tree learning☆68Updated 2 years ago
- ☆45Updated 4 years ago
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆684Updated 6 months ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Updated 4 years ago
- Privacy Preserving Vertical Federated Learning☆220Updated 2 years ago
- TensorFlow World 2019 Tutorial: Privacy-Preserving Machine Learning with TF Encrypted & PySyft☆46Updated 2 years ago
- Diffprivlib: The IBM Differential Privacy Library☆895Updated 2 months ago
- A library providing general-purpose tools for estimating discrete distributions from noisy observations of their marginals.☆108Updated 2 months ago
- Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010☆61Updated 5 years ago
- Naive implementation of basic Differential-Privacy framework and algorithms☆48Updated 3 years ago
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆33Updated 4 years ago
- ☆34Updated 2 years ago
- This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.☆63Updated 7 years ago
- Code for computing tight guarantees for differential privacy☆23Updated 2 years ago
- Various material around private machine learning, some associated with blog☆150Updated 6 years ago