prashmohan / GUPTLinks
A Privacy Preserving Data Mining Platform
☆46Updated 13 years ago
Alternatives and similar repositories for GUPT
Users that are interested in GUPT are comparing it to the libraries listed below
Sorting:
- ☆43Updated 4 years ago
- ☆38Updated 3 years ago
- Naive implementation of basic Differential-Privacy framework and algorithms☆48Updated 2 years ago
- A library for Partially Homomorphic Encryption in Python☆623Updated last year
- Python Implementation for Mondrian Multidimensional K-Anonymity (Mondrian).☆174Updated last year
- Dataflow analysis & differential privacy for SQL queries. This project is deprecated and not maintained.☆401Updated 5 years ago
- This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.☆63Updated 6 years ago
- Various material around private machine learning, some associated with blog☆149Updated 5 years ago
- list of differential-privacy related resources☆312Updated 6 months ago
- This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.☆26Updated 4 years ago
- This repository is a fork of Microsoft Research's homomorphic encryption implementation, the Simple Encrypted Arithmetic Library (SEAL). …☆229Updated 5 years ago
- Model extraction attacks on Machine-Learning-as-a-Service platforms.☆350Updated 4 years ago
- Diffprivlib: The IBM Differential Privacy Library☆873Updated 2 months ago
- Statistical Counterexample Detector for Differential Privacy☆28Updated last year
- Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010☆59Updated 5 years ago
- Tools and service for differentially private processing of tabular and relational data☆273Updated 2 weeks ago
- Code for NIPS'2017 paper☆50Updated 5 years ago
- Differentially private learning on distributed data (NIPS 2017)☆12Updated 7 years 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
- tf-trusted allows you to run TensorFlow models in secure enclaves☆87Updated 4 years ago
- A curated list of resources for privacy-preserving machine learning☆150Updated 3 years ago
- QGIS differential privacy processing plugin☆23Updated 9 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆273Updated last year
- A set of tutorials to implement the Federated Averaging algorithm on TensorFlow.☆182Updated 4 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Updated 2 years ago
- Pure Python Paillier Homomorphic Cryptosystem☆134Updated 6 years ago
- UCLANesl - NIST Differential Privacy Challenge (Match 3)☆24Updated 6 years ago
- Python language bindings for smartnoise-core.☆76Updated 2 years ago
- Secure collaborative training and inference for XGBoost.☆105Updated 2 years ago
- Differential private machine learning☆195Updated 3 years ago