mbrg / differential-privacyLinks
Naive implementation of basic Differential-Privacy framework and algorithms
☆48Updated 2 years ago
Alternatives and similar repositories for differential-privacy
Users that are interested in differential-privacy are comparing it to the libraries listed below
Sorting:
- Code for NIPS'2017 paper☆50Updated 5 years ago
- list of differential-privacy related resources☆313Updated 6 months 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
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Updated 4 years ago
- This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.☆26Updated 4 years ago
- ☆43Updated 4 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Updated 2 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Updated 4 years ago
- Differential private machine learning☆194Updated 3 years ago
- A curated list of resources for privacy-preserving machine learning☆150Updated 3 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 7 years ago
- A Simulator for Privacy Preserving Federated Learning☆94Updated 4 years ago
- News in Privacy-Preserving Machine Learning☆12Updated 5 years ago
- Sample LDP implementation in Python☆129Updated 2 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆274Updated last year
- Privacy Preserving Vertical Federated Learning☆218Updated 2 years ago
- ☆57Updated 3 years ago
- Analytic calibration for differential privacy with Gaussian perturbations☆48Updated 6 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆22Updated 4 years ago
- Secure Aggregation for FL☆35Updated last year
- SecMML (Queqiao): Secure MPC (multi-party computation) Machine Learning Framework.☆113Updated 2 years ago
- Privacy-preserving Deep Learning based on homomorphic encryption (HE)☆34Updated 3 years ago
- ☆88Updated 5 years ago
- Useful tools for differential privacy☆216Updated 2 years ago
- Intel Paillier Cryptosystem Library is an open-source library which provides accelerated performance of a partial homomorphic encryption …☆56Updated last month
- Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing☆51Updated 4 years ago
- Materials about Privacy-Preserving Machine Learning☆254Updated 5 months ago
- A SMPC companion library for Syft☆104Updated last month
- Repository for collection of research papers on privacy.☆341Updated last year
- Credit Approval Classification Deep Learning Model using Differential Drivacy, Secure Multi-Party Computation, and Federated Learning☆23Updated 2 years ago