A framework for Privacy Preserving Machine Learning
翻译 - 隐私保护机器学习的框架
#计算机科学#A unified framework for privacy-preserving data analysis and machine learning
A simplified library for decentralized, privacy preserving machine learning
Materials about Privacy-Preserving Machine Learning
A curated list of resources for privacy-preserving machine learning
Fast Privacy-Preserving Machine Learning on the GPU
Xaynet represents an agnostic Federated Machine Learning framework to build privacy-preserving AI applications.
Algorithms for Privacy-Preserving Machine Learning in JAX
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collect...
Privacy-Preserving Machine Learning (PPML) Tutorial
News in Privacy-Preserving Machine Learning
Privacy-preserving machine learning with Swift TensorFlow
Privacy Preserving Vertical Federated Learning
Privacy-Preserving Deep Learning via Additively Homomorphic Encryption
Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification
Privacy-Preserving Bitcoin Light Client
RAPPOR: Privacy-Preserving Reporting Algorithms
A privacy preserving NLP framework
resources about federated learning and privacy in machine learning
A Privacy-Preserving Framework Based on TensorFlow