IEEE

CryptDNN: A Fast Privacy-Preserving Deep Neural Network Inference Architecture Based on Cloud-Edge-Client Collaboration

Abstract: Deep neural networks (DNNs) with fully homomorphic encryption (FHE) are gaining traction in Internet of Things (IoT) applications requiring robust protection of data inference and model ...
GitHub

FPE Demo MCP — FF3 Format Preserving Encryption Server

What this does: Deploys the MCP server to DigitalOcean App Platform with HTTPS, giving you a public URL for testing with web-based LLMs like ChatGPT or Claude web connectors.
IEEE

Lightweight and Dynamic Privacy-Preserving Federated Learning via Functional Encryption

Abstract: Federated Learning (FL) is a distributed machine learning framework that allows multiple clients to collaboratively train an intermediate model with keeping data local, however, sensitive ...
Frontiers

A privacy-preserving, on-board satellite image classification technique incorporating homomorphic encryption and transfer learning

Satellite image classification is an important and challenging task in the modern technological age. Satellites can capture images of danger-prone areas with very little effort. However, the size and ...