Data Scientist Ke Zhang’s Research Explores Homomorphic Encryption for Privacy-Preserving Marketing

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...
IEEE

An Efficient and Privacy-Preserving Federated Learning Approach Based on Homomorphic Encryption

Abstract: Federated Learning (FL) is a decentralized and collaborative learning approach that ensures the data privacy of each participant. However, recent studies have shown that the private data of ...
IEEE

Enhancing Privacy in Generative AI-Enabled Consumer Electronics Using Homomorphic Encryption and Federated Learning

Abstract: The integration of Generative AI (GAI) into consumer electronics (e.g., smart homes, wearables) introduces critical privacy risks as sensitive user data fuels personalized services. This ...
The New York Times

4 Easy Ways to Make Sure No One Can Read Your Text Messages

We independently review everything we recommend. When you buy through our links, we may earn a commission. Learn more› By Max Eddy Max Eddy is a writer who has covered privacy and security — including ...
GitHub

GitHub - Shiyinq/parasyte: Encrypt any file and hide it inside innocent-looking media files. · GitHub

Parasyte uses AES-256-GCM encryption combined with the polyglot file technique to embed encrypted data inside images (JPEG, PNG) and audio/video media (MP4, MKV, MP3, WAV). The output files look and ...