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 ...
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 ...
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 ...
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 ...
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 ...