Year: 2024
Type: conference-paper
Abstract: Homomorphic encryption is one of the main solutions for building secure and privacy-preserving solutions for Machine Learning as a Service, a major challenge in a society where AI becomes more and more pervasive. This motivates the development of homomorphic algorithms for the main building blocks of AI, typically for the components of the various types of neural networks architectures.
Institution: Seoul National University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4403573497