A Survey on Private Transformer Inference with Homomorphic Encryption

YANG LI, Jun Zhao

Keywords: Transformer models, AI safety, Private inference

TL;DR: This paper reviews recent private transformer inference advancements focusing on homomorphic encryption.

Confirmation Of Submission Requirements: I submit an abstract. It uses the template provided on the submission page and is no longer than 2 pages.

Submission Number: 44