9 citations · 12 across the 2 of their papers we have counts for
2 papers
cs.CR2024★ 9 cited
Fast and Accurate Homomorphic Softmax Evaluation
Wonhee Cho, Guillaume Hanrot, Taeseong Kim +2
Homomorphic encryption is one of the main solutions for building secure and privacy-preserving solutions for Machine Learning as a Service. This motivates the development of homomo…
cs.CR2024★ 3 cited
Encryption-Friendly LLM Architecture
Donghwan Rho, Taeseong Kim, Minje Park +4
Large language models (LLMs) offer personalized responses based on user interactions, but this use case raises serious privacy concerns. Homomorphic encryption (HE) is a cryptograp…