3 papers
cs.CR2024
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
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…
quant-ph2024
Hardware-efficient quantum error correction via concatenated bosonic qubits
Harald Putterman, Kyungjoo Noh, Connor T. Hann +118
In order to solve problems of practical importance, quantum computers will likely need to incorporate quantum error correction, where a logical qubit is redundantly encoded in many…