3 papers
cs.LG2025
Traveling Salesman-Based Token Ordering Improves Stability in Homomorphically Encrypted Language Models
Donghwan Rho, Sieun Seo, Hyewon Sung +2
As users increasingly interact with large language models (LLMs) using private information, secure and encrypted communication becomes essential. Homomorphic encryption (HE) provid…
cs.CV2025
Decomposing Complex Visual Comprehension into Atomic Visual Skills for Vision Language Models
Hyunsik Chae, Seungwoo Yoon, Jaden Park +5
Recent Vision-Language Models (VLMs) have demonstrated impressive multimodal comprehension and reasoning capabilities, yet they often struggle with trivially simple visual tasks. I…
cs.CR2025
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…