3 papers
cs.CR2026
Fully Automated End-to-End Adversary Emulation from MITRE ATT\&CK Based Cyber Threat Intelligence Using LLMs
Jueon Choi, Seojun Lee, Sanggwon Yun +2
This paper presents a fully automated end-to-end framework for adversary emulation from MITRE ATT&CK-aligned CTI reports using LLMs. Unlike prior work, which either executes prewri…
cs.AI2026
Adaptive Parallel Monte Carlo Tree Search for Efficient Test-time Compute Scaling
Hongbeen Kim, Juhyun Lee, Sanghyeon Lee +2
Monte Carlo Tree Search (MCTS) is an effective test-time compute scaling (TTCS) method for improving the reasoning performance of large language models, but its highly variable exe…
cs.OS2025
Adaptive Migration Decision for Multi-Tenant Memory Systems
Hyungjun Cho, Igjae Kim, Kwanghoon Choi +5
Tiered memory systems consisting of fast small memory and slow large memory have emerged to provide high capacity memory in a cost-effective way. The effectiveness of tiered memory…