9 citations · 9 across the 2 of their papers we have counts for
4 papers
DeepAVR: Deep Analysis via Multi-Agent Collaboration for Automated Vulnerability Repair
Woorim Han, Hyunjun Kim, Brian Junekyu Lee +4
Automated Vulnerability Repair (AVR) has emerged as a critical defense against software security flaws, aiming to triage and fix bugs autonomously. Early LLM-based approaches focus…
Rethinking the Capability of Fine-Tuned Language Models for Automated Vulnerability Repair
Woorim Han, Yeongjun Kwak, Miseon Yu +4
Learning-based automated vulnerability repair (AVR) techniques that utilize fine-tuned language models have shown promise in generating vulnerability patches. However, questions re…
Precise Extraction of Deep Learning Models via Side-Channel Attacks on Edge/Endpoint Devices
Younghan Lee, Sohee Jun, Yungi Cho +3
With growing popularity, deep learning (DL) models are becoming larger-scale, and only the companies with vast training datasets and immense computing power can manage their busine…
libmpk: Software Abstraction for Intel Memory Protection Keys
Soyeon Park, Sangho Lee, Wen Xu +2
Intel memory protection keys (MPK) is a new hardware feature to support thread-local permission control on groups of pages without requiring modification of page tables. Unfortunat…