activity
20242026
most citedAttacKG+:Boosting Attack Knowledge Graph Construction with Large Language Models

3 citations · 7 across the 5 of their papers we have counts for

collaborators

6 papers

cs.NI2026

Shortcut in Generalization: Rethinking Evaluation Protocol for Encrypted Traffic Classification

Qiming Yu, Chungang Lin, Zhengyi Ma +4

Encrypted traffic classification is commonly evaluated under a range of experimental protocols, with classification performance reported as the primary measure. However, the report…

cs.CR2025★ 1 cited

MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models

Yongheng Zhang, Xinyun Zhao, Yunshan Ma +5

Cyber Threat Intelligence (CTI) parsing aims to extract key threat information from massive data, transform it into actionable intelligence, enhance threat detection and defense ef…

cs.CR2024★ 3 cited

Yama: Precise Opcode-based Data Flow Analysis for Detecting PHP Applications Vulnerabilities

Zhao Jiazhen, Zhu Kailong, Yu Lu +2

Web applications encompass various aspects of daily life, including online shopping, e-learning, and internet banking. Once there is a vulnerability, it can cause severe societal a…

cs.NI2024

ZBanner: Fast Stateless Scanning Capable of Obtaining Responses over TCP

Chiyu Chen, Yuliang Lu, Guozheng Yang +2

Fast large-scale network scanning is an important way to understand internet service configurations and security in real time, among which stateless scan is representative. Existin…

cs.CR2024★ 3 cited

AttacKG+:Boosting Attack Knowledge Graph Construction with Large Language Models

Yongheng Zhang, Tingwen Du, Yunshan Ma +5

Attack knowledge graph construction seeks to convert textual cyber threat intelligence (CTI) reports into structured representations, portraying the evolutionary traces of cyber at…

cs.CV2024

MGE: A Training-Free and Efficient Model Generation and Enhancement Scheme

Xuan Wang, Zeshan Pang, Yuliang Lu +1

To provide a foundation for the research of deep learning models, the construction of model pool is an essential step. This paper proposes a Training-Free and Efficient Model Gener…