activity
20212025
most citedAsteria: Deep Learning-based AST-Encoding for Cross-platform Binary Code Similarity Detection

73 citations · 157 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CR2025

Fine-Grained 1-Day Vulnerability Detection in Binaries via Patch Code Localization

Chaopeng Dong, Jingdong Guo, Shouguo Yang +5

1-day vulnerabilities in binaries have become a major threat to software security. Patch presence test is one of the effective ways to detect the vulnerability. However, existing p…

cs.SE2024

BinEnhance: An Enhancement Framework Based on External Environment Semantics for Binary Code Search

Yongpan Wang, Hong Li, Xiaojie Zhu +4

Binary code search plays a crucial role in applications like software reuse detection. Currently, existing models are typically based on either internal code semantics or a combina…

cs.SE2024★ 2 cited

VERCATION: Precise Vulnerable Open-source Software Version Identification based on Static Analysis and LLM

Yiran Cheng, Ting Zhang, Lwin Khin Shar +6

Open-source software (OSS) has experienced a surge in popularity, attributed to its collaborative development model and cost-effective nature. However, the adoption of specific sof…

cs.SE2024★ 5 cited

Enhancing Function Name Prediction using Votes-Based Name Tokenization and Multi-Task Learning

Xiaoling Zhang, Zhengzi Xu, Shouguo Yang +3

Reverse engineers would acquire valuable insights from descriptive function names, which are absent in publicly released binaries. Recent advances in binary function name predictio…

cs.SE2023★ 1 cited

LibAM: An Area Matching Framework for Detecting Third-party Libraries in Binaries

Siyuan Li, Yongpan Wang, Chaopeng Dong +8

Third-party libraries (TPLs) are extensively utilized by developers to expedite the software development process and incorporate external functionalities. Nevertheless, insecure TP…

cs.PL2023

Understand Code Style: Efficient CNN-based Compiler Optimization Recognition System

Shouguo Yang, Zhiqiang Shi, Guodong Zhang +3

Compiler optimization level recognition can be applied to vulnerability discovery and binary analysis. Due to the exists of many different compilation optimization options, the dif…

cs.SE2023★ 6 cited

Asteria-Pro: Enhancing Deep-Learning Based Binary Code Similarity Detection by Incorporating Domain Knowledge

Shouguo Yang, Chaopeng Dong, Yang Xiao +4

The widespread code reuse allows vulnerabilities to proliferate among a vast variety of firmware. There is an urgent need to detect these vulnerable code effectively and efficientl…

cs.SE2022★ 70 cited

Towards Understanding Third-party Library Dependency in C/C++ Ecosystem

Wei Tang, Zhengzi Xu, Chengwei Liu +5

Third-party libraries (TPLs) are frequently reused in software to reduce development cost and the time to market. However, external library dependencies may introduce vulnerabiliti…

cs.CR2021★ 73 cited

Asteria: Deep Learning-based AST-Encoding for Cross-platform Binary Code Similarity Detection

Shouguo Yang, Long Cheng, Yicheng Zeng +3

Binary code similarity detection is a fundamental technique for many security applications such as vulnerability search, patch analysis, and malware detection. There is an increasi…