most citedSymbol Preference Aware Generative Models for Recovering Variable Names from Stripped Binary

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

collaborators

5 papers

cs.SE2024

ROCAS: Root Cause Analysis of Autonomous Driving Accidents via Cyber-Physical Co-mutation

Shiwei Feng, Yapeng Ye, Qingkai Shi +5

As Autonomous driving systems (ADS) have transformed our daily life, safety of ADS is of growing significance. While various testing approaches have emerged to enhance the ADS reli…

cs.SE2024

CodeArt: Better Code Models by Attention Regularization When Symbols Are Lacking

Zian Su, Xiangzhe Xu, Ziyang Huang +4

Transformer based code models have impressive performance in many software engineering tasks. However, their effectiveness degrades when symbols are missing or not informative. The…

cs.SE2023

PEM: Representing Binary Program Semantics for Similarity Analysis via a Probabilistic Execution Model

Xiangzhe Xu, Zhou Xuan, Shiwei Feng +7

Binary similarity analysis determines if two binary executables are from the same source program. Existing techniques leverage static and dynamic program features and may utilize a…

cs.SE2023★ 4 cited

Symbol Preference Aware Generative Models for Recovering Variable Names from Stripped Binary

Xiangzhe Xu, Zhuo Zhang, Zian Su +8

Decompilation aims to recover the source code form of a binary executable. It has many security applications, such as malware analysis, vulnerability detection, and code hardening.…

cs.CR2023★ 1 cited

Lifting Network Protocol Implementation to Precise Format Specification with Security Applications

Qingkai Shi, Junyang Shao, Yapeng Ye +2

Inferring protocol formats is critical for many security applications. However, existing format-inference techniques often miss many formats, because almost all of them are in a fa…