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20242026
most citedAn LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection

9 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2026

Obfuscation as an Effective Signal for Prioritizing Cross-Chain Smart Contract Audits: Large-Scale Measurement and Risk Profiling

Yao Zhao, Zhang Sheng, Shengchen Duan +3

Obfuscation raises the interpretation cost of smart-contract auditing, yet its signals are hard to transfer across chains. We present HOBFNET, a fast surrogate of OBFPROBE, enablin…

cs.SE2025

PDLogger: Automated Logging Framework for Practical Software Development

Shengcheng Duan, Yihua Xu, Sheng Zhang +2

Logging is indispensable for maintaining the reliability and diagnosability of modern software, yet developers still struggle to decide where and how to log effectively. Existing a…

cs.CR2025

Understanding and Characterizing Obfuscated Funds Transfers in Ethereum Smart Contracts

Zhang Sheng, Tan Kia Quang, Shen Wang +3

Scam contracts on Ethereum have rapidly evolved alongside the rise of DeFi and NFT ecosystems, utilizing increasingly complex code obfuscation techniques to avoid early detection.…

cs.CR2024

Disassembling Obfuscated Executables with LLM

Huanyao Rong, Yue Duan, Hang Zhang +4

Disassembly is a challenging task, particularly for obfuscated executables containing junk bytes, which is designed to induce disassembly errors. Existing solutions rely on heurist…

cs.CR2024★ 9 cited

An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection

Shenao Yan, Shen Wang, Yue Duan +4

Large Language Models (LLMs) have transformed code completion tasks, providing context-based suggestions to boost developer productivity in software engineering. As users often fin…