9 citations · 9 across the 7 of their papers we have counts for
8 papers
SEMPRE: Semantic-Aware Protocol Reverse Engineering via Consistency-Driven Joint Optimization
Yihua Xu, Weijie Huang, Xiaofeng Wang +3
Protocol reverse engineering (PRE) is essential for understanding undocumented or proprietary communication formats, enabling security-critical tasks such as vulnerability discover…
Multi-Channel Spread-Spectrum Code Watermarking
Soohyeon Choi, Debin Gao, Yue Duan
Attributing code to the large language model that produced it is essential for provenance, licensing, and misuse accountability, yet no deployed watermark meets this need. Generati…
MoCo-EA: Exploiting Adversarial Mode Connectivity for Efficient Evolutionary Attacks
Hyo Seo Kim, Gang Luo, Can Chen +3
Evolutionary algorithms for adversarial attacks leverage population-based search to discover perturbations without gradient information, but suffer from inefficient crossover opera…
Compositional Jailbreaking: An Empirical Analysis of Mutator Chain Interactions in Aligned LLMs
Reinelle Jan Bugnot, Soohyeon Choi, Hoon Wei Lim +1
Jailbreaking attacks on large language models pose a significant threat to AI safety by enabling the generation of harmful or restricted content. While prior work has explored both…
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…
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.…
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…
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…