6 citations · 6 across the 8 of their papers we have counts for
8 papers
CLIR: Liveness-Driven and Structure-Aware Fuzzing for the Cranelift Compiler
Shangtong Cao, Tianlei Song, Qiuping Yi +4
Modern compilers are complex software systems that must correctly translate high-level programming languages into machine code across multiple architectures. Cranelift, a fast and…
A Dual-Loop Agent Framework for Automated Vulnerability Reproduction
Bin Liu, Yanjie Zhao, Zhenpeng Chen +2
Automated vulnerability reproduction from CVE descriptions requires generating executable Proof-of-Concept (PoC) exploits and validating them in target environments. This process i…
LLM Agents for Automated Web Vulnerability Reproduction: Are We There Yet?
Bin Liu, Yanjie Zhao, Guoai Xu +1
Large language model (LLM) agents have demonstrated remarkable capabilities in software engineering and cybersecurity tasks, including code generation, vulnerability discovery, and…
On the (In)Security of Non-resettable Device Identifiers in Custom Android Systems
Zikan Dong, Liu Wang, Guoai Xu +1
User tracking is critical in the mobile ecosystem, which relies on device identifiers to build clear user profiles. In earlier ages, Android allowed easy access to non-resettable d…
Same App, Different Behaviors: Uncovering Device-specific Behaviors in Android Apps
Zikan Dong, Yanjie Zhao, Tianming Liu +4
The Android ecosystem faces a notable challenge known as fragmentation, which denotes the extensive diversity within the system. This issue is mainly related to differences in syst…
WALLETRADAR: Towards Automating the Detection of Vulnerabilities in Browser-based Cryptocurrency Wallets
Pengcheng Xia, Yanhui Guo, Zhaowen Lin +8
Cryptocurrency wallets, acting as fundamental infrastructure to the blockchain ecosystem, have seen significant user growth, particularly among browser-based wallets (i.e., browser…
APIGen: Generative API Method Recommendation
Yujia Chen, Cuiyun Gao, Muyijie Zhu +3
Automatic API method recommendation is an essential task of code intelligence, which aims to suggest suitable APIs for programming queries. Existing approaches can be categorized i…
Digger: Detecting Copyright Content Mis-usage in Large Language Model Training
Haodong Li, Gelei Deng, Yi Liu +7
Pre-training, which utilizes extensive and varied datasets, is a critical factor in the success of Large Language Models (LLMs) across numerous applications. However, the detailed…