activity
20242026
most citedDigger: Detecting Copyright Content Mis-usage in Large Language Model Training

6 citations · 6 across the 8 of their papers we have counts for

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Showing cs.SEShow all

5 papers · 1 filter

cs.SE2026

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…

cs.SE2026

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…

cs.SE2025

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…

cs.SE2024

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…

cs.SE2024

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…