collaborators

6 papers

cs.CR2026

TitanCA: Lessons from Orchestrating LLM Agents to Discover 100+ CVEs

Ting Zhang, Yikun Li, Chengran Yang +15

Software vulnerabilities remain one of the most persistent threats to modern digital infrastructure. While static application security testing (SAST) tools have long served as the…

cs.SE2026

Mapping NVD Records to Their Vulnerability-fixing Commits: How Hard is It?

Huu Hung Nguyen, Ting Zhang, Duc Manh Tran +7

Mapping National Vulnerability Database (NVD) records to vulnerability-fixing commits (VFCs) is crucial for vulnerability analysis but challenging due to sparse explicit links in N…

cs.CR2026

Out of Distribution, Out of Luck: How Well Can LLMs Trained on Vulnerability Datasets Detect Top 25 CWE Weaknesses?

Yikun Li, Ngoc Tan Bui, Ting Zhang +16

Automated vulnerability detection research has made substantial progress, yet its real-world impact remains limited. Prior work found that current vulnerability datasets suffer fro…

cs.SE2025

CleanVul: Automatic Function-Level Vulnerability Detection in Code Commits Using LLM Heuristics

Yikun Li, Ting Zhang, Ratnadira Widyasari +13

Accurate identification of software vulnerabilities is crucial for system integrity. Vulnerability datasets, often derived from the National Vulnerability Database (NVD) or directl…

cs.SE2025

PatchSeeker: Mapping NVD Records to their Vulnerability-fixing Commits with LLM Generated Commits and Embeddings

Huu Hung Nguyen, Anh Tuan Nguyen, Thanh Le-Cong +8

Software vulnerabilities pose serious risks to modern software ecosystems. While the National Vulnerability Database (NVD) is the authoritative source for cataloging these vulnerab…

cs.SE2025

Benchmarking Large Language Models for Multi-Language Software Vulnerability Detection

Ting Zhang, Chengran Yang, Yindu Su +8

Recent advancements in generative AI have led to the widespread adoption of large language models (LLMs) in software engineering, addressing numerous long-standing challenges. Howe…