47 citations · 56 across the 21 of their papers we have counts for
7 papers · 1 filter
VulContextBench: A Benchmark for Security Context Retrieval in Coding Agents
Yikun Li, Jinfeng Jiang, Yuheng Yieh +6
Vulnerability-detection benchmarks score the verdict an agent reaches, not the evidence it gathered. A model that recalls a CVE from pretraining therefore scores the same as one th…
CoSA: Context-Aware Severity Assessment via Context Analysis with Large Language Models
Jinfeng Jiang, Yikun Li, Chengran Yang +6
Accurate vulnerability severity assessment is essential for prioritizing remediation, yet manually assessing Common Vulnerability Scoring System (CVSS) base metrics remains labor-i…
Graph Is the Verifier: Agentic Reinforcement Learning for Interprocedural Vulnerability Detection
Yikun Li, Ting Zhang, Jiakun Liu +9
Real-world vulnerabilities often span multiple functions, yet most learning-based detectors classify each function in isolation: on a sample of real CVEs, we find that 71.7% of vul…
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…
Beyond Function-Level Analysis: Context-Aware Reasoning for Inter-Procedural Vulnerability Detection
Yikun Li, Ting Zhang, Jieke Shi +10
Recent progress in ML and LLMs has improved vulnerability detection, and recent datasets have reduced label noise and unrelated code changes. However, most existing approaches stil…
GenSIaC: Toward Security-Aware Infrastructure-as-Code Generation with Large Language Models
Yikun Li, Matteo Grella, Daniel Nahmias +5
In recent years, Infrastructure as Code (IaC) has emerged as a critical approach for managing and provisioning IT infrastructure through code and automation. IaC enables organizati…
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…