activity
20242026
most citedVulnLLMEval: A Framework for Evaluating Large Language Models in Software Vulnerability Detection and Patching

1 citations · 2 across the 5 of their papers we have counts for

collaborators

6 papers

cs.SE2026

AutoTrace: From Patches to Triggers via Agentic Interprocedural Exploration

Arastoo Zibaeirad, Marco Vieira, Thomas Zimmermann

Given a vulnerability-fixing commit, trigger localization asks which specific statement turns the vulnerable program state into a concrete unsafe operation. This question is harder…

cs.CR2026

Calibration Without Comprehension: Diagnosing the Limits of Fine-Tuning LLMs for Vulnerability Detection in Systems Software

Arastoo Zibaeirad, Marco Vieira

Whether LLMs scoring well on vulnerability benchmarks genuinely reason about security or merely pattern-match on contaminated data remains unresolved. We present CWE-Trace, a frame…

cs.SE2026

LLM-Based Robustness Testing of Microservice Applications: An Empirical Study

Hrushitha Goud Tigulla, Marco Vieira

Malformed, missing, or boundary-value inputs in microservice APIs can cascade across dependent services, threatening reliability. Robustness testing systematically exercises such i…

cs.SE2025

Diverse LLMs vs. Vulnerabilities: Who Detects and Fixes Them Better?

Arastoo Zibaeirad, Marco Vieira

Large Language Models (LLMs) are increasingly being studied for Software Vulnerability Detection (SVD) and Repair (SVR). Individual LLMs have demonstrated code understanding abilit…

cs.SE2025★ 1 cited

Reasoning with LLMs for Zero-Shot Vulnerability Detection

Arastoo Zibaeirad, Marco Vieira

Automating software vulnerability detection (SVD) remains a critical challenge in an era of increasingly complex and interdependent software systems. Despite significant advances i…

cs.SE2024★ 1 cited

VulnLLMEval: A Framework for Evaluating Large Language Models in Software Vulnerability Detection and Patching

Arastoo Zibaeirad, Marco Vieira

Large Language Models (LLMs) have shown promise in tasks like code translation, prompting interest in their potential for automating software vulnerability detection (SVD) and patc…