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cs.CR2026

ARVO: Atlas of Reproducible Vulnerabilities for Open-Source Software

Xiang Mei, Jordi Del Castillo, Pulkit Singh Singaria +8

Achieving reproducibility, quantity, and diversity in vulnerability datasets has long been viewed as an inherent three-way trade-off, where improving one dimension often comes at t…

cs.CR2026

ARVO: Atlas of Reproducible Vulnerabilities for Open-Source Software

Xiang Mei, Jordi Del Castillo, Pulkit Singh Singaria +8

Achieving reproducibility, quantity, and diversity in vulnerability datasets has long been viewed as an inherent three-way trade-off, where improving one dimension often comes at t…

cs.CR2026

Beyond Attack Success Rate: Examining Trigger Leakage in Vision-Language Agentic Systems

Jiamin Chang, Salil Kanhere, Piotr Koniusz +3

Vision-Language Agentic Systems (VLAS) connect visual perception to planning, tool use, and physical actions. This means backdoor-type triggers can propagate through both decision…

cs.CR20262 cited

From CVE Entries to Verifiable Exploits: An Automated Multi-Agent Framework for Reproducing CVEs

Saad Ullah, Praneeth Balasubramanian, Wenbo Guo +5

High-quality datasets of real-world vulnerabilities and their corresponding verifiable exploits are crucial resources in software security research. Yet such resources remain scarc…

cs.CR2025

Logic Meets Magic: LLMs Cracking Smart Contract Vulnerabilities

ZeKe Xiao, Qin Wang, Hammond Pearce +1

Smart contract vulnerabilities caused significant economic losses in blockchain applications. Large Language Models (LLMs) provide new possibilities for addressing this time-consum…

cs.CR2024

LLMs Cannot Reliably Identify and Reason About Security Vulnerabilities (Yet?): A Comprehensive Evaluation, Framework, and Benchmarks

Saad Ullah, Mingji Han, Saurabh Pujar +3

Large Language Models (LLMs) have been suggested for use in automated vulnerability repair, but benchmarks showing they can consistently identify security-related bugs are lacking.…