directed fuzzing 1large language models 1seed generation 1static analysis 1vulnerability detection 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.CR2026
SeedSmith: LLM-Driven Seed Synthesis for Directed Fuzzing
Junmin Zhu, Siyu Liu, Jie Hu +7
The paper introduces SeedSmith, an LLM‑driven pipeline that automatically creates input seeds targeting specific sink functions and crash preconditions, improving the effectiveness…
cs.CR2026
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
MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation
Eunjin Roh, Yigitcan Kaya, Christopher Kruegel +2
We present MADCAT, a self-supervised approach designed to address the concept drift problem in malware detection. MADCAT employs an encoder-decoder architecture and works by test-t…