From the 1 of 6 linked papers with an AI index.
1 citations · 1 across the 3 of their papers we have counts for
6 papers
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…
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…
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…
Root-Cause-Driven Automated Vulnerability Repair
Hulin Wang, Zion Leonahenahe Basque, Jie Hu +13
Recent LLM-based systems have made automated vulnerability repair increasingly practical, but two challenges remain. First, without strong signals about where a bug originates, rep…
Pushan: Trace-Free Deobfuscation of Virtualization-Obfuscated Binaries
Ashwin Sudhir, Zion Leonahenahe Basque, Wil Gibbs +9
In the ever-evolving battle against malware, binary obfuscation techniques are a formidable barrier to effective analysis by both human security analysts and automated systems. In…
Take a Step Further: Understanding Page Spray in Linux Kernel Exploitation
Ziyi Guo, Dang K Le, Zhenpeng Lin +6
Recently, a novel method known as Page Spray emerges, focusing on page-level exploitation for kernel vulnerabilities. Despite the advantages it offers in terms of exploitability, s…