collaborators

6 papers

cs.CR2026

No, Your Tools Are Not Enough: It's Time to Bring Agents to the Hunt

Ati Priya Bajaj, Xiang Mei, Tiffany Bao +3

Modern software systems are large and complex, demanding scalable and autonomous techniques for vulnerability discovery. Existing approaches still depend on human expertise for dom…

cs.SE2026

HoldSpec: A Machine-Checked Model and Conformance Suite for the Payment Authorization Hold Lifecycle

Abhishek Sharma

When a merchant authorizes a card and captures the funds later, the money sits in a state that neither party fully controls: held on the cardholder's account, not yet taken, and du…

cs.CR2026

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…

cs.CR2026

SCRIBE: Practical Static Binary Patching via Binary-Aware Recompilation of Decompiled Code

Han Dai, Soumyakant Priyadarshan, Abdullah Imran +2

When source code or the original toolchain is unavailable, patching binaries is difficult because it requires editing low-level assembly code directly. As an alternative, one can d…

cs.SE2025

BuildBench: Benchmarking LLM Agents on Compiling Real-World Open-Source Software

Zehua Zhang, Ati Priya Bajaj, Divij Handa +14

Automatically compiling open-source software (OSS) projects is a vital, labor-intensive, and complex task, which makes it a good challenge for LLM Agents. Existing methods rely on…

cs.CR2025

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning

Muqi Zou, Hongyu Cai, Hongwei Wu +9

As one of the key tools in many security tasks, decompilers reconstruct human-readable source code from binaries. Yet, despite recent advances, their outputs often suffer from synt…