3 papers
cs.CR2025
Tady: A Neural Disassembler without Structural Constraint Violations
Siliang Qin, Fengrui Yang, Hao Wang +4
Disassembly is a crucial yet challenging step in binary analysis. While emerging neural disassemblers show promise for efficiency and accuracy, they frequently generate outputs vio…
cs.CR2025
Mono: Is Your "Clean" Vulnerability Dataset Really Solvable? Exposing and Trapping Undecidable Patches and Beyond
Zeyu Gao, Junlin Zhou, Bolun Zhang +4
The quantity and quality of vulnerability datasets are essential for developing deep learning solutions to vulnerability-related tasks. Due to the limited availability of vulnerabi…
cs.SE2025
DecompileBench: A Comprehensive Benchmark for Evaluating Decompilers in Real-World Scenarios
Zeyu Gao, Yuxin Cui, Hao Wang +4
Decompilers are fundamental tools for critical security tasks, from vulnerability discovery to malware analysis, yet their evaluation remains fragmented. Existing approaches primar…