Showing cs.CRShow all
3 papers · 1 filter
cs.CR2026
When LLM Decompilers Recompile More and Preserve Less
Chang Liu, Edward Raff, Kristopher Micinski
Decompilation recovers high-level source from compiled machine code and serves as a foundation for security tasks such as vulnerability detection and malware analysis. Traditional…
cs.CR2026
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage
Chang Liu, Noah Fleischmann, Nicolò Altamura +3
Existing binary corpora typically capture only one or two axes of binary variation: they either provide cross-compiler builds without a temporal axis, or CVE labels for single-buil…
cs.CR2024
Assemblage: Automatic Binary Dataset Construction for Machine Learning
Chang Liu, Rebecca Saul, Yihao Sun +5
Binary code is pervasive, and binary analysis is a key task in reverse engineering, malware classification, and vulnerability discovery. Unfortunately, while there exist large corp…