4 papers · 1 filter
HELIOS: Hierarchical Graph Abstraction for Structure-Aware LLM Decompilation
Yonatan Gizachew Achamyeleh, Harsh Thomare, Mohammad Abdullah Al Faruque
Large language models (LLMs) have recently been applied to binary decompilation, yet they still treat code as plain text and ignore the graphs that govern program control flow. Thi…
AGNOMIN -- Architecture Agnostic Multi-Label Function Name Prediction
Yonatan Gizachew Achamyeleh, Tongtao Zhang, Joshua Hyunki Kim +4
Function name prediction is crucial for understanding stripped binaries in software reverse engineering, a key step for \textbf{enabling subsequent vulnerability analysis and patch…
Bridging the PLC Binary Analysis Gap: A Cross-Compiler Dataset and Neural Framework for Industrial Control Systems
Yonatan Gizachew Achamyeleh, Shih-Yuan Yu, Gustavo Quirós Araya +1
Industrial Control Systems (ICS) rely heavily on Programmable Logic Controllers (PLCs) to manage critical infrastructure, yet analyzing PLC executables remains challenging due to d…
CFG2VEC: Hierarchical Graph Neural Network for Cross-Architectural Software Reverse Engineering
Shih-Yuan Yu, Yonatan Gizachew Achamyeleh, Chonghan Wang +3
Mission-critical embedded software is critical to our society's infrastructure but can be subject to new security vulnerabilities as technology advances. When security issues arise…