Analyzing and revivifying function signature inference using deep learning

• Main Authors: LIN, Yan, SINGHAL, Trisha, GAO, Debin, LO, David
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Function signature; recurrent neural network; compiler optimization; control-flow integrity; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/9621; https://ink.library.smu.edu.sg/context/sis_research/article/10621/viewcontent/emse24_FunctionSignature_av.pdf
• Institution: Singapore Management University

Function signature plays an important role in binary analysis and security enhancement, with typical examples in bug finding and control-flow integrity enforcement. However, recovery of function signatures by static binary analysis is challenging since crucial information vital for such recovery is...