Nimbus: Toward Speed Up Function Signature Recovery via Input Resizing and Multi-Task Learning. (arXiv:2211.04219v1 [cs.CR])

Function signature recovery is important for many binary analysis tasks such
as control-flow integrity enforcement, clone detection, and bug finding.
Existing works try to substitute learning-based methods with rule-based methods
to reduce human effort.They made considerable efforts to enhance the system's
performance, which also bring the side effect of higher resource consumption.
However, recovering the function signature is more about providing information
for subsequent tasks, and both efficiency and performance are significant.

In this paper, we first propose a method …

input recovery signature speed speed up task