ReSIL: Revivifying function signature inference using deep learning with domain-specific knowledge
Function signature recovery is important for binary analysis and security enhancement, such as bug finding and control-flow integrity enforcement. However, binary executables typically have crucial information vital for function signature recovery stripped off during compilation. To make things wors...
Saved in:
Main Authors: | LIN, Yan, GAO, Debin, LO, David |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2022
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/7355 https://ink.library.smu.edu.sg/context/sis_research/article/8358/viewcontent/codaspy_22.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Analyzing and revivifying function signature inference using deep learning
by: LIN, Yan, et al.
Published: (2024) -
Authorized function homomorphic signature
by: GUO, Qingwen, et al.
Published: (2018) -
Inferring origin-destination distribution of agent transfer in a complex network using deep gated recurrent units
by: Saw, Vee-Liem, et al.
Published: (2023) -
Scaling human activity recognition via deep learning-based domain adaptation
by: KHAN, Md Abdullah Hafiz, et al.
Published: (2018) -
Understanding the Genetic Makeup of Linux Device Drivers
by: Tschudin, Peter Senna, et al.
Published: (2013)