SigmaDiff: Semantics-aware deep graph matching for pseudocode diffing
Pseudocode diffing precisely locates similar parts and captures differences between the decompiled pseudocode of two given binaries. It is particularly useful in many security scenarios such as code plagiarism detection, lineage analysis, patch, vulnerability analysis, etc. However, existing pseudoc...
Saved in:
Main Authors: | GAO, Lian, QU, Yu, YU, Sheng, DUAN, Yue, YIN, Heng |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2024
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/8668 https://ink.library.smu.edu.sg/context/sis_research/article/9671/viewcontent/2024_208_paper__1_.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
DiffChaser: Detecting disagreements for deep neural networks
by: XIE, Xiaofei, et al.
Published: (2019) -
CloneDiff - Semantic differencing of clones
by: Xue, Y., et al.
Published: (2013) -
Deepbindiff: Learning program-wide code representations for binary diffing
by: DUAN, Yue, et al.
Published: (2020) -
Discrete instantaneous frequency (DIF) estimation
by: Lum, Soon Wah.
Published: (2009) -
An empirical study on robustness of DNNs with out-of-distribution awareness
by: ZHOU, Lingjun, et al.
Published: (2020)