DexBERT: Effective, task-agnostic and fine-grained representation learning of Android bytecode

DexBERT: Effective, task-agnostic and fine-grained representation learning of Android bytecode

The automation of an increasingly large number of software engineering tasks is becoming possible thanks to Machine Learning (ML). One foundational building block in the application of ML to software artifacts is the representation of these artifacts ( e.g. , source code or executable code) into a f...

Full description

Saved in:
Bibliographic Details
Main Authors: SUN, Tiezhu, ALLIX, Kevin, KIM, Kisub, ZHOU, Xin, KIM, Dongsun, LO, David, BISSYANDE, Tegawendé F., KLEIN, Jacques
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2023
Subjects:
Representation learning
Android app analysis
Code representation
Malicious code localization
Defect prediction
Predictive models
Operating systems
Software engineering
Artificial Intelligence and Robotics
OS and Networks
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/8509
https://ink.library.smu.edu.sg/context/sis_research/article/9512/viewcontent/DexBERT_Effective_Task_Agnostic_and_Fine_Grained_Representation_Learning_of_Android_Bytecode.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/8509
https://ink.library.smu.edu.sg/context/sis_research/article/9512/viewcontent/DexBERT_Effective_Task_Agnostic_and_Fine_Grained_Representation_Learning_of_Android_Bytecode.pdf

Similar Items