Static Malware Detection Using Stacked BiLSTM and GPT-2

Author:

Demirci Deniz1,Sahin Nazenin1,Sirlancis Melih2,Acarturk Cengiz1ORCID

Affiliation:

1. Informatics Institute, Middle East Technical University, Ankara, Turkey

2. Department of Computer Science and Engineering, The Ohio State University, Columbus, OH, USA

Funder

Middle East Technical University funds

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference38 articles.

1. Image-Based malware classification using ensemble of CNN architectures (IMCEC)

2. Language models are unsupervised multitask learners;radford,2019

3. Adam: A method for stochastic optimization;kingma;Proc Int Conf Learn Represent,0

4. Automatic malware description via attribute tagging and similarity embedding;ducau;arXiv 1905 06262,2019

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