Investigating the Generation of Adversarial Malware Features and the Use of Adversarial Training

Author:

Djaneye-Boundjou Ouboti,Messay-Kebede Temesguen,Kapp David

Funder

Air Force Research Laboratory

Publisher

IEEE

Reference16 articles.

1. Perfor-mance analysis of machine learning and pattern recognition algorithms for malware classification;narayanan;2016 IEEE National Aerospace and Electronics Conference (NAECON) and Ohio Innovation Summit (OIS) NAECON,0

2. Classification of Malware programs using autoencoders based deep learning architecture and its application to the microsoft malware Classification challenge (BIG 2015) dataset

3. Com-bination of traditional and deep learning based architectures to overcome class imbalance and its application to malware classification;messay-kebede;NAECON 2018 - IEEE National Aerospace and Electronics Conference,0

4. Static Analysis through Topic Modeling and its Application to Malware Programs Classification

5. Malware images

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