Published February 11, 2020
| Version v1
Dataset
Open
Benign samples used in article "DeepDetectNet vs RLAttackNet: An Adversarial Method to Improve Deep Learning-based Static Malware Detection Model"
Authors/Creators
- 1. College of Cybersecurity, Sichuan University, Chengdu 610065, China
Description
This repository contains all benign samples used in article "DeepDetectNet vs RLAttackNet: An Adversarial Method to Improve Deep Learning-based Static Malware Detection Model". It is safe to download these samples.
Files
Benign.zip
Files
(1.6 GB)
| Name | Size | Download all |
|---|---|---|
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md5:19ae8f94344143807c2e2b96a02321a2
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1.6 GB | Preview Download |