35 citations · 49 across the 4 of their papers we have counts for
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cs.CR2020★ 13 cited
A survey on practical adversarial examples for malware classifiers
Daniel Park, Bülent Yener
Machine learning based solutions have been very helpful in solving problems that deal with immense amounts of data, such as malware detection and classification. However, deep neur…
cs.CR2020
Towards Obfuscated Malware Detection for Low Powered IoT Devices
Daniel Park, Hannah Powers, Benji Prashker +2
With the increased deployment of IoT and edge devices into commercial and user networks, these devices have become a new threat vector for malware authors. It is imperative to prot…