110 citations · 280 across the 12 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.LG2018★ 4 cited
Towards Principled Uncertainty Estimation for Deep Neural Networks
Richard Harang, Ethan M. Rudd
When the cost of misclassifying a sample is high, it is useful to have an accurate estimate of uncertainty in the prediction for that sample. There are also multiple types of uncer…
cs.CR2018
MEADE: Towards a Malicious Email Attachment Detection Engine
Ethan M. Rudd, Richard Harang, Joshua Saxe
Malicious email attachments are a growing delivery vector for malware. While machine learning has been successfully applied to portable executable (PE) malware detection, we ask, c…
cs.CR2018★ 1 cited
A Deep Learning Approach to Fast, Format-Agnostic Detection of Malicious Web Content
Joshua Saxe, Richard Harang, Cody Wild +1
Malicious web content is a serious problem on the Internet today. In this paper we propose a deep learning approach to detecting malevolent web pages. While past work on web conten…