Richard Harang | DeepAI

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Nicolas Papernot
88 publications
Ananthram Swami
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Patrick McDaniel
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Ethan M. Rudd
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Cody Wild
9 publications
Konstantin Berlin
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Joshua Saxe
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Hillary Sanders
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Felipe N. Ducau
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Younghoo Lee
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∙ 12/14/2020

SOREL-20M: A Large Scale Benchmark Dataset for Malicious PE Detection

In this paper we describe the SOREL-20M (Sophos/ReversingLabs-20 Million...

0 Richard Harang, et al. ∙

∙ 10/07/2020

CATBERT: Context-Aware Tiny BERT for Detecting Social Engineering Emails

Targeted phishing emails are on the rise and facilitate the theft of bil...

0 Younghoo Lee, et al. ∙

∙ 03/13/2019

ALOHA: Auxiliary Loss Optimization for Hypothesis Augmentation

Malware detection is a popular application of Machine Learning for Infor...

0 Ethan M. Rudd, et al. ∙

∙ 10/29/2018

Principled Uncertainty Estimation for Deep Neural Networks

When the cost of misclassifying a sample is high, it is useful to have a...

8 Richard Harang, et al. ∙

∙ 04/22/2018

MEADE: Towards a Malicious Email Attachment Detection Engine

Malicious email attachments are a growing delivery vector for malware. W...

0 Ethan M. Rudd, et al. ∙

∙ 04/13/2018

A Deep Learning Approach to Fast, Format-Agnostic Detection of Malicious Web Content

Malicious web content is a serious problem on the Internet today. In thi...

0 Joshua Saxe, et al. ∙

∙ 04/28/2016

Crafting Adversarial Input Sequences for Recurrent Neural Networks

Machine learning models are frequently used to solve complex security pr...

0 Nicolas Papernot, et al. ∙

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