Jack W. Stokes | DeepAI

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Eric Horvitz
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∙ 05/29/2022

Radial Spike and Slab Bayesian Neural Networks for Sparse Data in Ransomware Attacks

Ransomware attacks are increasing at an alarming rate, leading to large ...

0 Jurijs Nazarovs, et al. ∙

∙ 11/30/2021

Living-Off-The-Land Command Detection Using Active Learning

In recent years, enterprises have been targeted by advanced adversaries ...

0 Talha Ongun, et al. ∙

∙ 06/09/2021

URLTran: Improving Phishing URL Detection Using Transformers

Browsers often include security features to detect phishing web pages. I...

0 Pranav Maneriker, et al. ∙

∙ 05/20/2021

Preventing Machine Learning Poisoning Attacks Using Authentication and Provenance

Recent research has successfully demonstrated new types of data poisonin...

0 Jack W. Stokes, et al. ∙

∙ 10/01/2020

Designing Indicators to Combat Fake Media

The growth of misinformation technology necessitates the need to identif...

0 Imani N. Sherman, et al. ∙

∙ 01/22/2020

AMP: Authentication of Media via Provenance

Advances in graphics and machine learning have led to the general availa...

0 Paul England, et al. ∙

∙ 04/01/2019

ScriptNet: Neural Static Analysis for Malicious JavaScript Detection

Malicious scripts are an important computer infection threat vector in t...

0 Jack W. Stokes, et al. ∙

∙ 06/28/2018

Robust Neural Malware Detection Models for Emulation Sequence Learning

Malicious software, or malware, presents a continuously evolving challen...

0 Rakshit Agrawal, et al. ∙

∙ 05/15/2018

Neural Classification of Malicious Scripts: A study with JavaScript and VBScript

Malicious scripts are an important computer infection threat vector. Our...

0 Jack W. Stokes, et al. ∙

∙ 12/16/2017

Attack and Defense of Dynamic Analysis-Based, Adversarial Neural Malware Classification Models

Recently researchers have proposed using deep learning-based systems for...

0 Jack W. Stokes, et al. ∙

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