Email Threat Detection Using Distinct Neural Network Approaches

no code implementations • LREC 2020 • Esteban Castillo, Sreekar Dhaduvai, Peng Liu, Kartik-Singh Thakur, Adam Dalton, Tomek Strzalkowski

This paper describes different approaches to detect malicious content in email interactions through a combination of machine learning and natural language processing tools.

BIG-bench Machine Learning

Active Defense Against Social Engineering: The Case for Human Language Technology

no code implementations • LREC 2020 • Adam Dalton, Ehsan Aghaei, Ehab Al-Shaer, Archna Bhatia, Esteban Castillo, Zhuo Cheng, Sreekar Dhaduvai, Qi Duan, Bryanna Hebenstreit, Md Mazharul Islam, Younes Karimi, Amir Masoumzadeh, Brodie Mather, Sashank Santhanam, Samira Shaikh, Alan Zemel, Tomek Strzalkowski, Bonnie J. Dorr

We describe a system that supports natural language processing (NLP) components for active defenses against social engineering attacks.

Attribute Dialogue Generation +3

The Panacea Threat Intelligence and Active Defense Platform

no code implementations • 20 Apr 2020 • Adam Dalton, Ehsan Aghaei, Ehab Al-Shaer, Archna Bhatia, Esteban Castillo, Zhuo Cheng, Sreekar Dhaduvai, Qi Duan, Md Mazharul Islam, Younes Karimi, Amir Masoumzadeh, Brodie Mather, Sashank Santhanam, Samira Shaikh, Tomek Strzalkowski, Bonnie J. Dorr

We describe Panacea, a system that supports natural language processing (NLP) components for active defenses against social engineering attacks.

Attribute Dialogue Generation +3