10 citations · 25 across the 6 of their papers we have counts for
6 papers
Analysis of Media Writing Style Bias through Text-Embedding Networks
Iain J. Cruickshank, Jessica Zhu, Nathaniel D. Bastian
With the rise of phenomena like `fake news' and the growth of heavily-biased media ecosystems, there has been increased attention on understanding and evaluating media bias. Of par…
Deep PackGen: A Deep Reinforcement Learning Framework for Adversarial Network Packet Generation
Soumyadeep Hore, Jalal Ghadermazi, Diwas Paudel +3
Recent advancements in artificial intelligence (AI) and machine learning (ML) algorithms, coupled with the availability of faster computing infrastructure, have enhanced the securi…
Measuring Classification Decision Certainty and Doubt
Alexander M. Berenbeim, Iain J. Cruickshank, Susmit Jha +2
Quantitative characterizations and estimations of uncertainty are of fundamental importance in optimization and decision-making processes. Herein, we propose intuitive scores, whic…
Off-Policy Evaluation for Action-Dependent Non-Stationary Environments
Yash Chandak, Shiv Shankar, Nathaniel D. Bastian +3
Methods for sequential decision-making are often built upon a foundational assumption that the underlying decision process is stationary. This limits the application of such method…
Novelty Detection in Network Traffic: Using Survival Analysis for Feature Identification
Taylor Bradley, Elie Alhajjar, Nathaniel Bastian
Intrusion Detection Systems are an important component of many organizations' cyber defense and resiliency strategies. However, one downside of these systems is their reliance on k…
Deep VULMAN: A Deep Reinforcement Learning-Enabled Cyber Vulnerability Management Framework
Soumyadeep Hore, Ankit Shah, Nathaniel D. Bastian
Cyber vulnerability management is a critical function of a cybersecurity operations center (CSOC) that helps protect organizations against cyber-attacks on their computer and netwo…