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02/19/2023
Uncertainty-Aware Reward-based Deep Reinforcement Learning for Intent Analysis of Social Media Information
Due to various and serious adverse impacts of spreading fake news, it is...
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12/13/2022
PPO-UE: Proximal Policy Optimization via Uncertainty-Aware Exploration
Proximal Policy Optimization (PPO) is a highly popular policy-based deep...
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06/12/2022
A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning
An in-depth understanding of uncertainty is the first step to making eff...
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03/28/2021
Data-Driven Threat Hunting Using Sysmon
Threat actors can be persistent, motivated and agile, and leverage a div...
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03/03/2021
Threat Actor Type Inference and Characterization within Cyber Threat Intelligence
As the cyber threat landscape is constantly becoming increasingly comple...
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08/17/2020
Using Subjective Logic to Estimate Uncertainty in Multi-Armed Bandit Problems
The multi-armed bandit problem is a classical decision-making problem wh...
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09/25/2018
A Framework for Data-Driven Physical Security and Insider Threat Detection
This paper presents PS0, an ontological framework and a methodology for ...
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08/17/2018
An Empirical Evaluation of the Approximation of Subjective Logic Operators Using Monte Carlo Simulations
In this paper we analyze the use of subjective logic as a framework for ...
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03/31/2018
The Impact of Quantum Computing on Present Cryptography
The aim of this paper is to elucidate the implications of quantum comput...
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04/02/2016
