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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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05/25/2022
End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models
We propose the end-to-end multimodal fact-checking and explanation gener...
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11/19/2021
Quantifying Cybersecurity Effectiveness of Software Diversity
The deployment of monoculture software stacks can cause a devastating da...
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01/21/2021
Game-Theoretic and Machine Learning-based Approaches for Defensive Deception: A Survey
Defensive deception is a promising approach for cyberdefense. Although d...
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01/08/2021
Foureye: Defensive Deception based on Hypergame Theory Against Advanced Persistent Threats
Defensive deception techniques have emerged as a promising proactive def...
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12/26/2020
Multidimensional Uncertainty-Aware Evidential Neural Networks
Traditional deep neural networks (NNs) have significantly contributed to...
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10/24/2020
Uncertainty Aware Semi-Supervised Learning on Graph Data
Thanks to graph neural networks (GNNs), semi-supervised node classificat...
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07/16/2020
Diversity-By-Design for Dependable and Secure Cyber-Physical Systems: A Survey
Diversity-based security approaches have been studied for several decade...
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07/16/2020
Vulnerability-Aware Resilient Networks: Software Diversity-based Network Adaptation
By leveraging the principle of software polyculture to ensure security i...
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05/08/2020
Proactive Defense for Internet-of-Things: Integrating Moving Target Defense with Cyberdeception
Resource constrained Internet-of-Things (IoT) devices are highly likely ...
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04/16/2020
Online Social Deception and Its Countermeasures for Trustworthy Cyberspace: A Survey
We are living in an era when online communication over social network se...
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10/15/2019
Quantifying Classification Uncertainty using Regularized Evidential Neural Networks
Traditional deep neural nets (NNs) have shown the state-of-the-art perfo...
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10/12/2019
Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data
Subjective Logic (SL) is one of well-known belief models that can explic...
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09/12/2019
Toward Proactive, Adaptive Defense: A Survey on Moving Target Defense
Reactive defense mechanisms, such as intrusion detection systems, have m...
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08/01/2019
Modeling and Analysis of Integrated Proactive Defense Mechanisms for Internet-of-Things
As a solution to protect and defend a system against inside attacks, man...
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08/01/2019
Optimal Deployments of Defense Mechanisms for the Internet of Things
Internet of Things (IoT) devices can be exploited by the attackers as en...
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06/12/2019
Metrics Towards Measuring Cyber Agility
In cyberspace, evolutionary strategies are commonly used by both attacke...
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04/02/2019
Rating Reliability and Bias in News Articles: Does AI Assistance Help Everyone?
With the spread of false and misleading information in current news, man...
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09/24/2018
Statistical Estimation of Malware Detection Metrics in the Absence of Ground Truth
The accurate measurement of security metrics is a critical research prob...
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07/18/2018
FRVM: Flexible Random Virtual IP Multiplexing in Software-Defined Networks
Network address shuffling is one of moving target defense (MTD) techniqu...
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07/02/2018
