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08/13/2023
SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection
Machine Learning (ML) can be incredibly valuable to automate anomaly det...
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06/27/2023
Herb-Drug Interactions: A Holistic Decision Support System in Healthcare
Complementary and alternative medicine are commonly used concomitantly w...
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06/06/2023
TestLab: An Intelligent Automated Software Testing Framework
The prevalence of software systems has become an integral part of modern...
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05/03/2023
Data Privacy with Homomorphic Encryption in Neural Networks Training and Inference
The use of Neural Networks (NNs) for sensitive data processing is becomi...
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03/23/2023
Adversarial Robustness and Feature Impact Analysis for Driver Drowsiness Detection
Drowsy driving is a major cause of road accidents, but drivers are dismi...
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03/14/2023
Constrained Adversarial Learning and its applicability to Automated Software Testing: a systematic review
Every novel technology adds hidden vulnerabilities ready to be exploited...
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01/30/2023
Towards Adversarial Realism and Robust Learning for IoT Intrusion Detection and Classification
The Internet of Things (IoT) faces tremendous security challenges. Machi...
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11/25/2021
A Comparative Analysis of Machine Learning Techniques for IoT Intrusion Detection
The digital transformation faces tremendous security challenges. In part...
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07/02/2021