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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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06/06/2023
From Data to Action: Exploring AI and IoT-driven Solutions for Smarter Cities
The emergence of smart cities demands harnessing advanced technologies l...
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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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09/01/2022
A Low-Cost Multi-Agent System for Physical Security in Smart Buildings
Modern organizations face numerous physical security threats, from fire ...
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07/04/2022
Deep Learning for Short-term Instant Energy Consumption Forecasting in the Manufacturing Sector
Electricity is a volatile power source that requires great planning and ...
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06/01/2022
A Multi-Policy Framework for Deep Learning-Based Fake News Detection
Connectivity plays an ever-increasing role in modern society, with peopl...
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03/08/2022
Adaptative Perturbation Patterns: Realistic Adversarial Learning for Robust Intrusion Detection
Adversarial attacks pose a major threat to machine learning and to the s...
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12/29/2021
Anomaly Detection in Cyber-Physical Systems: Reconstruction of a Prediction Error Feature Space
Cyber-physical systems are infrastructures that use digital information ...
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12/02/2021
A tool to support the investigation and visualization of cyber and/or physical incidents
Investigating efficiently the data collected from a system's activity ca...
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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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11/19/2021
A Hybrid Approach for an Interpretable and Explainable Intrusion Detection System
Cybersecurity has been a concern for quite a while now. In the latest ye...
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09/25/2021
A Multi-Agent System for Autonomous Mobile Robot Coordination
The automation of internal logistics and inventory-related tasks is one ...
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07/02/2021
Machine Learning for Network-based Intrusion Detection Systems: an Analysis of the CIDDS-001 Dataset
With the increasing amount of reliance on digital data and computer netw...
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06/30/2021