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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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06/06/2023
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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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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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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11/25/2021
