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08/18/2023
Attacking logo-based phishing website detectors with adversarial perturbations
Recent times have witnessed the rise of anti-phishing schemes powered by...
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04/30/2023
SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection
Machine Learning (ML) has become a valuable asset to solve many real-wor...
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12/29/2022
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice
Recent years have seen a proliferation of research on adversarial machin...
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12/11/2022
Mitigating Adversarial Gray-Box Attacks Against Phishing Detectors
Although machine learning based algorithms have been extensively used fo...
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10/24/2022
SpacePhish: The Evasion-space of Adversarial Attacks against Phishing Website Detectors using Machine Learning
Existing literature on adversarial Machine Learning (ML) focuses either ...
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10/24/2022
Cybersecurity in the Smart Grid: Practitioners' Perspective
The Smart Grid (SG) is a cornerstone of modern society, providing the en...
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10/17/2022
Attribute Inference Attacks in Online Multiplayer Video Games: a Case Study on Dota2
Did you know that over 70 million of Dota2 players have their in-game da...
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07/04/2022
Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples
Fifth Generation (5G) networks must support billions of heterogeneous de...
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06/20/2022
The Role of Machine Learning in Cybersecurity
Machine Learning (ML) represents a pivotal technology for current and fu...
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05/18/2022
SoK: The Impact of Unlabelled Data in Cyberthreat Detection
Machine learning (ML) has become an important paradigm for cyberthreat d...
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03/18/2022
Concept-based Adversarial Attacks: Tricking Humans and Classifiers Alike
We propose to generate adversarial samples by modifying activations of u...
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03/09/2022
The Cross-evaluation of Machine Learning-based Network Intrusion Detection Systems
Enhancing Network Intrusion Detection Systems (NIDS) with supervised Mac...
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06/17/2021
Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems
The incremental diffusion of machine learning algorithms in supporting c...
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06/15/2021
On the Evaluation of Sequential Machine Learning for Network Intrusion Detection
Recent advances in deep learning renewed the research interests in machi...
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12/09/2019