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20182026
most citedThe Cross-evaluation of Machine Learning-based Network Intrusion Detection Systems

129 citations · 229 across the 21 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.CR2022★ 1 cited

Going In Style: Audio Backdoors Through Stylistic Transformations

Stefanos Koffas, Luca Pajola, Stjepan Picek +1

This work explores stylistic triggers for backdoor attacks in the audio domain: dynamic transformations of malicious samples through guitar effects. We first formalize stylistic tr…

cs.HC2022★ 3 cited

You Can't Hide Behind Your Headset: User Profiling in Augmented and Virtual Reality

Pier Paolo Tricomi, Federica Nenna, Luca Pajola +2

Virtual and Augmented Reality (VR, AR) are increasingly gaining traction thanks to their technical advancement and the need for remote connections, recently accentuated by the pand…

cs.CR2022★ 3 cited

SoK: Explainable Machine Learning for Computer Security Applications

Azqa Nadeem, Daniël Vos, Clinton Cao +4

Explainable Artificial Intelligence (XAI) aims to improve the transparency of machine learning (ML) pipelines. We systematize the increasingly growing (but fragmented) microcosm of…

cs.CR2022★ 129 cited

The Cross-evaluation of Machine Learning-based Network Intrusion Detection Systems

Giovanni Apruzzese, Luca Pajola, Mauro Conti

Enhancing Network Intrusion Detection Systems (NIDS) with supervised Machine Learning (ML) is tough. ML-NIDS must be trained and evaluated, operations requiring data where benign a…

cs.CR2022★ 4 cited

Captcha Attack: Turning Captchas Against Humanity

Mauro Conti, Luca Pajola, Pier Paolo Tricomi

Nowadays, people generate and share massive content on online platforms (e.g., social networks, blogs). In 2021, the 1.9 billion daily active Facebook users posted around 150 thous…