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Author

Andrea Agiollo

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Jul 2026

Beyond the Syntax: Do Security Experts Trust LLMs for NIDS Rule Engineering?

A human-centered investigation into LLM-based NIDS rule engineering is presented, formalizing a grounded generation framework and evaluating it through a user study with 10 domain experts, revealing a syntax-semantics paradox.

Lorenzo di Filippo, Enkeleda Bardhi, Andrea Agiollo et al. · 1 citation
#artificial intelligence Preprint Aug 2026

Does Reasoning Mitigate Backdoor Attacks? A Neuro-Symbolic Perspective

This paper claims that an in-depth investigation of the adversarial robustness of NeSy models is necessary and provides the first systematic evaluation of backdoor attacks against NeSy, and shows that while NeSy models are indeed more robust than their neural counterpart on average, their robustness vastly depend on th...

Marco Antonio Corallo, Andrea Agiollo, Mauro Conti et al. · 0 citations

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