Author

Andrea Ponte

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Preprint Sep 2026

Windows Malware Detector as a Compound AI System: Trade-Offs in Accuracy, Efficiency, and Adversarial Robustness

A novel methodology is proposed that explicitly balances the trade-off among detection performance, computational requirements, and robustness, and introduces system-level threat models that capture how attackers exploit different degrees of knowledge to evade the entire Compound AI System rather than isolated detector...

Andrea Ponte, Luca Demetrio, Luca Oneto et al. · 0 citations

Jul 2026

EXE-Bench: Ranking the Tradeoffs of AI-based Windows Malware Detectors for Real-World Usability

ExE-Bench assesses performance, temporal and adversarial robustness, and computational overhead, aggregating them into a single score for direct and fair model comparison, and highlights how evaluations conducted only after deployment are suboptimal and unable to provide a complete picture of their performance.

Andrea Ponte, Daniel Gibert, M. Kozák et al. · arXiv.org · 0 citations