Industrial Windows malware detectors are commonly described as Compound AI Systems composed of multiple heterogeneous components, including rule-based mechanisms as well as machine-learning-based static and dynamic analyses. However, due to industrial secrecy and limited public disclosure, the internal architectures of...
Andrea Ponte, Luca Demetrio, Luca Oneto et al.· 0 citations
A unified evaluation framework based on a comprehensive pool of minimum-norm attacks and robustness--perturbation curves across $\ell_0, $\ell_1, $\ell_2$ and $\ell_\infty$ norms", and proposes the Defense Optimality Index to rank defenses by their gap to the defense frontier.
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
This paper introduces dormant steering logic into the model architecture through a trigger-gated additive modification of an intermediate representation, without poisoning training data, controlling downstream fine-tuning, or modifying prompts at deployment time.
M. Briglia, Igor Maljkovic, A. E. Cinà et al.· 0 citations
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