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Author

Matteo Bitussi

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Preprint Aug 2026

X-WAD: eXplainable Web Anomaly Detection

This paper investigates the effectiveness of Transformer-based Language Models in the detection of anomalies in HTTP requests, focussing on providing detailed explanations for the detected anomalies, and employs token-level logit-based surprisal mapping to provide both an anomaly score and a direct, detailed explanatio...

Matteo Bitussi, R. Doriguzzi-Corin · 0 citations

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