On using pretext tasks to learn representations from network logs. - Matteo Boffa; Luca Vassio; Marco Mellia; Idilio Drago; Giulia Milan; Zied Ben-Houidi; Dario Rossi 001 (NativeNI@CoNEXT, 2022)

Towards NLP-based Processing of Honeypot Logs. - Matteo Boffa; Giulia Milan; Luca Vassio; Idilio Drago; Marco Mellia; Zied Ben-Houidi (EuroS&P Workshops, 2022)

Neural combinatorial optimization beyond the TSP: Existing architectures under-represent graph structure. - Matteo Boffa; Zied Ben-Houidi; Jonatan Krolikowski; Dario Rossi 001 (CoRR, 2022)

LogPrécis: Unleashing Language Models for Automated Shell Log Analysis. - Matteo Boffa; Rodolfo Vieira Valentim; Luca Vassio; Danilo Giordano; Idilio Drago; Marco Mellia; Zied Ben-Houidi (CoRR, 2023)

The polynomial robust knapsack problem. - Alessandro Baldo 001; Matteo Boffa; Lorenzo Cascioli; Edoardo Fadda; Chiara Lanza; Arianna Ravera (Eur. J. Oper. Res., 2023)

LogPrécis: Unleashing language models for automated malicious log analysis. - Matteo Boffa; Idilio Drago; Marco Mellia; Luca Vassio; Danilo Giordano; Rodolfo V. Valentim; Zied Ben-Houidi (Comput. Secur., 2024)

A Systematic Comparison of Large Language Models Performance for Intrusion Detection. - Minh-Thanh Bui; Matteo Boffa; Rodolfo Vieira Valentim; José Manuel Navarro; Fuxing Chen; Xiaosheng Bao; Zied Ben-Houidi; Dario Rossi 001 (PACMNET, 2024)

The Sweet Danger of Sugar: Debunking Representation Learning for Encrypted Traffic Classification. - Yuqi Zhao; Giovanni Dettori; Matteo Boffa; Luca Vassio; Marco Mellia (CoRR, 2025)