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2024
L. Corbucci, Monreale, A., and Pellungrini, R., Enhancing Privacy and Utility in Federated Learning: A Hybrid P2P and Server-Based Approach with Differential Privacy Protection, in Proceedings of the 21st International Conference on Security and Cryptography - SECRYPT, 2024.
B. Muscato, Mala, C. Sree, Manerba, M. Marchiori, Gezici, G., and Giannotti, F., An Overview of Recent Approaches to Enable Diversity in Large Language Models through Aligning with Human Perspectives, in Proceedings of the 3rd Workshop on Perspectivist Approaches to NLP (NLPerspectives) @ LREC-COLING 2024, Torino, Italia, 2024.
B. Muscato, Mala, C. Sree, Manerba, M. Marchiori, Gezici, G., and Giannotti, F., An Overview of Recent Approaches to Enable Diversity in Large Language Models through Aligning with Human Perspectives, in Proceedings of the 3rd Workshop on Perspectivist Approaches to NLP (NLPerspectives) @ LREC-COLING 2024, Torino, Italia, 2024.
B. Muscato, Mala, C. Sree, Manerba, M. Marchiori, Gezici, G., and Giannotti, F., An Overview of Recent Approaches to Enable Diversity in Large Language Models through Aligning with Human Perspectives, in Proceedings of the 3rd Workshop on Perspectivist Approaches to NLP (NLPerspectives) @ LREC-COLING 2024, Torino, Italia, 2024.
L. Corbucci, Heikkila, M. A., Noguero, D. Solans, Monreale, A., and Kourtellis, N., PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning, 2024.
2022
A. Failla, Mazzoni, F., and Citraro, S., Attribute-aware Community Events in Feature-rich Dynamic Networks, in Complex Networks and Their Applications XI: Proceedings of The Eleventh International Conference on Complex Networks and Their Applications: COMPLEX NETWORKS 2022—Book of Abstracts, 2022.
V. Pansanella, Rossetti, G., and Milli, L., From Mean-Field to Complex Topologies: Network Effects on the Algorithmic Bias Model, in Complex Networks & Their Applications X, 2022.
G. Mauro, Luca, M., Longa, A., Lepri, B., and Pappalardo, L., Generating mobility networks with generative adversarial networks, EPJ data science, vol. 11, p. 58, 2022.
G. Cornacchia, Böhm, M., Mauro, G., Nanni, M., Pedreschi, D., and Pappalardo, L., How Routing Strategies Impact Urban Emissions, in Proceedings of the 30th International Conference on Advances in Geographic Information Systems, New York, NY, USA, 2022.
M. Natilli, Rossi, A., Trecroci, A., Cavaggioni, L., Merati, G., and Formenti, D., The long-tail effect of the COVID-19 lockdown on Italians’ quality of life, sleep and physical activity, Scientific Data, vol. 9, pp. 1–10, 2022.
M. Fontana, Naretto, F., Monreale, A., and Giannotti, F., Monitoring Fairness in HOLDA, in HHAI 2022: Augmenting Human Intellect - Proceedings of the First International Conference on Hybrid Human-Artificial Intelligence, Amsterdam, The Netherlands, 13-17 June 2022, 2022.
L. Corbucci, Monreale, A., Panigutti, C., Natilli, M., Smiraglio, S., and Pedreschi, D., Semantic Enrichment of XAI Explanations for Healthcare, 24th International Conference on Artificial Intelligence. 2022.
R. Guidotti, Monreale, A., Ruggieri, S., Naretto, F., Turini, F., Pedreschi, D., and Giannotti, F., Stable and actionable explanations of black-box models through factual and counterfactual rules, Data Mining and Knowledge Discovery, 2022.
2021
S. Marina Joseph, Citraro, S., Morini, V., Rossetti, G., and Stella, M., Cognitive network science quantifies feelings expressed in suicide letters and Reddit mental health communities, arXiv preprint arXiv:2110.15269, 2021.
G. Rossetti, Citraro, S., and Milli, L., Conformity: a Path-Aware Homophily measure for Node-Attributed Networks, IEEE Intelligent SystemsIEEE Intelligent Systems, pp. 1 - 1, 2021.
M. Nanni, Andrienko, G., Barabasi, A. - L., Boldrini, C., Bonchi, F., Cattuto, C., Chiaromonte, F., Comandé, G., Conti, M., Coté, M., Dignum, F., Dignum, V., Domingo-Ferrer, J., Ferragina, P., Giannotti, F., Guidotti, R., Helbing, D., Kaski, K., Kertész, J., Lehmann, S., Lepri, B., Lukowicz, P., Matwin, S., Jiménez, D. Megías, Monreale, A., Morik, K., Oliver, N., Passarella, A., Passerini, A., Pedreschi, D., Pentland, A., Pianesi, F., Pratesi, F., Rinzivillo, S., Ruggieri, S., Siebes, A., Torra, V., Trasarti, R., van den Hoven, J., and Vespignani, A., Give more data, awareness and control to individual citizens, and they will help COVID-19 containment, 2021.
M. Nanni, Andrienko, G., Barabasi, A. - L., Boldrini, C., Bonchi, F., Cattuto, C., Chiaromonte, F., Comandé, G., Conti, M., Coté, M., Dignum, F., Dignum, V., Domingo-Ferrer, J., Ferragina, P., Giannotti, F., Guidotti, R., Helbing, D., Kaski, K., Kertész, J., Lehmann, S., Lepri, B., Lukowicz, P., Matwin, S., Jiménez, D. Megías, Monreale, A., Morik, K., Oliver, N., Passarella, A., Passerini, A., Pedreschi, D., Pentland, A., Pianesi, F., Pratesi, F., Rinzivillo, S., Ruggieri, S., Siebes, A., Torra, V., Trasarti, R., van den Hoven, J., and Vespignani, A., Give more data, awareness and control to individual citizens, and they will help COVID-19 containment, 2021.
M. Nanni, Andrienko, G., Barabasi, A. - L., Boldrini, C., Bonchi, F., Cattuto, C., Chiaromonte, F., Comandé, G., Conti, M., Coté, M., Dignum, F., Dignum, V., Domingo-Ferrer, J., Ferragina, P., Giannotti, F., Guidotti, R., Helbing, D., Kaski, K., Kertész, J., Lehmann, S., Lepri, B., Lukowicz, P., Matwin, S., Jiménez, D. Megías, Monreale, A., Morik, K., Oliver, N., Passarella, A., Passerini, A., Pedreschi, D., Pentland, A., Pianesi, F., Pratesi, F., Rinzivillo, S., Ruggieri, S., Siebes, A., Torra, V., Trasarti, R., van den Hoven, J., and Vespignani, A., Give more data, awareness and control to individual citizens, and they will help COVID-19 containment, 2021.
M. Setzu, Guidotti, R., Monreale, A., Turini, F., Pedreschi, D., and Giannotti, F., GLocalX - From Local to Global Explanations of Black Box AI Models, vol. 294, p. 103457, 2021.
M. Fontana, Naretto, F., and Monreale, A., A new approach for cross-silo federated learning and its privacy risks, in 2021 18th International Conference on Privacy, Security and Trust (PST), 2021.
M. Fontana, Naretto, F., and Monreale, A., A new approach for cross-silo federated learning and its privacy risks, in 18th International Conference on Privacy, Security and Trust, PST 2021, Auckland, New Zealand, December 13-15, 2021, 2021.

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