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M
M. Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., “Multidimensional networks: foundations of structural analysis”, World Wide Web, vol. Volume 15 / 2012, 2012.
R. Trasarti, Guidotti, R., Monreale, A., and Giannotti, F., “MyWay: Location prediction via mobility profiling”, Information Systems, vol. 64, pp. 350–367, 2017.
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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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D. Pedreschi, Giannotti, F., Guidotti, R., Monreale, A., Pappalardo, L., Ruggieri, S., and Turini, F., “Open the Black Box Data-Driven Explanation of Black Box Decision Systems”, 2018.
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V. Grossi, Guns, T., Monreale, A., Nanni, M., and Nijssen, S., “Partition-Based Clustering Using Constraint Optimization”, in Data Mining and Constraint Programming - Foundations of a Cross-Disciplinary Approach, Springer International Publishing, 2016, pp. 282–299.
R. G. Pensa, Monreale, A., Pinelli, F., and Pedreschi, D., “Pattern-Preserving k-Anonymization of Sequences and its Application to Mobility Data Mining”, in PiLBA, 2008.
F. Naretto, Pellungrini, R., Monreale, A., Nardini, F. Maria, and Musolesi, M., “Predicting and Explaining Privacy Risk Exposure in Mobility Data”, in Discovery Science, Cham, 2020.
F. Naretto, Pellungrini, R., Nardini, F. Maria, and Giannotti, F., “Prediction and Explanation of Privacy Risk on Mobility Data with Neural Networks”, in ECML PKDD 2020 Workshops, Cham, 2020.
A. Monreale, Trasarti, R., Renso, C., Pedreschi, D., and Bogorny, V., “Preserving privacy in semantic-rich trajectories of human mobility”, in SPRINGL, 2010, pp. 47-54.
F. Pratesi, Gabrielli, L., Cintia, P., Monreale, A., and Giannotti, F., “PRIMULE: Privacy risk mitigation for user profiles”, vol. 125, p. 101786, 2020.
F. Pratesi, Monreale, A., Giannotti, F., and Pedreschi, D., “Privacy Preserving Multidimensional Profiling”, in International Conference on Smart Objects and Technologies for Social Good, 2017.
G. Mariani, Monreale, A., and Naretto, F., “Privacy Risk Assessment of Individual Psychometric Profiles”, in Discovery Science - 24th International Conference, DS 2021, Halifax, NS, Canada, October 11-13, 2021, Proceedings, 2021.
R. Pellungrini, Monreale, A., and Guidotti, R., “Privacy Risk for Individual Basket Patterns”, in ECML PKDD 2018 Workshops, Cham, 2019.
R. Pellungrini, Monreale, A., and Guidotti, R., “Privacy Risk for Individual Basket Patterns”, in ECML PKDD 2018 Workshops, Cham, 2019.
A. Basu, Monreale, A., Corena, J. C., Giannotti, F., Pedreschi, D., Kiyomoto, S., Miyake, Y., Yanagihara, T., and Trasarti, R., “A Privacy Risk Model for Trajectory Data”, in Trust Management {VIII} - 8th {IFIP} {WG} 11.11 International Conference, {IFIPTM} 2014, Singapore, July 7-10, 2014. Proceedings, 2014, pp. 125–140.
F. Pratesi, Monreale, A., Wang, H. Wendy, Rinzivillo, S., Pedreschi, D., Andrienko, G., and Andrienko, N., “Privacy-Aware Distributed Mobility Data Analytics”, in SEBD, Roccella Jonica, 2013.
A. Monreale, Rinzivillo, S., Pratesi, F., Giannotti, F., and Pedreschi, D., “Privacy-by-Design in Big Data Analytics and Social Mining”, EPJ Data Science, vol. 10, 2014.
F. Giannotti, Lakshmanan, L. V. S., Monreale, A., Pedreschi, D., and Wang, H. Wendy, “Privacy-preserving data mining from outsourced databases.”, in the 3rd International Conference on Computers, Privacy, and Data Protection: An element of choice , 2011.
A. Monreale, Wang, H. Wendy, Pratesi, F., Rinzivillo, S., Pedreschi, D., Andrienko, G., and Andrienko, N., “Privacy-Preserving Distributed Movement Data Aggregation”, in Geographic Information Science at the Heart of Europe, D. Vandenbroucke, Bucher, B., and Crompvoets, J., Eds. Springer International Publishing, 2013, pp. 225-245.
F. Giannotti, Lakshmanan, L. V. S., Monreale, A., Pedreschi, D., and Wang, H. Wendy, “Privacy-Preserving Mining of Association Rules From Outsourced Transaction Databases”, IEEE Systems Journal, 2013.
A. Monreale and Wang, H. Wendy, “Privacy-Preserving Outsourcing of Data Mining”, in 40th IEEE Annual Computer Software and Applications Conference, {COMPSAC} Workshops 2016, Atlanta, GA, USA, June 10-14, 2016, Atlanta, GA, USA, 2016.
A. Marrella, Monreale, A., Kloepper, B., and Krueger, M. W., “Privacy-Preserving Outsourcing of Pattern Mining of Event-Log Data-A Use-Case from Process Industry”, in Cloud Computing Technology and Science (CloudCom), 2016 IEEE International Conference on, 2016.
F. Pratesi, Monreale, A., Trasarti, R., Giannotti, F., Pedreschi, D., and Yanagihara, T., “PRUDEnce: a system for assessing privacy risk vs utility in data sharing ecosystems”, Transactions on Data Privacy, vol. 11, 2018.
M. Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., “The pursuit of hubbiness: Analysis of hubs in large multidimensional networks”, J. Comput. Science, vol. 2, pp. 223-237, 2011.
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L. Milli, Monreale, A., Rossetti, G., Pedreschi, D., Giannotti, F., and Sebastiani, F., “Quantification in Social Networks”, in International Conference on Data Science and Advanced Analytics (IEEE DSAA'2015), Paris, France, 2015.

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