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D. Montesi, Renso, C., and Turini, F., Using Temporary Integrity Constraints to Optimize Databases, in FAPR, 1996, pp. 430-435.
A. Monreale, Naretto, F., and Rizzo, S., Agnostic Label-Only Membership Inference Attack, in 17th International Conference on Network and System Security, 2023.
A. Monreale, Trasarti, R., Pedreschi, D., Renso, C., and Bogorny, V., C-safety: a framework for the anonymization of semantic trajectories, Transactions on Data Privacy, vol. 4, pp. 73-101, 2011.
A. Monreale, Pinelli, F., Trasarti, R., and Giannotti, F., Location Prediction through Trajectory Pattern Mining (Extended Abstract), in SEBD, 2010, pp. 134-141.
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.
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.
A. Monreale, Pedreschi, D., Pensa, R. G., and Pinelli, F., Anonymity preserving sequential pattern mining, Artif. Intell. Law, vol. 22, pp. 141–173, 2014.
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.
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. Monreale, Andrienko, G., Andrienko, N., Giannotti, F., Pedreschi, D., Rinzivillo, S., and Wrobel, S., Movement Data Anonymity through Generalization, Transactions on Data Privacy, vol. 3, pp. 91–121, 2010.
A. Monreale, Pinelli, F., Trasarti, R., and Giannotti, F., WhereNext: a Location Predictor on Trajectory Pattern Mining, 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2009.
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.
L. Milli and Rossetti, G., Community-Aware Content Diffusion: Embeddednes and Permeability, in International Conference on Complex Networks and Their Applications, 2019.
L. Milli, Rossetti, G., Pedreschi, D., and Giannotti, F., Information diffusion in complex networks: The active/passive conundrum, in International Workshop on Complex Networks and their Applications, 2017.
L. Milli, Rossetti, G., Pedreschi, D., and Giannotti, F., Active and passive diffusion processes in complex networks, Applied network science, vol. 3, p. 42, 2018.
L. Milli, Monreale, A., Rossetti, G., Giannotti, F., Pedreschi, D., and Sebastiani, F., Quantification Trees, in 2013 IEEE 13th International Conference on Data Mining, Dallas, TX, USA, December 7-10, 2013, 2013, pp. 528–536.
L. Milli, Rossetti, G., Pedreschi, D., and Giannotti, F., Diffusive Phenomena in Dynamic Networks: a data-driven study, in International Conference on Complex Networks CompleNet, Boston March 5-8 2018, 2018.
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.
S. Mascetti, Ricci, A., and Ruggieri, S., Introduction to special issue on computational methods for enforcing privacy and fairness in the knowledge society, Artificial Intelligence and Law, vol. 22, pp. 109–111, 2014.
S. Mascetti, Monreale, A., Ricci, A., and Gerino, A., Anonymity: a Comparison between the Legal and Computer Science Perspectives., in The 5rd International Conference on Computers, Privacy, and Data Protection: “European Data Protection: Coming of Age”, 2012.
P. Mascellani and Pedreschi, D., Proving termination of Prolog programs, in GULP-PRODE (1), 1994, pp. 46-61.
P. Mascellani and Pedreschi, D., The Declarative Side of Magic, in Computational Logic: Logic Programming and Beyond, 2002, pp. 83-108.
I. Martinucci, Natilli, M., Lorenzoni, V., Pappalardo, L., Monreale, A., Turchetti, G., Pedreschi, D., Marchi, S., Barale, R., and de Bortoli, N., Gastroesophageal reflux symptoms among Italian university students: epidemiology and dietary correlates using automatically recorded transactions, BMC gastroenterology, vol. 18, p. 116, 2018.
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.
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.

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