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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.
D. Pedreschi, Bonchi, F., Turini, F., Verykios, V. S., Atzori, M., Malin, B., Moelans, B., and Saygin, Y., Privacy Protection: Regulations and Technologies, Opportunities and Threats, in Mobility, Data Mining and Privacy, 2008, pp. 101-119.
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.
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.
M. Atzori, Bonchi, F., Giannotti, F., Pedreschi, D., and Abul, O., Privacy-Aware Knowledge Discovery from Location Data, in MDM, 2007, pp. 283-287.
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. D. C. Albuquerque, Casanova, M. A., de Carvalho, M. T. M., de Macêdo, J. A. F., and Renso, C., A Proactive Ap- plication to Monitor Truck Fleets, in Mobile Data Management Conference, 2013, 2013.
P. Mukala, Cerone, A., and Turini, F., Process mining event logs from FLOSS data: state of the art and perspectives, in International Conference on Software Engineering and Formal Methods, 2014.
M. Coscia, Pennacchioli, D., and Giannotti, F., Product assortment and customer mobility, EPJ Data Science, vol. 4, pp. 1–18, 2015.
F. Giannotti, Greco, S., Saccà, D., and Zaniolo, C., Programming with Non-Determinism in Deductive Databases, Ann. Math. Artif. Intell., vol. 19, pp. 97-125, 1997.
B. Bertolino, Mancarella, P., Meo, L., Nini, L., Pedreschi, D., and Turini, F., A Progress Report on the LML Project, in FGCS, 1988, pp. 675-684.
D. Pedreschi, A Proof Method for Runtime Properties of Prolog Programs, in ICLP, 1994, pp. 584-598.
K. R. Apt and Pedreschi, D., Proving Termination of General Prolog Programs, in TACS, 1991, pp. 265-289.
P. Mascellani and Pedreschi, D., Proving termination of Prolog programs, in GULP-PRODE (1), 1994, pp. 46-61.
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.
L. Pappalardo, Cintia, P., Rossi, A., Massucco, E., Ferragina, P., Pedreschi, D., and Giannotti, F., A public data set of spatio-temporal match events in soccer competitions, Scientific data, vol. 6, pp. 1–15, 2019.
A. Sirbu, Giannotti, F., Pedreschi, D., and Kertész, J., Public opinion and Algorithmic bias, ERCIM News, 2019.
S. Rinzivillo, Gabrielli, L., Nanni, M., Pappalardo, L., Pedreschi, D., and Giannotti, F., The purpose of motion: Learning activities from Individual Mobility Networks, in International Conference on Data Science and Advanced Analytics, {DSAA} 2014, Shanghai, China, October 30 - November 1, 2014, 2014.

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