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Conference Paper
D. Pedreschi, Giannotti, F., Guidotti, R., Monreale, A., Ruggieri, S., and Turini, F., Meaningful explanations of Black Box AI decision systems, in Proceedings of the AAAI Conference on Artificial Intelligence, 2019.
G. Andrienko, Andrienko, N., Giannotti, F., Monreale, A., and Pedreschi, D., Movement data anonymity through generalization, in Proceedings of the 2nd SIGSPATIAL ACM GIS 2009 International Workshop on Security and Privacy in GIS and LBS, 2009.
M. Magnani, Monreale, A., Rossetti, G., and Giannotti, F., On multidimensional network measures, in SEDB 2013, 2013.
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, Monreale, A., Giannotti, F., and Pedreschi, D., Privacy Preserving Multidimensional Profiling, in International Conference on Smart Objects and Technologies for Social Good, 2017.
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.
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 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.
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, 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.
M. Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., Towards Discovery of Eras in Social Networks, in M3SN 2010 Workshop, in conjunction with ICDE2010, 2010.

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