[1] A Monreale, S Rinzivillo, F Pratesi, F Giannotti, D Pedreschi, Privacy-by-design in big data analytics and social mining, EPJ Data Science 3 (1), 1-26
[2] A Monreale, WH Wang, F Pratesi, S Rinzivillo, D Pedreschi, G Andrienko, N Andrienko, Privacy-preserving distributed movement data aggregation, AGILE 2013 [3] F Pratesi, A Monreale, WH Wang, S Rinzivillo, D Pedreschi, G Andrienko, N Andrienko, Privacy-Aware Distributed Mobility Data Analytics, SEBD 2013 [4] F Pratesi, A Monreale, WH Wang, S Rinzivillo, D Pedreschi, G Andrienko, N Andrienko, Differential privacy in distributed mobilytics. submitted to EPJ Data Science.
[5] M Berlingerio, V Bicer, A Botea, S Braghin, N Lopes, R Guidotti, F Pratesi, Mobility Mining for Journey Planning in Rome, ECML PKDD 2015
[6] A Botea, S Braghin, N Lopes, R Guidotti, F Pratesi, Managing travels with PETRA: The Rome use case, IEEE ICDEW 2015
[7] F. Pratesi, A. Monreale, R. Trasarti, F. Giannotti, D. Pedreschi, T. Yanagihara, PRISQUIT: a system for assessing privacy risk versus quality in data sharing.
submitted to Transaction on Data Privacy (TDP)
[8] G Amato, L Candela, D Castelli, A Esuli, F Falchi, C Gennaro, F Giannotti, A Monreale, M Nanni, P Pagano, L Pappalardo, D Pedreschi, F Pratesi, F Rabitti, S Rinzivillo, G Rossetti, S Ruggieri, F Sebastiani, M Tesconi, How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science, A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years, Springer International Publishing, 2018, pag 287-306.
[9] P Cintia, L Gabrielli, F Giannotti, A Monreale, F Pratesi, Privacy-Aware Sociometer: a Mitigation Strategy for Quantification of City Users, ready to be submitted to Data & Knowledge Engineering (DKE)
[10] R Pellungrini, F Pratesi, L Pappalardo, Assessing Privacy Risk in Retail Data, 1st International Workshop on Personal Analytics and Privacy (PAP) @ECML PKDD 2017
[11] F Pratesi, A Monreale, F Giannotti, D Pedreschi, Privacy Preserving Multidimensional Profiling, Goodtechs 2017 (to appear)
[12] R Pellungrini, L Pappalardo, F Pratesi, A Monreale, Fast estimation of privacy risk in human mobility data, 3rd International Workshop on TEchnical and LEgal aspects of data pRIvacy and SEcurity 2017
[13] R Pellungrini, L Pappalardo, F Pratesi, A Monreale, A data mining approach to assess privacy risk in human mobility data. ACM Transactions on Intelligent Systems and Technology (TIST 9:3, special issue on urban intelligence, to appear)
