L.  Corbucci, Monreale, A., and Pellungrini, R., ?Enhancing Privacy and Utility in Federated Learning: A Hybrid P2P and Server-Based Approach with Differential Privacy Protection?, in Proceedings of the 21st International Conference on Security and Cryptography - SECRYPT, 2024.

L.  Corbucci, Heikkila, M. A., Noguero, D. Solans, Monreale, A., and Kourtellis, N., ?PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning?, 2024.

A.  Monreale, Naretto, F., and Rizzo, S., ?Agnostic Label-Only Membership Inference Attack?, in 17th International Conference on Network and System Security, 2023.

F.  Naretto, Monreale, A., and Giannotti, F., ?Evaluating the Privacy Exposure of Interpretable Global and Local Explainers?, in Submitted at Journal of Artificial Intelligence and Law, 2023.

M.  Fontana, Naretto, F., Monreale, A., and Giannotti, F., ?Monitoring Fairness in HOLDA?, in HHAI 2022: Augmenting Human Intellect - Proceedings of the First International Conference on Hybrid Human-Artificial Intelligence, Amsterdam, The Netherlands, 13-17 June 2022, 2022.

L.  Corbucci, Monreale, A., Panigutti, C., Natilli, M., Smiraglio, S., and Pedreschi, D., ?Semantic Enrichment of XAI Explanations for Healthcare?, 24th International Conference on Artificial Intelligence. 2022.

M.  Nanni, Andrienko, G., Barabasi, A. - L., Boldrini, C., Bonchi, F., Cattuto, C., Chiaromonte, F., Comandé, G., Conti, M., Coté, M., Dignum, F., Dignum, V., Domingo-Ferrer, J., Ferragina, P., Giannotti, F., Guidotti, R., Helbing, D., Kaski, K., Kertész, J., Lehmann, S., Lepri, B., Lukowicz, P., Matwin, S., Jiménez, D. Megías, Monreale, A., Morik, K., Oliver, N., Passarella, A., Passerini, A., Pedreschi, D., Pentland, A., Pianesi, F., Pratesi, F., Rinzivillo, S., Ruggieri, S., Siebes, A., Torra, V., Trasarti, R., van den Hoven, J., and Vespignani, A., ?Give more data, awareness and control to individual citizens, and they will help COVID-19 containment?, 2021.

M.  Setzu, Guidotti, R., Monreale, A., Turini, F., Pedreschi, D., and Giannotti, F., ?GLocalX - From Local to Global Explanations of Black Box AI Models?, vol. 294, p. 103457, 2021.

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.

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.

B.  Dong, Wang, H., Monreale, A., Pedreschi, D., Giannotti, F., and Guo, W., ?Authenticated Outlier Mining for Outsourced Databases?, IEEE Transactions on Dependable and Secure Computing, vol. 17, pp. 222 - 235, 2020.

R.  Guidotti, Monreale, A., Matwin, S., and Pedreschi, D., ?Black Box Explanation by Learning Image Exemplars in the Latent Feature Space?, in Machine Learning and Knowledge Discovery in Databases, Cham, 2020.

N.  Forgó, Hänold, S., van den Hoven, J., Krügel, T., Lishchuk, I., Mahieu, R., Monreale, A., Pedreschi, D., Pratesi, F., and van Putten, D., ?An ethico-legal framework for social data science?, 2020.

M.  Setzu, Guidotti, R., Monreale, A., and Turini, F., ?Global Explanations with Local Scoring?, in Machine Learning and Knowledge Discovery in Databases, Cham, 2020.

R.  Pellungrini, Pappalardo, L., Simini, F., and Monreale, A., ?Modeling Adversarial Behavior Against Mobility Data Privacy?, IEEE Transactions on Intelligent Transportation SystemsIEEE Transactions on Intelligent Transportation Systems, pp. 1 - 14, 2020.

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.

F.  Pratesi, Gabrielli, L., Cintia, P., Monreale, A., and Giannotti, F., ?PRIMULE: Privacy risk mitigation for user profiles?, vol. 125, p. 101786, 2020.

R.  Guidotti, Monreale, A., and Pedreschi, D., ?The AI black box Explanation Problem?, ERCIM NEWS, pp. 12?13, 2019.

C.  Panigutti, Guidotti, R., Monreale, A., and Pedreschi, D., ?Explaining multi-label black-box classifiers for health applications?, in International Workshop on Health Intelligence, 2019.

R.  Guidotti, Monreale, A., Giannotti, F., Pedreschi, D., Ruggieri, S., and Turini, F., ?Factual and Counterfactual Explanations for Black Box Decision Making?, IEEE Intelligent Systems, 2019.

R.  Guidotti, Monreale, A., and Cariaggi, L., ?Investigating Neighborhood Generation Methods for Explanations of Obscure Image Classifiers?, in Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2019.

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.

R.  Pellungrini, Monreale, A., and Guidotti, R., ?Privacy Risk for Individual Basket Patterns?, in ECML PKDD 2018 Workshops, Cham, 2019.

R.  Pellungrini, Pappalardo, L., Pratesi, F., and Monreale, A., ?Analyzing Privacy Risk in Human Mobility Data?, in Software Technologies: Applications and Foundations - STAF 2018 Collocated Workshops, Toulouse, France, June 25-29, 2018, Revised Selected Papers, 2018.

R.  Guidotti, Gabrielli, L., Monreale, A., Pedreschi, D., and Giannotti, F., ?Discovering temporal regularities in retail customers? shopping behavior?, EPJ Data Science, vol. 7, p. 6, 2018.

M.  Natilli, Monreale, A., Guidotti, R., and Pappalardo, L., ?Exploring Students Eating Habits Through Individual Profiling and Clustering Analysis?, in ECML PKDD 2018 Workshops, 2018.

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.

G.  Amato, Candela, L., Castelli, D., Esuli, A., Falchi, F., Gennaro, C., Giannotti, F., Monreale, A., Nanni, M., Pagano, P., Pappalardo, L., Pedreschi, D., Pratesi, F., Rabitti, F., Rinzivillo, S., Rossetti, G., Ruggieri, S., Sebastiani, F., and Tesconi, M., ?How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science?, in A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years, S.  Flesca, Greco, S., Masciari, E., and Saccà, D., Eds. Cham: Springer International Publishing, 2018, pp. 287 - 306.

R.  Guidotti, Monreale, A., and Rinzivillo, S., ?Learning Data Mining?, in 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA)2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA), 2018.

R.  Guidotti, Monreale, A., Ruggieri, S., Pedreschi, D., Turini, F., and Giannotti, F., ?Local Rule-Based Explanations of Black Box Decision Systems?, 2018.

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.

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.

R.  Guidotti, Monreale, A., Ruggieri, S., Turini, F., Giannotti, F., and Pedreschi, D., ?A survey of methods for explaining black box models?, ACM computing surveys (CSUR), vol. 51, p. 93, 2018.

B.  Dong, Wang, H. Wendy, Monreale, A., Pedreschi, D., Giannotti, F., and Guo, W., ?Authenticated Outlier Mining for Outsourced Databases?, IEEE Transactions on Dependable and Secure Computing, 2017.

R.  Guidotti, Monreale, A., Nanni, M., Giannotti, F., and Pedreschi, D., ?Clustering Individual Transactional Data for Masses of Users?, in Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2017.

R.  Pellungrini, Pappalardo, L., Pratesi, F., and Monreale, A., ?A Data Mining Approach to Assess Privacy Risk in Human Mobility Data?, ACM Trans. Intell. Syst. Technol., vol. 9, pp. 31:1?31:27, 2017.

R.  Pellungrini, Pappalardo, L., Pratesi, F., and Monreale, A., ?Fast Estimation of Privacy Risk in Human Mobility Data?. 2017.

R.  Trasarti, Guidotti, R., Monreale, A., and Giannotti, F., ?MyWay: Location prediction via mobility profiling?, Information Systems, vol. 64, pp. 350?367, 2017.

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.

S.  Bergamaschi, Carlini, E., Ceci, M., Furletti, B., Giannotti, F., Malerba, D., Mezzanzanica, M., Monreale, A., Pasi, G., Pedreschi, D., Perego, R., and Ruggieri, S., ?Big Data Research in Italy: A Perspective?, Engineering, vol. 2, p. 163, 2016.

M.  Nanni, Trasarti, R., Monreale, A., Grossi, V., and Pedreschi, D., ?Driving Profiles Computation and Monitoring for Car Insurance CRM?, Journal ACM Transactions on Intelligent Systems and Technology (TIST), vol. 8, pp. 14:1?14:26, 2016.

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.

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.

P.  Ayris, Berthou, J. - Y., Bruce, R., Lindstaedt, S., Monreale, A., Mons, B., Murayama, Y., Södergård, C., Tochtermann, K., and Wilkinson, R., Realising the European open science cloud. 2016.

R.  Guidotti, Monreale, A., Rinzivillo, S., Pedreschi, D., and Giannotti, F., ?Unveiling mobility complexity through complex network analysis?, Social Network Analysis and Mining, vol. 6, p. 59, 2016.

V.  Grossi, Monreale, A., Nanni, M., Pedreschi, D., and Turini, F., ?Clustering Formulation Using Constraint Optimization?, in Software Engineering and Formal Methods - {SEFM} 2015 Collocated Workshops: ATSE, HOFM, MoKMaSD, and VERY*SCART, York, UK, September 7-8, 2015, Revised Selected Papers, 2015.

S.  Hajian, Domingo-Ferrer, J., Monreale, A., Pedreschi, D., and Giannotti, F., ?Discrimination- and privacy-aware patterns?, Data Min. Knowl. Discov., vol. 29, pp. 1733?1782, 2015.

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.

A.  Basu, Monreale, A., Trasarti, R., Corena, J. C., Giannotti, F., Pedreschi, D., Kiyomoto, S., Miyake, Y., and Yanagihara, T., ?A risk model for privacy in trajectory data?, Journal of Trust Management, vol. 2, p. 9, 2015.

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.  Basu, Corena, J. C., Monreale, A., Pedreschi, D., Giannotti, F., Kiyomoto, S., Vaidya, J., and Miyake, Y., ?CF-inspired Privacy-Preserving Prediction of Next Location in the Cloud?, in Cloud Computing Technology and Science (CloudCom), 2014 IEEE 6th International Conference on, 2014.

S.  Hajian, Monreale, A., Pedreschi, D., Domingo-Ferrer, J., and Giannotti, F., ?Fair pattern discovery?, in Symposium on Applied Computing, {SAC} 2014, Gyeongju, Republic of Korea - March 24 - 28, 2014, 2014, pp. 113?120.

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.

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.

R.  Guidotti, Monreale, A., Rinzivillo, S., Pedreschi, D., and Giannotti, F., ?Retrieving Points of Interest from Human Systematic Movements?, in Software Engineering and Formal Methods, Springer International Publishing, 2014, pp. 294?308.

M.  Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., ?Evolving networks: Eras and turning points?, Intell. Data Anal., vol. 17, pp. 27?48, 2013.

M.  Magnani, Monreale, A., Rossetti, G., and Giannotti, F., ?On multidimensional network measures?, in SEDB 2013, 2013.

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, 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.

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.

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.

R.Liu, Wang, H. Wendy, Monreale, A., Pedreschi, D., Giannotti, F., and Guo, W., ?AUDIO: An Integrity Auditing Framework of Outlier-Mining-as-a-Service Systems.?, in Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2012 , 2012.

G.  Bachi, Coscia, M., Monreale, A., and Giannotti, F., ?Classifying Trust/Distrust Relationships in Online Social Networks?, in 2012 International Conference on Privacy, Security, Risk and Trust, {PASSAT} 2012, and 2012 International Confernece on Social Computing, SocialCom 2012, Amsterdam, Netherlands, September 3-5, 2012, 2012, pp. 552?557.

S.  Hajian, Monreale, A., Pedreschi, D., Domingo-Ferrer, J., and Giannotti, F., ?Injecting Discrimination and Privacy Awareness Into Pattern Discovery?, in 12th {IEEE} International Conference on Data Mining Workshops, {ICDM} Workshops, Brussels, Belgium, December 10, 2012, 2012, pp. 360?369.

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.

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.

M.  Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., ?Foundations of Multidimensional Network Analysis?, in ASONAM, 2011, pp. 485-489.

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.

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.

M.  Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., ?As Time Goes by: Discovering Eras in Evolving Social Networks?, in PAKDD (1), 2010, pp. 81-90.

M.  Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., ?Discovering Eras in Evolving Social Networks (Extended Abstract)?, in SEBD, 2010, pp. 78-85.

R.  Trasarti, Rinzivillo, S., Pinelli, F., Nanni, M., Monreale, A., Renso, C., Pedreschi, D., and Giannotti, F., ?Exploring Real Mobility Data with M-Atlas?, in ECML/PKDD (3), 2010, pp. 624-627.

G.  Andrienko, Andrienko, N., Giannotti, F., Monreale, A., Pedreschi, D., and Rinzivillo, S., ?A Generalisation-based Approach to Anonymising Movement Data?, 13th AGILE conference on Geographic Information Science. 2010.

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, 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, Trasarti, R., Renso, C., Pedreschi, D., and Bogorny, V., ?Preserving privacy in semantic-rich trajectories of human mobility?, in SPRINGL, 2010, pp. 47-54.

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.

R. G.  Pensa, Monreale, A., Pinelli, F., and Pedreschi, D., ?Anonymous Sequences from Trajectory Data?, 17th Italian Symposium on Advanced Database Systems. Camogli, Italy, 2009.

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.

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.

F.  Pinelli, Monreale, A., Trasarti, R., and Giannotti, F., ?Location prediction within the mobility data analysis environment Daedalus?, First International Workshop on Computational Transportation Science. Dublin, Ireland, 2008.

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.