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Conference Paper
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.
DOI
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F. Bonchi
,
Giannotti, F.
,
Mazzanti, A.
, and
Pedreschi, D.
,
“
Pre-processing for Constrained Pattern Mining
”
, in
SEBD
, 2003, pp. 519-530.
Google Scholar
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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.
DOI
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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.
DOI
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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.
DOI
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R. Pellungrini
,
Monreale, A.
, and
Guidotti, R.
,
“
Privacy Risk for Individual Basket Patterns
”
, in
ECML PKDD 2018 Workshops
, Cham, 2019.
DOI
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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.
DOI
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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.
Google Scholar
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M. Atzori
,
Bonchi, F.
,
Giannotti, F.
,
Pedreschi, D.
, and
Abul, O.
,
“
Privacy-Aware Knowledge Discovery from Location Data
”
, in
MDM
, 2007, pp. 283-287.
Google Scholar
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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.
DOI
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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.
DOI
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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.
DOI
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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.
Google Scholar
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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.
DOI
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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.
Google Scholar
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D. Pedreschi
,
“
A Proof Method for Runtime Properties of Prolog Programs
”
, in
ICLP
, 1994, pp. 584-598.
Google Scholar
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K. R. Apt
and
Pedreschi, D.
,
“
Proving Termination of General Prolog Programs
”
, in
TACS
, 1991, pp. 265-289.
Google Scholar
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P. Mascellani
and
Pedreschi, D.
,
“
Proving termination of Prolog programs
”
, in
GULP-PRODE (1)
, 1994, pp. 46-61.
Google Scholar
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L. Corbucci
,
Heikkila, M. A.
,
Noguero, D. Solans
,
Monreale, A.
, and
Kourtellis, N.
,
“
PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning
”
, 2024.
Google Scholar
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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.
DOI
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B. Furletti
,
Bellandi, A.
,
Romei, A.
, and
Grossi, V.
,
“
PUSHING CONSTRAINTS IN ASSOCIATION RULE MINING: AN ONTOLOGY-BASED APPROACH
”
, in
IADIS International Conference WWW/Internet 2007
, 2007.
Google Scholar
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F. Bonchi
and
Giannotti, F.
,
“
Pushing Constraints to Detect Local Patterns
”
, in
Local Pattern Detection
, 2004, pp. 1-19.
Google Scholar
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A. Raffaetà
,
Renso, C.
, and
Turini, F.
,
“
Qualitative Reasoning in a Spatio-Temporal Language
”
, in
SEBD
, 2002, pp. 105-118.
Google Scholar
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A. Raffaetà
,
Renso, C.
, and
Turini, F.
,
“
Qualitative Spatial Reasoning in a Logical Framework
”
, in
AI*IA
, 2003, pp. 78-90.
Google Scholar
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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.
DOI
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