Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Roberto Pellungrini"'
Autor:
Fernanda Oliveira Gomes, Roberto Pellungrini, Anna Monreale, Chiara Renso, Jean Everson Martina
Publikováno v:
IEEE Access, Vol 12, Pp 136354-136378 (2024)
With the rise of the Internet of Things (IoT), social networks, and mobile devices, vast amounts of mobility data are continuously generated. These data encompass diverse location information from various sources, including smart vehicles, sensors, w
Externí odkaz:
https://doaj.org/article/fa735550146643e19833b1b0aa7bb9f0
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 8014 (2024)
With the exponential growth of mobility data generated by IoT, social networks, and mobile devices, there is a pressing need to address privacy concerns. Our work proposes methods to reduce the computation of privacy risk evaluation on mobility datas
Externí odkaz:
https://doaj.org/article/6a266324b1b441bd95998a4899fe3e54
Publikováno v:
Bioengineering, Vol 11, Iss 4, p 369 (2024)
This paper focuses on the use of local Explainable Artificial Intelligence (XAI) methods, particularly the Local Rule-Based Explanations (LORE) technique, within healthcare and medical settings. It emphasizes the critical role of interpretability and
Externí odkaz:
https://doaj.org/article/cf73e9a0bd5a41449046c2edd431b486
scikit-mobility: A Python Library for the Analysis, Generation, and Risk Assessment of Mobility Data
Publikováno v:
Journal of Statistical Software, Vol 103, Pp 1-38 (2022)
The last decade has witnessed the emergence of massive mobility datasets, such as tracks generated by GPS devices, call detail records, and geo-tagged posts from social media platforms. These datasets have fostered a vast scientific production on var
Externí odkaz:
https://doaj.org/article/cde8ae0756cb4107b29e5efd1224bfd5
Autor:
Giulia Schneider, Letizia Milli, Giulio Rosesetti, Bettina Berendt, Salvatore Ruggieri, Dino Pedreschi, Roberto Pellungrini, Francesca Pratesi, Lorenzo Dalla Corte, Vern R. Walker
Publikováno v:
Elgar Encyclopedia of Law and Data Science ISBN: 9781839104596
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb60c1c01f0735cd607315966ef4230f
https://doi.org/10.4337/9781839104596.00006
https://doi.org/10.4337/9781839104596.00006
Autor:
Caterina Sganga, Anna Monreale, Roberto Pellungrini, Francesca Pratesi, Athanasios Kiourtis, Argyro Mavrogiorgou, Dimosthenis Kyriazis, Cesare Bartolini, Michela Natilli, Salvatore Rinzivillo, Franco Turini, Gloria González Fuster, Gianclaudio Malgieri, Salvatore Ruggieri, Jeanna Neefe Matthews
Publikováno v:
Elgar Encyclopedia of Law and Data Science ISBN: 9781839104596
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5f5b8cde247f783f9135e6cf58adc88
https://doi.org/10.4337/9781839104596.00009
https://doi.org/10.4337/9781839104596.00009
Autor:
Roberto Pellungrini
Publikováno v:
From Data to Models and Back ISBN: 9783031160103
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::676378e2ae9b86eb137f483ee8090e5b
https://doi.org/10.1007/978-3-031-16011-0_7
https://doi.org/10.1007/978-3-031-16011-0_7
Publikováno v:
IEEE transactions on intelligent transportation systems (Online) (2020): 1–14. doi:10.1109/TITS.2020.3021911
info:cnr-pdr/source/autori:Pellungrini R.; Pappalardo L.; Simini F.; Monreale A./titolo:Modeling Adversarial Behavior Against Mobility Data Privacy/doi:10.1109%2FTITS.2020.3021911/rivista:IEEE transactions on intelligent transportation systems (Online)/anno:2020/pagina_da:1/pagina_a:14/intervallo_pagine:1–14/volume
info:cnr-pdr/source/autori:Pellungrini R.; Pappalardo L.; Simini F.; Monreale A./titolo:Modeling Adversarial Behavior Against Mobility Data Privacy/doi:10.1109%2FTITS.2020.3021911/rivista:IEEE transactions on intelligent transportation systems (Online)/anno:2020/pagina_da:1/pagina_a:14/intervallo_pagine:1–14/volume
Privacy risk assessment is a crucial issue in any privacy-aware analysis process. Traditional frameworks for privacy risk assessment systematically generate the assumed knowledge for a potential adversary, evaluating the risk without realistically mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7496d05f95ec17cbbcd7c541ce53f559
https://openportal.isti.cnr.it/doc?id=people______::589e9f5f7afbc05c024e36c8357a6901
https://openportal.isti.cnr.it/doc?id=people______::589e9f5f7afbc05c024e36c8357a6901
Publikováno v:
Discovery Science ISBN: 9783030615260
DS
DS 2020-International Conference on Discovery Science, pp. 403–418, Thessaloniki, Greece, October 19-21, 2020
info:cnr-pdr/source/autori:Naretto F.; Pellungrini R.; Monreale A.; Nardini F.M.; Musolesi M./congresso_nome:DS 2020-International Conference on Discovery Science/congresso_luogo:Thessaloniki, Greece/congresso_data:October 19-21, 2020/anno:2020/pagina_da:403/pagina_a:418/intervallo_pagine:403–418
Discovery Science Conference
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Discovery Science
DS
DS 2020-International Conference on Discovery Science, pp. 403–418, Thessaloniki, Greece, October 19-21, 2020
info:cnr-pdr/source/autori:Naretto F.; Pellungrini R.; Monreale A.; Nardini F.M.; Musolesi M./congresso_nome:DS 2020-International Conference on Discovery Science/congresso_luogo:Thessaloniki, Greece/congresso_data:October 19-21, 2020/anno:2020/pagina_da:403/pagina_a:418/intervallo_pagine:403–418
Discovery Science Conference
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Discovery Science
Mobility data is a proxy of different social dynamics and its analysis enables a wide range of user services. Unfortunately, mobility data are very sensitive because the sharing of people’s whereabouts may arise serious privacy concerns. Existing f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16419b74fa71abde1d3613da461d2ab8
https://doi.org/10.1007/978-3-030-61527-7_27
https://doi.org/10.1007/978-3-030-61527-7_27
Publikováno v:
ECML PKDD 2020 Workshops, pp. 501–516, Ghent, Belgium, 14-18/10/2020
info:cnr-pdr/source/autori:Naretto F.; Pellungrini R.; Nardini F.M.; Giannotti F./congresso_nome:ECML PKDD 2020 Workshops/congresso_luogo:Ghent, Belgium/congresso_data:14-18%2F10%2F2020/anno:2020/pagina_da:501/pagina_a:516/intervallo_pagine:501–516
Communications in Computer and Information Science
Communications in Computer and Information Science-ECML PKDD 2020 Workshops
ECML PKDD 2020 Workshops
ECML PKDD 2020 Workshops ISBN: 9783030659646
PKDD/ECML Workshops
info:cnr-pdr/source/autori:Naretto F.; Pellungrini R.; Nardini F.M.; Giannotti F./congresso_nome:ECML PKDD 2020 Workshops/congresso_luogo:Ghent, Belgium/congresso_data:14-18%2F10%2F2020/anno:2020/pagina_da:501/pagina_a:516/intervallo_pagine:501–516
Communications in Computer and Information Science
Communications in Computer and Information Science-ECML PKDD 2020 Workshops
ECML PKDD 2020 Workshops
ECML PKDD 2020 Workshops ISBN: 9783030659646
PKDD/ECML Workshops
The analysis of privacy risk for mobility data is a fundamental part of any privacy-aware process based on such data. Mobility data are highly sensitive. Therefore, the correct identification of the privacy risk before releasing the data to the publi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5779f02938e2d9a5c74f25be0ffab183
https://openportal.isti.cnr.it/doc?id=people______::e9a20570b5fa3f646524981d4a65e6aa
https://openportal.isti.cnr.it/doc?id=people______::e9a20570b5fa3f646524981d4a65e6aa