Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Guillermo Navarro-Arribas"'
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030511555
The amount of information currently available is a threat to individual privacy. Data privacy is the area that studies how to process data and propose methods so that disclosure does not take place.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42933cf7945004dda47431e12cbc2429
https://doi.org/10.1007/978-3-030-51156-2_1
https://doi.org/10.1007/978-3-030-51156-2_1
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030003043
DPM/CBT@ESORICS
DPM/CBT@ESORICS
Machine learning, data mining and statistics are used to analyze the data and to build models from them. Data privacy for big data needs to find a compromise between data analysis and disclosure risk. Privacy by design machine learning algorithms nee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab22cfed6ccded9d4ccb83126767f477
https://doi.org/10.1007/978-3-030-00305-0_30
https://doi.org/10.1007/978-3-030-00305-0_30
Publikováno v:
Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona
Digital.CSIC. Repositorio Institucional del CSIC
instname
Universitat Autònoma de Barcelona
Digital.CSIC. Repositorio Institucional del CSIC
instname
Unstructured texts are a very popular data type and still widely unexplored in the privacy preserving data mining field. We consider the problem of providing public information about a set of confidential documents. To that end we have developed a me
Autor:
Guillermo Navarro-Arribas, Hannes Hartenstein, Jordi Herrera-Joancomartí, Joaquin Garcia-Alfaro
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319678153
Data Privacy Management, Cryptocurrencies and Blockchain Technology
Data Privacy Management, Cryptocurrencies and Blockchain Technology
This book constitutes the refereed conference proceedings of the 14th International Workshop on Data Privacy Management, DPM 2019, and the Third International Workshop on Cryptocurrencies and Blockchain Technology, CBT 2019, held in conjunction with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07bcb83f6172ffbb6eab7b62a29b4c9c
https://doi.org/10.1007/978-3-319-67816-0
https://doi.org/10.1007/978-3-319-67816-0
Publikováno v:
Modeling Decisions for Artificial Intelligence ISBN: 9783319674216
MDAI
MDAI
This paper presents an overview of current needs on data provenance and data privacy, and discusses state-of-the-art results in this area. The paper highlights the difficulties that we need to face and finishes with some lines that require further wo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d255bad3d5e6a9daa07ee50363803881
https://doi.org/10.1007/978-3-319-67422-3_1
https://doi.org/10.1007/978-3-319-67422-3_1
Publikováno v:
Unsupervised Learning Algorithms ISBN: 9783319242095
In this chapter we review some of our results related to the use of clustering in the area of data privacy. The paper gives a brief overview of data privacy and, more specifically, on data driven methods for data privacy and discusses where clusterin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::571c342366ac2d5ebfba2c271db429c4
https://doi.org/10.1007/978-3-319-24211-8_10
https://doi.org/10.1007/978-3-319-24211-8_10
Publikováno v:
Privacy and Identity Management. Facing up to Next Steps ISBN: 9783319557823
Privacy and Identity Management
Privacy and Identity Management. Facing up to Next Steps : 11th IFIP WG 9.2, 9.5, 9.6/11.7, 11.4, 11.6/SIG 9.2.2 International Summer School, Karlstad, Sweden, August 21-26, 2016, Revised Selected Papers
Anja Lehmann; Diane Whitehouse; Simone Fischer-Hübner; Lothar Fritsch; Charles Raab. Privacy and Identity Management. Facing up to Next Steps : 11th IFIP WG 9.2, 9.5, 9.6/11.7, 11.4, 11.6/SIG 9.2.2 International Summer School, Karlstad, Sweden, August 21-26, 2016, Revised Selected Papers, AICT-498, Springer International Publishing, pp.15-26, 2016, IFIP Advances in Information and Communication Technology, 978-3-319-55782-3. ⟨10.1007/978-3-319-55783-0_2⟩
Privacy and Identity Management
Privacy and Identity Management. Facing up to Next Steps : 11th IFIP WG 9.2, 9.5, 9.6/11.7, 11.4, 11.6/SIG 9.2.2 International Summer School, Karlstad, Sweden, August 21-26, 2016, Revised Selected Papers
Anja Lehmann; Diane Whitehouse; Simone Fischer-Hübner; Lothar Fritsch; Charles Raab. Privacy and Identity Management. Facing up to Next Steps : 11th IFIP WG 9.2, 9.5, 9.6/11.7, 11.4, 11.6/SIG 9.2.2 International Summer School, Karlstad, Sweden, August 21-26, 2016, Revised Selected Papers, AICT-498, Springer International Publishing, pp.15-26, 2016, IFIP Advances in Information and Communication Technology, 978-3-319-55782-3. ⟨10.1007/978-3-319-55783-0_2⟩
Data privacy has been studied in the area of statistics (statistical disclosure control) and computer science (privacy preserving data mining and privacy enhancing technologies) for at least 40 years. In this period models, measures, methods, and tec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f656cfe1840878337ff9e9eb4e34620
https://doi.org/10.1007/978-3-319-55783-0_2
https://doi.org/10.1007/978-3-319-55783-0_2
Publikováno v:
Studies in Computational Intelligence ISBN: 9783319098845
Advanced Research in Data Privacy
Digital.CSIC. Repositorio Institucional del CSIC
instname
Advanced Research in Data Privacy
Digital.CSIC. Repositorio Institucional del CSIC
instname
This book provides an overview of the research work on data privacy and privacy enhancing technologies carried by the participants of the ARES project. ARES (Advanced Research in Privacy an Security, CSD2007-00004) has been one of the most important
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbe0e5ed00a6c548b601a8ba99adf8ae
https://doi.org/10.1007/978-3-319-09885-2
https://doi.org/10.1007/978-3-319-09885-2
Publikováno v:
Studies in Computational Intelligence ISBN: 9783319098845
Advanced Research in Data Privacy
Advanced Research in Data Privacy
Privacy Preserving Data Mining (PPDM) is an application field, which is becoming very relevant. Its goal is the study of new mechanisms which allow the dissemination of confidential data for data mining tasks while preserving individual private infor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a2857d976e79c653e0884764166850c
https://doi.org/10.1007/978-3-319-09885-2_5
https://doi.org/10.1007/978-3-319-09885-2_5
Publikováno v:
Studies in Computational Intelligence ISBN: 9783319098845
Advanced Research in Data Privacy
Advanced Research in Data Privacy
In this paper we present an overview of the results obtained by our research group within the area of data privacy. Results focus on data-driven problems (respondent and owner privacy with an unknown use) and user privacy. We have developed some new
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8466f606ce746b024cd8f505dea84247
https://doi.org/10.1007/978-3-319-09885-2_3
https://doi.org/10.1007/978-3-319-09885-2_3