Zobrazeno 1 - 10
of 165
pro vyhledávání: '"Takao Murakami"'
Publikováno v:
IEEE Access, Vol 7, Pp 45563-45582 (2019)
Cancelable biometric schemes have been widely studied to protect templates in biometric authentication over networks. These schemes transform biometric features and perform pattern matching without restoring the original features. Although they stron
Externí odkaz:
https://doaj.org/article/f68d4fee8f0741be876691e12ac5d468
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030939434
ESORICS 2021 International Workshops, DPM 2021 and CBT 2021Conference Location: Darmstadt, GermanyDate of Conference: October 8, 2021
Publikováno v:
Web of Science
Publishing graph statistics under node differential privacy has attracted much attention since it provides a stronger privacy guarantee than edge differential privacy. Existing works related to node differential privacy assume a trusted data curator
Autor:
Takao Murakami, Yuichi Sei
Publikováno v:
IEEE Internet of Things Journal. :1-1
Publikováno v:
Proceedings on Privacy Enhancing Technologies, Vol 2020, Iss 3, Pp 264-283 (2020)
Privacy risks of collaborative filtering (CF) have been widely studied. The current state-of-theart inference attack on user behaviors (e.g., ratings/purchases on sensitive items) for CF is by Calandrino et al. (S&P, 2011). They showed that if an adv
Publikováno v:
ESORICS 2021-26th European Symposium on Research in Computer Security
ESORICS 2021-26th European Symposium on Research in Computer Security, Oct 2021, Darmstadt / Virtual, Germany
ESORICS 2021-26th European Symposium on Research in Computer Security, Oct 2021, Darmstadt / Virtual, Germany. pp.563--583, ⟨10.1007/978-3-030-88428-4_28⟩
Computer Security – ESORICS 2021 ISBN: 9783030884277
ESORICS (2)
ESORICS 2021-26th European Symposium on Research in Computer Security, Oct 2021, Darmstadt / Virtual, Germany
ESORICS 2021-26th European Symposium on Research in Computer Security, Oct 2021, Darmstadt / Virtual, Germany. pp.563--583, ⟨10.1007/978-3-030-88428-4_28⟩
Computer Security – ESORICS 2021 ISBN: 9783030884277
ESORICS (2)
Extended differential privacy, a generalization of standard differential privacy (DP) using a general metric, has been widely studied to provide rigorous privacy guarantees while keeping high utility. However, existing works on extended DP are limite
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15acb721723da0465b2c11ce49132710
https://hal.archives-ouvertes.fr/hal-03319774
https://hal.archives-ouvertes.fr/hal-03319774
Publikováno v:
IJCNN
Transfer learning has been widely studied and gained increasing popularity to improve the accuracy of machine learning models by transferring some knowledge acquired in different training. However, no prior work has pointed out that transfer learning
Publikováno v:
International Journal of Information Security. 18:581-617
In this paper, we introduce a new concept of digital signature that we call fuzzy signature, which is a signature scheme that uses a noisy string such as biometric data as a private key, but does not require user-specific auxiliary data (which is als
Publikováno v:
IEEE Access, Vol 7, Pp 45563-45582 (2019)
Cancelable biometric schemes have been widely studied to protect templates in biometric authentication over networks. These schemes transform biometric features and perform pattern matching without restoring the original features. Although they stron
Publikováno v:
Procedia Structural Integrity. 19:123-129
In accordance with aging infrastructure systems such as steel bridges, fatigue of metals becomes serious risks. Fatigue crack may lead the structure to catastrophic failure. Countermeasures against fatigue failure are required. “Crack growth arrest