Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Marina Blanton"'
Publikováno v:
Proceedings on Privacy Enhancing Technologies. 2023:432-445
Motivated by the importance of floating-point computations, we study the problem of securely and accurately summing many floating-point numbers. Prior work has focused on security absent accuracy or accuracy absent security, whereas our approach achi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85bb0fda35a6d63111e125e20eccc52d
https://doi.org/10.56553/popets-2023-0090
https://doi.org/10.56553/popets-2023-0090
Publikováno v:
Proceedings on Privacy Enhancing Technologies. 2023:608-626
Secure multi-party computation has seen significant performance advances and increasing use in recent years. Techniques based on secret sharing offer attractive performance and are a popular choice for privacy-preserving machine learning applications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51449913657ed2caf075ef02eaa222af
https://doi.org/10.56553/popets-2023-0035
https://doi.org/10.56553/popets-2023-0035
Autor:
Marina Blanton, Chen Yuan
Publikováno v:
Proceedings 2022 Network and Distributed System Security Symposium.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab5c125e6950dc09c3db763dd90af2ec
https://doi.org/10.14722/ndss.2022.23106
https://doi.org/10.14722/ndss.2022.23106
Publikováno v:
Applied Cryptography and Network Security ISBN: 9783030578077
ACNS (1)
ACNS (1)
Secure multi-party computation permits evaluation of any desired functionality on private data without disclosing the data to the participants. It is gaining its popularity due to increasing collection of user, customer, or patient data and the need
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d4bfd32979393c85c5bb8d8d060e2c7
https://doi.org/10.1007/978-3-030-57808-4_19
https://doi.org/10.1007/978-3-030-57808-4_19
Publikováno v:
International Journal of Information Security. 18:371-391
In this paper, we consider the problem of secure pattern matching that uses evaluation of non-deterministic string matching automata (NSMA). Our solution is based on a class of hardware-based pattern matching algorithms called bit-parallel pattern ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61f113c19c51eb49db8ae01a88ee1588
https://doi.org/10.1007/s10207-018-0410-8
https://doi.org/10.1007/s10207-018-0410-8
Publikováno v:
ACM Computing Surveys. 51:1-40
The rapid development of cloud computing promotes a wide deployment of data and computation outsourcing to cloud service providers by resource-limited entities. Based on a pay-per-use model, a client without enough computational power can easily outs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d8d25765648ccef52c043025535a47d
https://doi.org/10.1145/3158363
https://doi.org/10.1145/3158363
Publikováno v:
ACM Transactions on Privacy and Security. 21:1-34
Recent compilers allow a general-purpose program (written in a conventional programming language) that handles private data to be translated into a secure distributed implementation of the corresponding functionality. The resulting program is then gu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f9f5078a4d206b5959f3e06f46c8ec8
https://doi.org/10.1145/3154600
https://doi.org/10.1145/3154600
Publikováno v:
IEEE Security & Privacy. 15:20-28
In many genomic applications, especially nonmedical applications, computations are carried out in a server-mediated setting where the server enables joint genomic computations between users. Thus, it’s sensible to utilize the server’s computation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a096501e5e4b07b307026b502db90a11
https://doi.org/10.1109/msp.2017.3681056
https://doi.org/10.1109/msp.2017.3681056
Publikováno v:
International Journal of Information Security. 16:577-601
Hidden Markov model (HMM) is a popular statistical tool with a large number of applications in pattern recognition. In some of these applications, such as speaker recognition, the computation involves personal data that can identify individuals and m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28845834e423d228af3b6e53a2b9ec7f
https://doi.org/10.1007/s10207-016-0350-0
https://doi.org/10.1007/s10207-016-0350-0
Efficient Server-Aided Secure Two-Party Function Evaluation with Applications to Genomic Computation
Publikováno v:
Proceedings on Privacy Enhancing Technologies, Vol 2016, Iss 4, Pp 144-164 (2016)
Computation based on genomic data is becoming increasingly popular today, be it for medical or other purposes. Non-medical uses of genomic data in a computation often take place in a server-mediated setting where the server offers the ability for joi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21b282f742e185cc78a701375f43fb5b
https://doi.org/10.1515/popets-2016-0033
https://doi.org/10.1515/popets-2016-0033