Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Lars Brenna"'
Publikováno v:
Array, Vol 13, Iss , Pp 100118- (2022)
Fully Homomorphic Encryption (FHE) and Trusted Execution Environ-ments (TEEs) are complementing approaches that can both secure computa-tions running remotely on a public cloud. Existing FHE schemes are, however, malleable by design and lack integrit
Externí odkaz:
https://doaj.org/article/a2f724ee16284ecca68d590cd76436b9
Autor:
Aakash Sharma, Thomas Bye Nilsen, Katja Pauline Czerwinska, Daria Onitiu, Lars Brenna, Dag Johansen, Håvard D. Johansen
Publikováno v:
Frontiers in Big Data, Vol 4 (2021)
Researchers and researched populations are actively involved in participatory epidemiology. Such studies collect many details about an individual. Recent developments in statistical inferences can lead to sensitive information leaks from seemingly in
Externí odkaz:
https://doaj.org/article/e387790faa9b416e8d3455c1af6c5008
Presentation at the online conference International Conference on Information-communication technologies enhanced Social Sciences and Humanities (ICTeSSH), 28.06.21 - 30.06.21, arranged by Science 2.0 Alliance. https://ictessh.pubpub.org/. In human s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a989848369595803cb8fbfb988805f3f
https://hdl.handle.net/10037/22223
https://hdl.handle.net/10037/22223
Autor:
Thomas Bye Nilsen, Håvard D. Johansen, Dag Johansen, Lars Brenna, Katja Pauline Czerwinska, Daria Onitiu, Aakash Sharma
Publikováno v:
Sharma, A, Bye Nilsen, T, Czerwinska, K P, Onitiu, D, Brenna, L, Johansen, D & Dagenborg Johansen, H 2021, ' Up-to-the-minute privacy policies via gossips in participatory epidemiological studies ', Frontiers in Big Data, vol. 4, 624424 . https://doi.org/10.3389/fdata.2021.624424
Frontiers in Big Data
Frontiers in Big Data, Vol 4 (2021)
Frontiers in Big Data
Frontiers in Big Data, Vol 4 (2021)
Researchers and researched populations are actively involved in participatory epidemiology. Such studies collect many details about an individual. Recent developments in statistical inferences can lead to sensitive information leaks from seemingly in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d45e5105b8be4f2201636e1ef3ea956d
https://hdl.handle.net/10037/21816
https://hdl.handle.net/10037/21816
Publikováno v:
JMIR Human Factors
JMIR Human Factors, Vol 7, Iss 4, p e19085 (2020)
JMIR Human Factors, Vol 7, Iss 4, p e19085 (2020)
Background Complying with individual privacy perceptions is essential when processing personal information for research. Our specific research area is performance development of elite athletes, wherein nutritional aspects are important. Before adopti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63721bb87191a319708fcfad4660db50
https://hdl.handle.net/10037/23698
https://hdl.handle.net/10037/23698
BACKGROUND Complying with individual privacy perceptions is essential when processing personal information for research. Our specific research area is performance development of elite athletes, wherein nutritional aspects are important. Before adopti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b377c5f5ea0c292269ea041eb2e481e
https://doi.org/10.2196/preprints.19085
https://doi.org/10.2196/preprints.19085
Publikováno v:
TPS-ISA
The emerging serverless cloud paradigm, also known as Function as a Service (FaaS), enables auto-scalable cloud services on-demand, but requires complete trust in the surrounding infrastructure. Workloads hosting sensitive data, such as medical recor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d557b5e54ce55ffd31b8a52093d77e89
https://doi.org/10.1109/tps-isa48467.2019.00012
https://doi.org/10.1109/tps-isa48467.2019.00012
Publikováno v:
DEBS
Efficient matching of incoming events to persistent queries is fundamental to event pattern matching, complex event processing, and publish/subscribe systems. Recent processing engines based on non-deterministic finite automata (NFAs) have demonstrat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::882f6efc0ad8a29b0e85ba7af3645d6c
https://doi.org/10.1145/1619258.1619263
https://doi.org/10.1145/1619258.1619263
Autor:
Mingsheng Hong, Mohit Thatte, Joel Ossher, Walker White, Lars Brenna, Biswanath Panda, Alan Demers, Mirek Riedewald, Johannes Gehrke
Publikováno v:
SIGMOD Conference
We propose a demonstration of Cayuga, a complex event monitoring system for high speed data streams. Our demonstration will show Cayuga applied to monitoring Web feeds; the demo will illustrate the expressiveness of the Cayuga query language, the sca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29aa4d61f8e717490ae2f2dd8b2e464c
https://doi.org/10.1145/1247480.1247620
https://doi.org/10.1145/1247480.1247620
Publikováno v:
Proceedings of the 1st international workshop on Contextualized attention metadata: collecting, managing and exploiting of rich usage information.
This paper presents a model for a software component that monitors a user's interaction with a computer system and distributes summaries of that interaction to remote repositories. We illustrate the model with a prototype, implemented as a Web browse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb84dcb83a7a3808a894cda9d057a062
https://doi.org/10.1145/1183604.1183611
https://doi.org/10.1145/1183604.1183611