Data science without seeing the data advanced encryption to the rescue
"Intuit is investing in adopting the new techniques of fully homomorphic encryption, which are just now moving from the theoretical and purely academic sphere into the realm of practitioners, a transition that will take many years. FHE means arithmetic operations can be calculated on the encryp...
| Otros Autores: | , |
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| Formato: | Vídeo online |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
O'Reilly Media
2019.
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009822825706719 |
| Sumario: | "Intuit is investing in adopting the new techniques of fully homomorphic encryption, which are just now moving from the theoretical and purely academic sphere into the realm of practitioners, a transition that will take many years. FHE means arithmetic operations can be calculated on the encrypted data, which opens up new possibilities for privacy-safe machine learning. Tzvika Barenholz and Induprakas Keri detail some of the progress Intuit has made in solving the many technical problems that still plague FHE, including performance, support for different types of models and AI techniques, and the related system design. This session is from the 2019 O'Reilly Artificial Intelligence Conference in San Jose, CA."--Resource description page. |
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| Notas: | Title from title screen (viewed July 23, 2020). |
| Descripción Física: | 1 online resource (1 streaming video file (38 min., 24 sec.)) : digital, sound, color |
