Protecting Privacy through Homomorphic Encryption
This book summarizes recent inventions, provides guidelines and recommendations, and demonstrates many practical applications of homomorphic encryption. This collection of papers represents the combined wisdom of the community of leading experts on homomorphic encryption. In the past 3 years, a glob...
| Autor Corporativo: | |
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| Otros Autores: | , , |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer International Publishing
2021.
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| Edición: | 1st ed. 2021. |
| Colección: | Springer eBooks.
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| Acceso en línea: | Conectar con la versión electrónica |
| Ver en Universidad de Navarra: | https://innopac.unav.es/record=b45998140*spi |
Tabla de Contenidos:
- Part 1: Introduction to Homomorphic Encryption (Dai)
- Part 2: Homomorphic Encryption Security Standard: Homomorphic Encryption Security Standard (Laine)
- Part 3: Applications of Homomorphic Encryption: Privacy-preserving Data Sharing and Computation Across Multiple Data Providers with Homomorphic Encryption (Troncoso-Pastoriza)
- Secure and Confidential Rule Matching for Network Traffic Analysis (Jetchev)
- Trusted Monitoring Service (TMS) (Scott)
- Private Set Intersection and Compute (Kannepalli)
- Part IV Applications of Homomorphic Encryption (at the Private AI Bootcamp): Private Outsourced Translation for Medical Data (Viand)
- HappyKidz: Privacy Preserving Phone Usage Tracking (Hastings)
- i-SEAL2: Identifying Spam EmAiL with SEAL (Froelicher)
- PRIORIS: Enabling Secure Suicidal Ideation Detection from Speech using Homomorphic Machine Learning (Natarajan)
- Gimme That Model!: A Trusted ML Model Trading Protocol (Lee)
- HEalth: Privately Computing on Shared Healthcare Data (Hales)
- Private Movie Recommendations for Children (Wagh S)
- Privacy-Preserving Prescription Drug Management Using Homomorphic Encryption (Youmans).
