Protecting privacy through homomorphic encryption /
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Imprint: | Cham : Springer, [2021] ©2021 |
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Description: | 1 online resource : illustrations (chiefly color) |
Language: | English |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/12942433 |
Table of Contents:
- 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).