Protecting Privacy through Homomorphic Encryption
Editor
- Kristin Lauter(Facebook AI Research, West Coast Research Science)Wei Dai(Microsoft Research, Cryptography and Privacy Research Group)Kim Laine(Microsoft Research, Cryptography and Privacy Research Group)
Abstract
No abstract is available for this item.Individual chapters are listed in the "Chapters" tab
Suggested Citation
- Kristin Lauter & Wei Dai & Kim Laine (ed.), 2021. "Protecting Privacy through Homomorphic Encryption," Springer Books, Springer, number 978-3-030-77287-1, March.
Handle: RePEc:spr:sprbok:978-3-030-77287-1
DOI: 10.1007/978-3-030-77287-1
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Book Chapters
The following chapters of this book are listed in IDEAS- Jung Hee Cheon & Anamaria Costache & Radames Cruz Moreno & Wei Dai & Nicolas Gama & Mariya Georgieva & Shai Halevi & Miran Kim & Sunwoong Kim & Kim Laine & Yuriy Polyakov & Yongsoo Song, 2021. "Introduction to Homomorphic Encryption and Schemes," Springer Books, in: Kristin Lauter & Wei Dai & Kim Laine (ed.), Protecting Privacy through Homomorphic Encryption, pages 3-28, Springer.
- Martin Albrecht & Melissa Chase & Hao Chen & Jintai Ding & Shafi Goldwasser & Sergey Gorbunov & Shai Halevi & Jeffrey Hoffstein & Kim Laine & Kristin Lauter & Satya Lokam & Daniele Micciancio & Dustin, 2021. "Homomorphic Encryption Standard," Springer Books, in: Kristin Lauter & Wei Dai & Kim Laine (ed.), Protecting Privacy through Homomorphic Encryption, pages 31-62, Springer.
- Juan Troncoso-Pastoriza & David Froelicher & Peizhao Hu & Asma Aloufi & Jean-Pierre Hubaux, 2021. "Privacy-Preserving Data Sharing and Computation Across Multiple Data Providers with Homomorphic Encryption," Springer Books, in: Kristin Lauter & Wei Dai & Kim Laine (ed.), Protecting Privacy through Homomorphic Encryption, pages 65-80, Springer.
- Dimitar Jetchev & Alistair Muir, 2021. "Secure and Confidential Rule Matching for Network Traffic Analysis," Springer Books, in: Kristin Lauter & Wei Dai & Kim Laine (ed.), Protecting Privacy through Homomorphic Encryption, pages 81-86, Springer.
- Xiaoqian Jiang & Miran Kim & Kristin Lauter & Tim Scott & Shayan Shams, 2021. "Trusted Monitoring Service (TMS)," Springer Books, in: Kristin Lauter & Wei Dai & Kim Laine (ed.), Protecting Privacy through Homomorphic Encryption, pages 87-95, Springer.
- Flavio Bergamaschi & Tancrède Lepoint & Peter Leihn & Sreekanth Kannepalli, 2021. "Private Set Intersection and Compute," Springer Books, in: Kristin Lauter & Wei Dai & Kim Laine (ed.), Protecting Privacy through Homomorphic Encryption, pages 97-104, Springer.
- Travis Morrison & Sarah Scheffler & Bijeeta Pal & Alexander Viand, 2021. "Private Outsourced Translation for Medical Data," Springer Books, in: Kristin Lauter & Wei Dai & Kim Laine (ed.), Protecting Privacy through Homomorphic Encryption, pages 107-116, Springer.
- Benjamin M. Case & Marcella Hastings & Siam Hussain & Monika Trimoska, 2021. "HappyKidz: Privacy Preserving Phone Usage Tracking," Springer Books, in: Kristin Lauter & Wei Dai & Kim Laine (ed.), Protecting Privacy through Homomorphic Encryption, pages 117-127, Springer.
- I. Demertzis & D. Froelicher & N. Luo & M. Norberg Hovd, 2021. "i-SEAL2: Identifying Spam EmAiL with SEAL," Springer Books, in: Kristin Lauter & Wei Dai & Kim Laine (ed.), Protecting Privacy through Homomorphic Encryption, pages 129-132, Springer.
- Deepika Natarajan & Anders Dalskov & Daniel Kales & Shabnam Khanna, 2021. "PRIORIS: Enabling Secure Detection of Suicidal Ideation from Speech Using Homomorphic Encryption," Springer Books, in: Kristin Lauter & Wei Dai & Kim Laine (ed.), Protecting Privacy through Homomorphic Encryption, pages 133-146, Springer.
- Laia Amorós & Syed Mahbub Hafiz & Keewoo Lee & M. Caner Tol, 2021. "Gimme That Model!: A Trusted ML Model Trading Protocol," Springer Books, in: Kristin Lauter & Wei Dai & Kim Laine (ed.), Protecting Privacy through Homomorphic Encryption, pages 147-155, Springer.
- Leo de Castro & Erin Hales & Mimee Xu, 2021. "HEalth: Privately Computing on Shared Healthcare Data," Springer Books, in: Kristin Lauter & Wei Dai & Kim Laine (ed.), Protecting Privacy through Homomorphic Encryption, pages 157-162, Springer.
- Anh Pham & Mohammad Samragh & Sameer Wagh & Emily Wenger, 2021. "Private Movie Recommendations for Children," Springer Books, in: Kristin Lauter & Wei Dai & Kim Laine (ed.), Protecting Privacy through Homomorphic Encryption, pages 163-167, Springer.
- Aria Shahverdi & Ni Trieu & Chenkai Weng & William Youmans, 2021. "Privacy-Preserving Prescription Drug Management Using Fully Homomorphic Encryption," Springer Books, in: Kristin Lauter & Wei Dai & Kim Laine (ed.), Protecting Privacy through Homomorphic Encryption, pages 169-176, Springer.
- Jung Hee Cheon & Anamaria Costache & Radames Cruz Moreno & Wei Dai & Nicolas Gama & Mariya Georgieva & Shai Halevi & Miran Kim & Sunwoong Kim & Kim Laine & Yuriy Polyakov & Yongsoo Song, 2022. "Correction to: Introduction to Homomorphic Encryption and Schemes," Springer Books, in: Kristin Lauter & Wei Dai & Kim Laine (ed.), Protecting Privacy through Homomorphic Encryption, pages C1-C1, Springer.
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