Homomorphic Encryption

Applications & Examples

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References

Note: The sources marked in purple are ideal for further reading, particularly for a non-technical audience. Tester
M. Blake, J. McWaters, and R. Galaski. “The next generation of data-sharing in financial services: Using privacy enhancing techniques to unlock new value”. In: World Economic Forum. 2019, pp. 1–36.
A. Acar, H. Aksu, A. S. Uluagac, and M. Conti. “A Survey on Homomorphic Encryption Schemes: Theory and Implementation”. In: 51.4 (2018). issn: 0360-0300. doi: 10.1145/3214303.
N. Dowlin, R. Gilad-Bachrach, K. Laine, K. Lauter, M. Naehrig, and J. Wernsing. CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy. Tech. rep. MSR-TR-2016-3. 2016.
E. Maass. Fully Homomorphic Encryption: Unlocking the Value of Sensitive Data While Preserving Privacy. 2020. (visited on 05/23/2023).
A. S. Gillis. Homomorphic Encryption. 2022. (visited on 05/23/2023).

R. Yackel. What is homomorphic encryption, and why isn’t it mainstream? 2021. (visited on 05/23/2023).
A. Wood, K. Najarian, and D. Kahrobaei. “Homomorphic encryption for machine learning in medicine and bioinformatics”. In: ACM Computing Surveys (CSUR) 53.4 (2020), pp. 1–35. doi: 10.1145/3394658.

References

Note: The sources marked in purple are ideal for further reading, particularly for a non-technical audience. Tester
Chainlink. Homomorphic Encryption. 2023. (visited on 05/23/2023).
J. Contreras. Homomorphic encryption with SEAL. (visited on 05/23/2023).
A. Jackson. 20 Use Cases of Homomorphic Encryption Every CISO Must Know. 2023. (visited on 05/23/2023).
J. Zhou, Z. Cao, X. Dong, and A. V. Vasilakos. “Security and Privacy for Cloud-Based IoT: Challenges”. In: IEEE Communications Magazine 55.1 (2017), pp. 26–33. doi: 10.1109/MCOM.2017.1600363CM.
A. Lopardo, T. Farrand, A. J. Hall, and A. Benaissa. What is homomorphic encryption? 2020. (visited on 05/23/2023).
Gartner. "Gartner Says Digital Ethics is at the Peak of Inflated Expectations in the 2021 Gartner Hype Cycle for Privacy." 2021. (visited on 07/11/2023).
C. Cadwalladr and E. Graham-Harrison. Revealed: 50 million Facebook profiles harvested for Cambridge Analytica in major data breach. 2018. (visited on05/23/2023).

References

Note: The sources marked in purple are ideal for further reading, particularly for a non-technical audience. Tester
C. Cadwalladr and E. Graham-Harrison. Revealed: 50 million Facebook profiles harvested for Cambridge Analytica in major data breach. 2018. (visited on05/23/2023).
O. Masters, H. Hunt, E. Steffinlongo, J. Crawford, F. Bergamaschi, M. E. Dela Rosa, C. C. Quini, C. T. Alves, F. de Souza, and D. G. Ferreira. Towards a Homomorphic Machine Learning Big Data Pipeline for the Financial Services Sector. Cryptology ePrint Archive, Paper2019/1113. 2019.
IBM Research. Top Brazilian Bank Pilots Privacy Encryption Quantum Computers Can’t Break. 2020. (visited on 05/23/2023).
K. Holt. Facebook is reportedly trying to analyze encrypted data without deciphering it. 2021. (visited on 05/23/2023).

P. Martins, L. Sousa, and A. Mariano. “A Survey on Fully Homomorphic Encryption: An Engineering Perspective”. In: ACM Computing Surveys (CSUR) 50.6 (2017), pp. 1–33. doi: 10.1145/3124441.
A. Smith. Facebook is trying to analyse users’ encrypted messages without reading their texts, says new report. 2021. (visited on 05/23/2023).

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