I have been working primarily on machine learning algorithms, but recently I found privacy-preserving AI interesting. I would like to understand Homomorphic Encryption as one cybersecurity method in detail. I would appreciate any help regarding available resources.
I suggest reviewing the following article:
- Mohamed Alloghani, Mohammed M. Alani, Dhiya Al-Jumeily, Thar Baker, Jamila Mustafina, Abir Hussain, and Ahmed J. Aljaaf. A systematic review on the status and progress of homomorphic encryption technologies. Journal of Information Security and Applications, 48, 10 2019.
Dear Shokofeh Vahidiansadegh,
Info presented below may be helpful:
Can Homomorphic Encryption be Practical?
https://www.researchgate.net/publication/221609120_Can_Homomorphic_Encryption_be_Practical
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Homomorphic Encryption for Beginners: A Practical Guide (Part 1)
https://medium.com/privacy-preserving-natural-language-processing/homomorphic-encryption-for-beginners-a-practical-guide-part-1-b8f26d03a98a
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Somewhat Practical Fully Homomorphic Encryption?
https://eprint.iacr.org/2012/144.pdf
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Dear Shokofeh Vahidiansadegh,
Interesting research area. I like the approach to compare/mix ML algorithms and homomorphic encryption.
Keep it up.