1. Privacy-Preserving Decision Trees Training and Prediction
2. Ahmad Al Badawi Jack Bates Flavio Bergamaschi David Bruce Cousins Saroja Erabelli Nicholas Genise Shai Halevi Hamish Hunt Andrey Kim Yongwoo Lee Zeyu Liu Daniele Micciancio Ian Quah Yuriy Polyakov Saraswathy R.V. Kurt Rohloff Jonathan Saylor Dmitriy Suponitsky Matthew Triplett Vinod Vaikuntanathan and Vincent Zucca. 2022. OpenFHE: Open-Source Fully Homomorphic Encryption Library. Cryptology ePrint Archive Paper 2022/915. (2022). https://eprint.iacr.org/2022/915 https://eprint.iacr.org/2022/915. Ahmad Al Badawi Jack Bates Flavio Bergamaschi David Bruce Cousins Saroja Erabelli Nicholas Genise Shai Halevi Hamish Hunt Andrey Kim Yongwoo Lee Zeyu Liu Daniele Micciancio Ian Quah Yuriy Polyakov Saraswathy R.V. Kurt Rohloff Jonathan Saylor Dmitriy Suponitsky Matthew Triplett Vinod Vaikuntanathan and Vincent Zucca. 2022. OpenFHE: Open-Source Fully Homomorphic Encryption Library. Cryptology ePrint Archive Paper 2022/915. (2022). https://eprint.iacr.org/2022/915 https://eprint.iacr.org/2022/915.
3. Machine Learning Classification over Encrypted Data
4. Florian Bourse , Michele Minelli , Matthias Minihold , and Pascal Paillier . 2018 . Fast Homomorphic Evaluation of Deep Discretized Neural Networks. In Advances in Cryptology - CRYPTO 2018 - 38th Annual International Cryptology Conference, Santa Barbara, CA, USA, August 19--23, 2018 , Proceedings, Part III (Lecture Notes in Computer Science), , Hovav Shacham and Alexandra Boldyreva (Eds.) , Vol. 10993 . Springer, 483--512. https://doi.org/10.1007/978--3--319--96878-0_17 10.1007/978--3--319--96878-0_17 Florian Bourse, Michele Minelli, Matthias Minihold, and Pascal Paillier. 2018. Fast Homomorphic Evaluation of Deep Discretized Neural Networks. In Advances in Cryptology - CRYPTO 2018 - 38th Annual International Cryptology Conference, Santa Barbara, CA, USA, August 19--23, 2018, Proceedings, Part III (Lecture Notes in Computer Science), , Hovav Shacham and Alexandra Boldyreva (Eds.), Vol. 10993. Springer, 483--512. https://doi.org/10.1007/978--3--319--96878-0_17