SHIELD: Scalable Homomorphic Implementation of Encrypted Data-Classifiers
By Alhassan F. Khedr, Glenn Gulak, Vinod Vaikuntanathan. 2015
118 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Kim Laine
- Wei Dai
- M. Sadegh Riazi
- Blake Pelton
- Shai Halevi
- Karthik Nandakumar
- Le Trieu Phong
- Sharath Pankanti
In Computational Theory and Mathematics
- Kim Laine
- Wei Dai
- Blake Pelton
- M. Sadegh Riazi
- Karthik Nandakumar
- Le Trieu Phong
- Sharath Pankanti
- Shai Halevi
Citations in the corpus
- HEAX: An Architecture for Computing on Encrypted Data (2019, methodology): “GPU is an alternative computing platform to accelerate evaluation functions [6, 21, 24, 42, 48, 59].”
- Labeled PSI from Fully Homomorphic Encryption with Malicious Security (2018, unknown): “[33] constructed a secure email spam filter and a secure multi-keyword search from homomorphic encryption.”
- A High-Speed Accelerator for Homomorphic Encryption using the Karatsuba Algorithm (2017, background): “138:2 V. Migliore et al. Most promising Fully Homomorphic Encryption (FHE) schemes base their arithmetic on a ring of polynomials with integer coefficients [5], [6], [7], [8], [9], [10].”
- Scalable and Secure Logistic Regression via Homomorphic Encryption (2016, methodology): “[12] examine classifiers using Bayesian filter and decision trees on encrypted data using homomorphic encryption supporting a few multiplications over ciphertexts.”
- Towards Deep Neural Network Training on Encrypted Data (2019, background): “Though only a theoretical plausibility result at first, the last decade saw major algorithmic improvements (e.g., [6, 5, 13]), resulting in many research prototypes that implement this technology and attempt to use it in different settings (e.g., [4, 12, 17, 8, 14, 19], among others).”
- HEAX: High-Performance Architecture for Computation on Homomorphically Encrypted Data in the Cloud (2019, methodology): “Graphics Processing Unit (GPU) is an alternative computing platform to accelerate evaluation in HE [25, 22, 57, 5, 50, 72].”