RPU: The Ring Processing Unit
Author:
Affiliation:
1. NYU
2. Carnegie Mellon University
3. USC Information Sciences Institute
4. Duality Technologies
5. USC Viterbi School of Engineering
Funder
Defense Advanced Research Projects Agency
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10158063/10158070/10158208.pdf?arnumber=10158208
Reference39 articles.
1. CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy;gilad-bachrach;In Proceedings of The 33rd International Conference on Machine Learning,2016
2. Efficient number theoretic transform implementation on GPU for homomorphic encryption
3. CHET: an optimizing compiler for fully-homomorphic neural-network inferencing;dathathri;in Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation PLDI,2019
4. Securing Approximate Homomorphic Encryption Using Differential Privacy
5. Privacy-Preserving Machine Learning With Fully Homomorphic Encryption for Deep Neural Network
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