Title | ||
---|---|---|
Towards the AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data With GPUs |
Abstract | ||
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Deep Learning as a Service (DLaaS) stands as a promising solution for cloud-based inference applications. In this setting, the cloud has a pre-learned model whereas the user has samples on which she wants to run the model. The biggest concern with DLaaS is the user privacy if the input samples are sensitive data. We provide here an efficient privacy-preserving system by employing high-end technolo... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/TETC.2020.3014636 | IEEE Transactions on Emerging Topics in Computing |
Keywords | DocType | Volume |
Servers,Encryption,Computational modeling,Artificial neural networks,Training | Journal | 9 |
Issue | ISSN | Citations |
3 | 2168-6750 | 3 |
PageRank | References | Authors |
0.40 | 21 | 9 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ahmad Al Badawi | 1 | 3 | 0.40 |
Jin Chao | 2 | 4 | 0.76 |
Jie Lin | 3 | 3495 | 502.80 |
Chan Fook Mun | 4 | 3 | 0.40 |
Sim Jun Jie | 5 | 3 | 0.40 |
Benjamin Hong Meng Tan | 6 | 3 | 1.08 |
Xiao Nan | 7 | 5 | 0.82 |
Khin Mi Mi Aung | 8 | 38 | 4.16 |
Vijay Chandrasekhar | 9 | 191 | 22.83 |