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The AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data with GPUs., , , , , , , , and . CoRR, (2018)Towards the AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data With GPUs., , , , , , , , and . IEEE Trans. Emerg. Top. Comput., 9 (3): 1330-1343 (2021)Implementation and Performance Evaluation of RNS Variants of the BFV Homomorphic Encryption Scheme., , , , and . IEEE Trans. Emerg. Top. Comput., 9 (2): 941-956 (2021)Implementation and Performance Evaluation of RNS Variants of the BFV Homomorphic Encryption Scheme., , , , and . IACR Cryptology ePrint Archive, (2018)Practical Deep Neural Network Protection for Unmodified Applications in Intel Software Guard Extension Environments., , , , and . Critical Infrastructure Protection, volume 686 of IFIP Advances in Information and Communication Technology, page 177-192. Springer, (2023)Faster Number Theoretic Transform on Graphics Processors for Ring Learning with Errors Based Cryptography., , and . SOLI, page 26-31. IEEE, (2018)Flexible Yet Secure De-duplication Service for Enterprise Data on Cloud Storage., , , and . ICCCRI, page 37-44. IEEE Computer Society, (2015)Incorporating Energy and Throughput Awareness in Design Space Exploration and Run-Time Mapping for Heterogeneous MPSoCs., , , and . DSD, page 513-521. IEEE Computer Society, (2013)Exploiting loop-array dependencies to accelerate the design space exploration with high level synthesis., , , and . DATE, page 157-162. ACM, (2015)sAES: A high throughput and low latency secure cloud storage with pipelined DMA based PCIe interface., , , , , and . FPT, page 374-377. IEEE, (2013)