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A systematic review on the status and progress of homomorphic encryption technologies
With the emergence of big data and the continued growth in cloud computing applications,
serious security and privacy concerns emerged. Consequently, several researchers and …
serious security and privacy concerns emerged. Consequently, several researchers and …
Craterlake: a hardware accelerator for efficient unbounded computation on encrypted data
Fully Homomorphic Encryption (FHE) enables offloading computation to untrusted servers
with cryptographic privacy. Despite its attractive security, FHE is not yet widely adopted due …
with cryptographic privacy. Despite its attractive security, FHE is not yet widely adopted due …
F1: A fast and programmable accelerator for fully homomorphic encryption
Fully Homomorphic Encryption (FHE) allows computing on encrypted data, enabling secure
offloading of computation to untrusted servers. Though it provides ideal security, FHE is …
offloading of computation to untrusted servers. Though it provides ideal security, FHE is …
HEAX: An architecture for computing on encrypted data
With the rapid increase in cloud computing, concerns surrounding data privacy, security, and
confidentiality also have been increased significantly. Not only cloud providers are …
confidentiality also have been increased significantly. Not only cloud providers are …
Sok: Fully homomorphic encryption accelerators
Fully Homomorphic Encryption (FHE) is a key technology enabling privacy-preserving
computing. However, the fundamental challenge of FHE is its inefficiency, due primarily to …
computing. However, the fundamental challenge of FHE is its inefficiency, due primarily to …
Faster cryptonets: Leveraging sparsity for real-world encrypted inference
Homomorphic encryption enables arbitrary computation over data while it remains
encrypted. This privacy-preserving feature is attractive for machine learning, but requires …
encrypted. This privacy-preserving feature is attractive for machine learning, but requires …
Secure Data Computation Using Deep Learning and Homomorphic Encryption: A Survey.
Deep learning and its variant techniques have surpassed classical machine algorithms due
to their high performance gaining remarkable results and are used in a broad range of …
to their high performance gaining remarkable results and are used in a broad range of …
NTT architecture for a linux-ready RISC-V fully-homomorphic encryption accelerator
This paper proposes two architectures for the acceleration of Number Theoretic Transforms
(NTTs) using a novel Montgomery-based butterfly. We first design a custom NTT hardware …
(NTTs) using a novel Montgomery-based butterfly. We first design a custom NTT hardware …
F1: A fast and programmable accelerator for fully homomorphic encryption (extended version)
Fully Homomorphic Encryption (FHE) allows computing on encrypted data, enabling secure
offloading of computation to untrusted serves. Though it provides ideal security, FHE is …
offloading of computation to untrusted serves. Though it provides ideal security, FHE is …
Impress: Large integer multiplication expression rewriting for fpga hls
Large integer multiplication is becoming a major challenge for FPGA-based acceleration of
many cryptographic applications. Existing techniques for decomposing and optimizing large …
many cryptographic applications. Existing techniques for decomposing and optimizing large …