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SoK: Fully Homomorphic Encryption Accelerators
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Public-Key Cryptosystems Based on Composite Degree Residuosity Classes
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Better Bootstrapping for Approximate Homomorphic Encryption
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Efficient Bootstrapping for Approximate Homomorphic Encryption with Non-sparse Keys
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FINAL: Faster FHE Instantiated with NTRU and LWE
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cuHE: A Homomorphic Encryption Accelerator Library
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Homomorphic Encryption for Arithmetic of Approximate Numbers
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Homomorphic Lower Digits Removal and Improved FHE Bootstrapping
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On Ideal Lattices and Learning with Errors over Rings
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Homomorphic Evaluation of the AES Circuit
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Homomorphic Encryption from Learning with Errors: Conceptually-Simpler, Asymptotically-Faster, Attribute-Based
inferredcites →https://doi.org/10.1007/978-3-662-44774-1_17openalex-snapshot
Toward Practical Homomorphic Evaluation of Block Ciphers Using Prince
inferredcites →https://doi.org/10.1007/978-3-662-46800-5_24openalex-snapshot
FHEW: Bootstrapping Homomorphic Encryption in Less Than a Second
inferredcites →https://doi.org/10.1007/978-3-662-53887-6_1openalex-snapshot
Faster Fully Homomorphic Encryption: Bootstrapping in Less Than 0.1 Seconds
inferredcites →https://doi.org/10.1007/s10623-012-9720-4openalex-snapshot
Fully homomorphic SIMD operations
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Symmetries of directed graphs and the Chinese remainder theorem
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An Algorithm for the Machine Calculation of Complex Fourier Series
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Privacy-Preserving Machine Learning With Fully Homomorphic Encryption for Deep Neural Network
inferredcites →https://doi.org/10.1109/micro56248.2022.00086openalex-snapshot
ARK: Fully Homomorphic Encryption Accelerator with Runtime Data Generation and Inter-Operation Key Reuse
inferredcites →https://doi.org/10.1109/sp.2017.12openalex-snapshot
SecureML: A System for Scalable Privacy-Preserving Machine Learning
inferredcites →https://doi.org/10.1109/tc.2014.2345388openalex-snapshot
Accelerating Fully Homomorphic Encryption in Hardware
inferredcites →https://doi.org/10.1109/tc.2016.2574340openalex-snapshot
A Custom Accelerator for Homomorphic Encryption Applications
inferredcites →https://doi.org/10.1109/tc.2020.2988765openalex-snapshot
HEAWS: An Accelerator for Homomorphic Encryption on the Amazon AWS FPGA
inferredcites →https://doi.org/10.1109/tetc.2016.2619669openalex-snapshot
Designing an FPGA-Accelerated Homomorphic Encryption Co-Processor
inferredcites →https://doi.org/10.1109/tvlsi.2019.2943127openalex-snapshot
Design and Implementation of Encryption/Decryption Architectures for BFV Homomorphic Encryption Scheme
inferredcites →https://doi.org/10.1145/2633600openalex-snapshot
(Leveled) Fully Homomorphic Encryption without Bootstrapping
inferredcites →https://doi.org/10.1145/2789116.2789145openalex-snapshot
The advantages and limitations of high level synthesis for FPGA based image processing
inferredcites →https://doi.org/10.1145/3126558openalex-snapshot
A High-Speed Accelerator for Homomorphic Encryption using the Karatsuba Algorithm
inferredcites →https://doi.org/10.1145/3133956.3134061openalex-snapshot
Fast Private Set Intersection from Homomorphic Encryption
inferredcites →https://doi.org/10.1145/3214303openalex-snapshot
A Survey on Homomorphic Encryption Schemes
inferredcites →https://doi.org/10.1145/3460120.3485381openalex-snapshot
OnionPIR: Response Efficient Single-Server PIR
inferredcites →https://doi.org/10.1145/3466752.3480070openalex-snapshot
F1: A Fast and Programmable Accelerator for Fully Homomorphic Encryption
inferredcites →https://doi.org/10.1145/359340.359342openalex-snapshot
A method for obtaining digital signatures and public-key cryptosystems
inferredcites →https://doi.org/10.1145/3627703.3629563openalex-snapshot
Accelerating Privacy-Preserving Machine Learning With GeniBatch
inferredcites →https://doi.org/10.1145/76263.76288openalex-snapshot
FFTs in external of hierarchical memory
inferredcites →https://doi.org/10.1515/jmc-2019-0026openalex-snapshot
CHIMERA: Combining Ring-LWE-based Fully Homomorphic Encryption Schemes
inferredcites →https://doi.org/10.1609/aaai.v33i01.33019466openalex-snapshot
Logistic Regression on Homomorphic Encrypted Data at Scale
inferredcites →https://doi.org/10.46586/tches.v2021.i4.114-148openalex-snapshot
Over 100x Faster Bootstrapping in Fully Homomorphic Encryption through Memory-centric Optimization with GPUs
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inferred← citeshttps://doi.org/10.1109/hpca68181.2026.11408507openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/hpec62836.2024.10938507openalex-snapshot
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