Results 101 to 110 of about 390 (116)
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SIMD Bootstrapping in FHEW Scheme
2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2023Man Chen, Yuyue Chen, Zoe L. Jiang
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Accelerating bootstrapping in FHEW using GPUs
2015 IEEE 26th International Conference on Application-specific Systems, Architectures and Processors (ASAP), 2015Recently, the usage of GPU is not limited to the jobs associated with graphics and a wide variety of applications take advantage of the flexibility of GPUs to accelerate the computing performance. Among them, one of the most emerging applications is the fully homomorphic encryption (FHE) scheme, which enables arbitrary computations on encrypted data ...
Yunheung Paek +2 more
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A non-interactive and dynamic multi-party FHE scheme based on FHEW
Peer-to-Peer Networking and ApplicationsVishal Saraswat +2 more
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Efficient Blind Rotation in FHEW Using Refined Decomposition and NTT
Lecture Notes in Computer ScienceLi Zhihao, Xianhui Lu, Wang Kunpeng
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An Efficient CKKS-FHEW/TFHE Hybrid Encrypted Inference Framework
Lecture Notes in Computer ScienceShih-Hao Hung +2 more
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Optimizing Encrypted Neural Networks: Model Design, Quantization and Fine-Tuning Using FHEW/TFHE
Third-generation Fully Homomorphic Encryption (FHE), particularly the FHEW/TFHE schemes, is recognized for its balanced security requirements, small parameters, and low memory usage, though the current methods in the scenarios of Deep Neural Network (DNN) inference still have high computational costs, limiting the practical applicability.
I-Ping Tu, Chih-Fan Hsu
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Invited Paper: Efficient Design of FHEW/TFHE Bootstrapping Implementation with Scalable Parameters
Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided DesignMing-Chien Ho, Chih-Fan Hsu
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Hardware Acceleration for Fully Homomorphic Encryption Scheme Switching from CKKS to FHEW
2024 58th Asilomar Conference on Signals, Systems, and ComputersKeshab K. Parhi, Antian Wang
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Large-Precision Homomorphic Sign Evaluation Using FHEW/TFHE Bootstrapping
Lecture Notes in Computer Science, 2023Yuriy S Polyakov +2 more
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Improved Circuit Synthesis with Amortized Bootstrapping for FHEW-like Schemes.
IACR Cryptol. ePrint Arch., 2023Johannes Mono +2 more
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