Efficient Homomorphic Convolution Designs on FPGA for Secure Inference

Author:

Hu Xiao1ORCID,Li Minghao1,Tian Jing1,Wang Zhongfeng1ORCID

Affiliation:

1. School of Electronic Science and Engineering, Nanjing University, Nanjing, China

Funder

National Natural Science Foundation of China

Key Research Plan of Jiangsu Province of China

High-Level Personnel Project of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Software

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Heterogeneous Reconfigurable Accelerator for Homomorphic Evaluation on Encrypted Data;IEEE Access;2024

2. Development of a Device on FPGA to Implement the Base Operation of Neural-like Data Encryption Using Polynomials;2023 IEEE 18th International Conference on Computer Science and Information Technologies (CSIT);2023-10-19

3. SHARP: A Short-Word Hierarchical Accelerator for Robust and Practical Fully Homomorphic Encryption;Proceedings of the 50th Annual International Symposium on Computer Architecture;2023-06-17

4. FHE-Booster: Accelerating Fully Homomorphic Execution with Fine-tuned Bootstrapping Scheduling;2023 IEEE International Symposium on Hardware Oriented Security and Trust (HOST);2023-05-01

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