SHARP: A Short-Word Hierarchical Accelerator for Robust and Practical Fully Homomorphic Encryption
Jongmin Kim, Sangpyo Kim, Jaewan Choi, Jaiyoung Park, Donghwan Kim, Jung Ho Ahn
2023年份
110被引次数
18顶会引用
摘要
Fully homomorphic encryption (FHE) is an emerging cryptographic technology that guarantees the privacy of sensitive user data by enabling direct computations on encrypted data. Despite the security benefits of this approach, FHE is associated with prohibitively high levels of computational and memory overhead, preventing its widespread use in real-world services. Numerous domain-specific hardware designs have been proposed to address this issue, but most of them use excessive amounts of chip area and power, leaving room for further improvements in terms of practicality.
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引用它的顶会 Paper18
- Orion: A Fully Homomorphic Encryption Framework for Deep LearningAustin Ebel, Karthik Garimella, Brandon ReagenASPLOS 2025 · 被引用 40 次
- Trinity: A General Purpose FHE AcceleratorXianglong Deng, Shengyu Fan, Zhicheng Hu, Zhuoyu Tian 等MICRO 2024 · 被引用 34 次
- Accelerating Zero-Knowledge Proofs Through Hardware-Algorithm Co-DesignNikola Samardzic, Simon Langowski, Srinivas Devadas, Daniel SánchezMICRO 2024 · 被引用 24 次
- A Tensor Compiler with Automatic Data Packing for Simple and Efficient Fully Homomorphic EncryptionAleksandar Krastev, Nikola Samardzic, Simon Langowski, Srinivas Devadas 等PLDI 2024 · 被引用 23 次
- Need for zkSpeed: Accelerating HyperPlonk for Zero-Knowledge ProofsAlhad Daftardar, Jianqiao Mo, Joey Ah-kiow, Benedikt Bünz 等ISCA 2025 · 被引用 12 次
相关 Paper
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