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FeCrypto: Instruction Set Architecture for Cryptographic Algorithms Based on FeFET-Based In-Memory Computing

文献类型：期刊论文

作者Liu, Rui2,3; Zhang, Xiaoyu1,3; Xie, Zhiwen1,3; Wang, Xinyu1,3; Li, Zerun1,3; Chen, Xiaoming1,3; Han, Yinhe1,3; Tang, Minghua2
刊名IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS
出版日期2023-09-01
卷号42期号:9页码:2889-2902
关键词Computing-in-memory (CiM) cryptographic algorithm ferroelectric field-effect transistor (FeFET) instruc-tion set architecture (ISA)
ISSN号0278-0070
DOI10.1109/TCAD.2022.3233736
英文摘要often achieved by artificially adding noise, near-term quantum Recently, computers are inherently noisy and it was observed that this leads to natural differential privacy as a feature. In this work we discuss quantum differential privacy in an information theoretic framework by casting it as a quantum divergence. A main advantage of this approach is that differential privacy becomes a property solely based on the output states of the computation, without the need to check it for every measurement. This leads to simpler proofs and generalized statements of its properties as well as several new bounds for both, general and specific, noise models. In particular, these include common representations of quantum circuits and quantum machine learning concepts. Here, we focus on the difference in the amount of noise required to achieve certain levels of differential privacy versus the amount that would make any computation useless. Finally, we also generalize the classical concepts of local differential privacy, R & eacute;nyi differential privacy and the hypothesis testing interpretation to the quantum setting, providing several new properties and insights. Index Terms- Quantum computing, quantum information science, data privacy, differential privacy.
资助项目National Key Research and Development Program of China[2018YFA0701500] ; National Natural Science Foundation of China[62122076] ; National Natural Science Foundation of China[61834006] ; National Natural Science Foundation of China[62025404] ; National Natural Science Foundation of China[92164108] ; National Natural Science Foundation of China[11835008] ; Key Research Program of Frontier Sciences, Chinese Academy of Sciences[ZDBS-LY-JSC012] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDB44000000] ; Foundation of Innovation Center of Radiation Application[KFZC2020020901] ; Youth Innovation Promotion Association CAS ; Innovative Project of Institute of Computing Technology, Chinese Academy of Sciences[E261040]
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:001059125400010
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://119.78.100.204/handle/2XEOYT63/21157]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Chen, Xiaoming; Tang, Minghua
作者单位1.Univ Chinese Acad Sci, Beijing 100190, Peoples R China
2.Xiangtan Univ, Sch Mat Sci & Engn, Hunan 411105, Peoples R China
3.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Liu, Rui,Zhang, Xiaoyu,Xie, Zhiwen,et al. FeCrypto: Instruction Set Architecture for Cryptographic Algorithms Based on FeFET-Based In-Memory Computing[J]. IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS,2023,42(9):2889-2902.
APA Liu, Rui.,Zhang, Xiaoyu.,Xie, Zhiwen.,Wang, Xinyu.,Li, Zerun.,...&Tang, Minghua.(2023).FeCrypto: Instruction Set Architecture for Cryptographic Algorithms Based on FeFET-Based In-Memory Computing.IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS,42(9),2889-2902.
MLA Liu, Rui,et al."FeCrypto: Instruction Set Architecture for Cryptographic Algorithms Based on FeFET-Based In-Memory Computing".IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS 42.9(2023):2889-2902.

入库方式： OAI收割

来源：计算技术研究所

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