Zobrazeno 1 - 10
of 419
pro vyhledávání: '"Jong-Seon No"'
Publikováno v:
ICT Express, Vol 10, Iss 4, Pp 891-894 (2024)
In this paper, we introduce new codes for the private information retrieval (PIR). The conventional Tian-Sun-Chen (TSC) scheme achieves PIR capacity under the perfect privacy conditions with the minimum message length. Based on the TSC scheme, weakly
Externí odkaz:
https://doaj.org/article/40d22333d6c14ef8afbcdb0af7ad02f6
Publikováno v:
IEEE Access, Vol 11, Pp 50310-50324 (2023)
As cloud computing and AI as a Service are provided, it is increasingly necessary to deal with privacy sensitive data. To deal with the sensitive data, there are two cases of outsourcing process: i) many clients participate dynamically ii) many clien
Externí odkaz:
https://doaj.org/article/b533193df91741b4a729a6de6d224958
Publikováno v:
IEEE Access, Vol 11, Pp 62062-62076 (2023)
Homomorphic encryption (HE) is one of the representative solutions to privacy-preserving machine learning (PPML) classification enabling the server to classify private data of clients while guaranteeing privacy. This work focuses on PPML using word-w
Externí odkaz:
https://doaj.org/article/d5379254a4fc487198d0d77fb2183fd7
Publikováno v:
IEEE Access, Vol 11, Pp 57285-57294 (2023)
In this paper, we propose the cycle-concentrating progressive edge growth (CC-PEG) algorithm for lifting protograph generalized low-density parity-check (GLDPC) codes. In GLDPC codes, undoped variable nodes (VNs) that are not connected to generalized
Externí odkaz:
https://doaj.org/article/c0cfe465b95840f18d309313ad837f8d
Autor:
Sanghoon Kang, Yunfei Gao, Jaeho Jeong, Seong-Joon Park, Jae-Won Kim, Jong-Seon No, Hahyeon Jeon, Jeong Wook Lee, Sunghwan Kim, Hosung Park, Albert No
Publikováno v:
IEEE Access, Vol 11, Pp 3781-3793 (2023)
DNA data storage systems have rapidly developed with novel error-correcting techniques, random access algorithms, and query systems. However, designing an algorithm for DNA storage systems is challenging, mainly due to the unpredictable nature of err
Externí odkaz:
https://doaj.org/article/f0d51c5a0ee9473495e5f2893ee89256
Publikováno v:
IEEE Access, Vol 10, Pp 131101-131108 (2022)
In this paper, we introduce a new design method of burst error control codes (BECCs), which can correct single burst error or two random bit errors by using the maximum likelihood syndrome decoder (MLSD), where the proposed BECCs are designed by a mo
Externí odkaz:
https://doaj.org/article/1f9711f0306d4cd7b35e4d57c038d0cd
Publikováno v:
IEEE Access, Vol 10, Pp 95462-95478 (2022)
In this paper, we propose a new code design technique, called partial doping, for protograph-based generalized low-density parity-check (GLDPC) codes. While the conventional construction method of protograph-based GLDPC codes is to replace some singl
Externí odkaz:
https://doaj.org/article/732d4e66f29d413aacc1237fd702eb73
Publikováno v:
IEEE Access, Vol 10, Pp 26163-26176 (2022)
The sign function can be adopted to implement the comparison operation, max function, and rectified linear unit (ReLU) function in the Cheon–Kim–Kim–Song (CKKS) scheme; hence, several studies have been conducted to efficiently evaluate the sign
Externí odkaz:
https://doaj.org/article/e1a8032779d44b929dfd023ddf73709a
Autor:
Joon-Woo Lee, Hyungchul Kang, Yongwoo Lee, Woosuk Choi, Jieun Eom, Maxim Deryabin, Eunsang Lee, Junghyun Lee, Donghoon Yoo, Young-Sik Kim, Jong-Seon No
Publikováno v:
IEEE Access, Vol 10, Pp 30039-30054 (2022)
Fully homomorphic encryption (FHE) is a prospective tool for privacy-preserving machine learning (PPML). Several PPML models have been proposed based on various FHE schemes and approaches. Although FHE schemes are suitable as tools for implementing P
Externí odkaz:
https://doaj.org/article/7652c1326cc04891894b2c703c7cf542
Publikováno v:
IEEE Access, Vol 9, Pp 29253-29269 (2021)
We propose generalized partially information coupled (PIC) polar codes and their construction method. In the proposed codes, each code block (CB) shares systematic information bits partially with J adjacent CBs on each side, where J is referred to as
Externí odkaz:
https://doaj.org/article/d38ff97dbd9f471cb0ade6c18e19427c