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pro vyhledávání: '"KIM, YOUNG SIK"'
Autor:
Choi, Heejoo, Kim, Young-Sik, Kang, Hyukmo, Blomquist, Solvay, Tailor, Hill, Kelly, Douglas, Eiklenborg, Mike, Douglas, Ewan S., Kim, Daewook
Publikováno v:
Proceedings Volume 12677, Astronomical Optics: Design, Manufacture, and Test of Space and Ground Systems IV; 126770F (2023)
The size of the optics used in observatories is often limited by fabrication, metrology, and handling technology, but having a large primary mirror provides significant benefits for scientific research. The evolution of rocket launch options enables
Externí odkaz:
http://arxiv.org/abs/2310.12376
Autor:
Lee, Junghyun, Lee, Eunsang, Kim, Young-Sik, Lee, Yongwoo, Lee, Joon-Woo, Kim, Yongjune, No, Jong-Seon
Recent studies have explored the deployment of privacy-preserving deep neural networks utilizing homomorphic encryption (HE), especially for private inference (PI). Many works have attempted the approximation-aware training (AAT) approach in PI, chan
Externí odkaz:
http://arxiv.org/abs/2310.10349
Modern societies have adopted government-issued fiat currencies many of which exist today mainly in the form of digits in credit and bank accounts. Fiat currencies are controlled by central banks for economic stimulation and stabilization. Boom-and-b
Externí odkaz:
http://arxiv.org/abs/2212.13986
Autor:
Kim, Jiseok, Kang, Jong-Soo, Park, Hyun-Seung, Jeon, Jae-Hyeon, Park, Jee Young, Yeo, Eunbi, Kang, Jung Hwa, Kim, Seung Hyun, Jeong, Do Won, Kim, Young-Sik, Kim, Hocheol, Jang, Woojong, Choi, Goya, Moon, Byeong Cheol, Yang, Tae-Jin
Publikováno v:
In Journal of Applied Research on Medicinal and Aromatic Plants February 2025 44
The min-entropy is a widely used metric to quantify the randomness of generated random numbers, which measures the difficulty of guessing the most likely output. It is difficult to accurately estimate the min-entropy of a non-independent and identica
Externí odkaz:
http://arxiv.org/abs/2112.09376
Publikováno v:
In China Economic Review October 2024 87
Autor:
Lee, Joon-Woo, Kang, HyungChul, Lee, Yongwoo, Choi, Woosuk, Eom, Jieun, Deryabin, Maxim, Lee, Eunsang, Lee, Junghyun, Yoo, Donghoon, Kim, Young-Sik, No, Jong-Seon
Fully homomorphic encryption (FHE) is one of the prospective tools for privacypreserving machine learning (PPML), and several PPML models have been proposed based on various FHE schemes and approaches. Although the FHE schemes are known as suitable t
Externí odkaz:
http://arxiv.org/abs/2106.07229
Homomorphic encryption 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-wise f
Externí odkaz:
http://arxiv.org/abs/2105.10879
The min-entropy is a widely used metric to quantify the randomness of generated random numbers in cryptographic applications; it measures the difficulty of guessing the most likely output. An important min-entropy estimator is the compression estimat
Externí odkaz:
http://arxiv.org/abs/2009.09570
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