Zobrazeno 1 - 10
of 142
pro vyhledávání: '"Jung, Wonkyung"'
Autor:
Brattoli, Biagio, Mostafavi, Mohammad, Lee, Taebum, Jung, Wonkyung, Ryu, Jeongun, Park, Seonwook, Park, Jongchan, Pereira, Sergio, Shin, Seunghwan, Choi, Sangjoon, Kim, Hyojin, Yoo, Donggeun, Ali, Siraj M., Paeng, Kyunghyun, Ock, Chan-Young, Cho, Soo Ick, Kim, Seokhwi
Despite advancements in methodologies, immunohistochemistry (IHC) remains the most utilized ancillary test for histopathologic and companion diagnostics in targeted therapies. However, objective IHC assessment poses challenges. Artificial intelligenc
Externí odkaz:
http://arxiv.org/abs/2407.20643
Autor:
Park, Jaiyoung, Kim, Donghwan, Kim, Jongmin, Kim, Sangpyo, Jung, Wonkyung, Cheon, Jung Hee, Ahn, Jung Ho
Incorporating fully homomorphic encryption (FHE) into the inference process of a convolutional neural network (CNN) draws enormous attention as a viable approach for achieving private inference (PI). FHE allows delegating the entire computation proce
Externí odkaz:
http://arxiv.org/abs/2310.16530
Autor:
Ryu, Jeongun, Puche, Aaron Valero, Shin, JaeWoong, Park, Seonwook, Brattoli, Biagio, Lee, Jinhee, Jung, Wonkyung, Cho, Soo Ick, Paeng, Kyunghyun, Ock, Chan-Young, Yoo, Donggeun, Pereira, Sérgio
Cell detection is a fundamental task in computational pathology that can be used for extracting high-level medical information from whole-slide images. For accurate cell detection, pathologists often zoom out to understand the tissue-level structures
Externí odkaz:
http://arxiv.org/abs/2303.13110
Hybrid private inference (PI) protocol, which synergistically utilizes both multi-party computation (MPC) and homomorphic encryption, is one of the most prominent techniques for PI. However, even the state-of-the-art PI protocols are bottlenecked by
Externí odkaz:
http://arxiv.org/abs/2201.06699
Autor:
Lee, Miseon, Jung, Wonkyung, Kang, Jeongseok, Lee, Keun Ho, Lee, Sung Jong, Hong, Sook Hee, Kang, Jun, Lee, Ahwon
Publikováno v:
In Laboratory Investigation September 2024 104(9)
Autor:
Kim, Sangpyo, Kim, Jongmin, Kim, Michael Jaemin, Jung, Wonkyung, Rhu, Minsoo, Kim, John, Ahn, Jung Ho
Homomorphic encryption (HE) enables the secure offloading of computations to the cloud by providing computation on encrypted data (ciphertexts). HE is based on noisy encryption schemes in which noise accumulates as more computations are applied to th
Externí odkaz:
http://arxiv.org/abs/2112.15479
Homomorphic encryption (HE) draws huge attention as it provides a way of privacy-preserving computations on encrypted messages. Number Theoretic Transform (NTT), a specialized form of Discrete Fourier Transform (DFT) in the finite field of integers,
Externí odkaz:
http://arxiv.org/abs/2012.01968
Autor:
Jung, Wonkyung, Lee, Eojin, Kim, Sangpyo, Lee, Keewoo, Kim, Namhoon, Min, Chohong, Cheon, Jung Hee, Ahn, Jung Ho
Publikováno v:
IEEE Access 2021
Homomorphic Encryption (HE) draws a significant attention as a privacy-preserving way for cloud computing because it allows computation on encrypted messages called ciphertexts. Among numerous HE schemes proposed, HE for Arithmetic of Approximate Num
Externí odkaz:
http://arxiv.org/abs/2003.04510
Batch Normalization (BN) has become a core design block of modern Convolutional Neural Networks (CNNs). A typical modern CNN has a large number of BN layers in its lean and deep architecture. BN requires mean and variance calculations over each mini-
Externí odkaz:
http://arxiv.org/abs/1807.01702
Autor:
Lee, Kyu Sang, Choi, Euno, Cho, Soo Ick, Park, Seonwook, Ryu, Jeongun, Puche, Aaron Valero, Ma, Minuk, Park, Jongchan, Jung, Wonkyung, Ro, Juneyoung, Kim, Sukjun, Park, Gahee, Song, Sanghoon, Ock, Chan‐Young, Choe, Gheeyoung, Park, Jeong Hwan
Publikováno v:
Histopathology; Jul2024, Vol. 85 Issue 1, p81-91, 11p