Zobrazeno 1 - 10
of 215
pro vyhledávání: '"Yier Jin"'
Autor:
Yang Li, Yanlei Kong, Mark H. Ebell, Leonardo Martinez, Xinyan Cai, Robert P. Lennon, Derjung M. Tarn, Arch G. Mainous, Aleksandra E. Zgierska, Bruce Barrett, Wen-Jan Tuan, Kevin Maloy, Munish Goyal, Alex H. Krist, Tamas S. Gal, Meng-Hsuan Sung, Changwei Li, Yier Jin, Ye Shen
Publikováno v:
Frontiers in Medicine, Vol 9 (2022)
ObjectivesAn accurate prognostic score to predict mortality for adults with COVID-19 infection is needed to understand who would benefit most from hospitalizations and more intensive support and care. We aimed to develop and validate a two-step score
Externí odkaz:
https://doaj.org/article/a55ce05cea374954872b126ca21103bb
Autor:
Ali Sayghe, Yaodan Hu, Ioannis Zografopoulos, XiaoRui Liu, Raj Gautam Dutta, Yier Jin, Charalambos Konstantinou
Publikováno v:
IET Smart Grid (2020)
Over the last decade, the number of cyber attacks targeting power systems and causing physical and economic damages has increased rapidly. Among them, false data injection attacks (FDIAs) are a class of cyber-attacks against power grid monitoring sys
Externí odkaz:
https://doaj.org/article/3f6b7f560d0243d1aa1f5935ba4a25a9
Publikováno v:
Micromachines, Vol 12, Iss 8, p 898 (2021)
Dynamic information flow tracking (DIFT) has been proven an effective technique to track data usage; prevent control data attacks and non-control data attacks at runtime; and analyze program performance. Therefore, a series of DIFT techniques have be
Externí odkaz:
https://doaj.org/article/804b9b1890f74a858d03df3f1a52dcc6
Publikováno v:
IEEE Transactions on Information Forensics and Security. 18:1365-1379
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 42:68-81
Publikováno v:
IEEE Transactions on Emerging Topics in Computing. :1-14
Autor:
Peng Chen, Cheng-Xin Xue, Yier Jin, Yi-Chun Shih, Chieh-Pu Lo, Chun-Ying Lee, Je-Min Hung, Hsiao-Yu Huang, Ssu-Yen Wu, Meng-Fan Chang, Yu-Der Chih, Shih-Hsih Teng, Tsung-Yung Jonathan Chang, Kuang-Tang Chang, Hui-Yao Kao, Yen-Cheng Chiu, Tung-Cheng Chang
Publikováno v:
IEEE Journal of Solid-State Circuits. 57:1936-1949
Dual-Leak: Deep Unsupervised Active Learning for Cross-Device Profiled Side-Channel Leakage Analysis
Publikováno v:
2023 IEEE International Symposium on Hardware Oriented Security and Trust (HOST).
Publikováno v:
2023 24th International Symposium on Quality Electronic Design (ISQED).
Publikováno v:
ACM Journal on Emerging Technologies in Computing Systems. 18:1-20
Side Channel Analysis (SCA) presents a clear threat to privacy and security in modern computing systems. The vast majority of communications are secured through cryptographic algorithms. These algorithms are often provably-secure from a cryptographic