Yen-Ting Kuo

Estimating the Cost of Partial Key Exposure Attacks on ML-KEM and ML-DSA

Yen-Ting Kuo, Atsushi Takayasu

jp (code pays fourni par la source)

Improving Correlation Power Analysis on Masked CRYSTALS-Kyber with Lattice Attack

Yen-Ting Kuo, Atsushi Takayasu

jp (code pays fourni par la source)

Exploring Automated Frequency Coordination System for 6 GHz Wi-Fi in Taiwan

Ping-Luen Ho, Lin Lee, Yen-Ting Kuo, Cheng-Chih Chien et autres

Federal Communications Commission (FCC) opens the usage of the 6 GHz frequency band for Wi-Fi to accommodate the growing service demands. To better coordinate the licensed services, the Automatic Frequency Coordination (AFC) system is developed so that Wi-Fi can utilize the available …

tw (code pays fourni par la source)

A Lattice Attack on CRYSTALS-Kyber with Correlation Power Analysis

Yen-Ting Kuo, Atsushi Takayasu

jp (code pays fourni par la source)

Electroactive membrane fusion-liposome for increased electron transfer to enhance radiodynamic therapy

Ying‐Chi Chen, Yiting Li, Chin‐Lai Lee, Yen-Ting Kuo et autres

tw, jp (code pays fourni par la source)

Secure Boolean Masking of Gimli

Tzu-Hsien Chang, Yen-Ting Kuo, Jiun-Peng Chen, Bo‐Yin Yang

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Minimum Operating Voltage Prediction in Production Test Using Accumulative Learning

Yen-Ting Kuo, Wei-Chen Lin, Chun Chen, Chao-Ho Hsieh et autres

We propose a new methodology to predict minimum operating voltage (Vmin) for production chips. In addition, we propose two new key features to improve the prediction accuracy. Our proposed accumulative learning can reduce the impact of lot-to-lot variations. Experimental results on two …

tw (code pays fourni par la source)

Chip Performance Prediction Using Machine Learning Techniques

Min-Yan Su, W. W. Lin, Yen-Ting Kuo, Chien-Mo Li et autres

Process variation cause a big variation on chip performance, so we need to apply expensive functional test to do the speed binning. In this work, we propose a machine learning-based chip performance prediction framework. We only consider on-chip ring oscillator's frequency as …

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MINING SURPRISING PATTERNS AND THEIR EXPLANATIONS IN CLINICAL DATA

Yen-Ting Kuo, Andrew J. Lonie, Adrian R. Pearce, Liz Sonenberg

□ We present a new technique for interactively mining patterns and generating explanations by harnessing the expertise of domain experts. Key to the approach is the distinction between what is unexpected from the perspective of the computational data mining process and what …

au (code pays fourni par la source)

The Innovated Flexible Surface Acoustic Wave Devices on Fully InkJet Printing Technology

Cha’o-Kuang Chen, David T.W. Lin, Yung‐Der Juang, Yuh‐Chung Hu et autres

An innovated fabricated process of the flexible surface acoustic wave (SAW) device is proposed in this study. Fully inkjet printing and sol-gel technology are used in this fabricated process. The flexible SAW device is composed of a ZnO layer sandwiched in between …

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Mining surprising patterns

Yen-Ting Kuo

© 2009 Dr. Yen-Ting Kuo

Finding Explanations for Assisting Pattern Interpretation

Yen-Ting Kuo, Liz Sonenberg, Andrew J. Lonie

We present a novel approach for assisting pattern interpretation by data mining end-users: finding explanations for association rules based on probabilistic dependencies. In the approach, relevant variables are selected from rules and from other data sources to facilitate human-understandable interpretations. An explanation …

au (code pays fourni par la source)