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pro vyhledávání: '"Chi, Hua"'
The evaluation of synthetic data generation is crucial, especially in the retail sector where data accuracy is paramount. This paper introduces a comprehensive framework for assessing synthetic retail data, focusing on fidelity, utility, and privacy.
Externí odkaz:
http://arxiv.org/abs/2406.13130
The promise of tabular generative models is to produce realistic synthetic data that can be shared and safely used without dangerous leakage of information from the training set. In evaluating these models, a variety of methods have been proposed to
Externí odkaz:
http://arxiv.org/abs/2406.13012
Autor:
Wang, Chi-Hua, Cheng, Guang
We present BadGD, a unified theoretical framework that exposes the vulnerabilities of gradient descent algorithms through strategic backdoor attacks. Backdoor attacks involve embedding malicious triggers into a training dataset to disrupt the model's
Externí odkaz:
http://arxiv.org/abs/2405.15979
With the proliferation of generative AI and the increasing volume of generative data (also called as synthetic data), assessing the fidelity of generative data has become a critical concern. In this paper, we propose a discriminative approach to esti
Externí odkaz:
http://arxiv.org/abs/2405.15337
Devising procedures for downstream task-oriented generative model selections is an unresolved problem of practical importance. Existing studies focused on the utility of a single family of generative models. They provided limited insights on how synt
Externí odkaz:
http://arxiv.org/abs/2401.00974
Exploring generative model training for synthetic tabular data, specifically in sequential contexts such as credit card transaction data, presents significant challenges. This paper addresses these challenges, focusing on attaining both high fidelity
Externí odkaz:
http://arxiv.org/abs/2401.00965
Autor:
Chen, Hong-Bin, Liu, Cheng-Hua, Lai, Kuan-Lun, Tseng, Bor-Yann, Lo, Ping-Yuan, Chen, Yueh-Nan, Yu, Chi-Hua
To unequivocally distinguish the genuine quantumness from classicality, a widely adopted approach appeals to the negativity within a join quasi-distribution representation as a compelling evidence for the nonclassical essence. However, to construct a
Externí odkaz:
http://arxiv.org/abs/2312.16055
Autor:
Hsiu-Chuan Chen, Chi-Jung Tai, Jing-Yang Huang, Tsu-Ann Kuo, Yuan-Der Huang, Chi-Hua Yen, Meng-Chih Lee
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background The effectiveness of fish oil in preventing cardiovascular events is still debating. Some studies indicate a correlation between the use of fish oil supplements and reduced mortality or decreased incidence of stroke. However, othe
Externí odkaz:
https://doaj.org/article/34813fa967464489a0dac79aa01024a2
Autor:
A. Satyanarayan Naidu, Chin-Kun Wang, Pingfan Rao, Fabrizio Mancini, Roger A. Clemens, Aman Wirakartakusumah, Hui-Fang Chiu, Chi-Hua Yen, Sebastiano Porretta, Issac Mathai, Sreus A. G. Naidu
Publikováno v:
npj Science of Food, Vol 8, Iss 1, Pp 1-48 (2024)
Abstract SARS‐CoV‐2, the etiological agent of COVID-19, is devoid of any metabolic capacity; therefore, it is critical for the viral pathogen to hijack host cellular metabolic machinery for its replication and propagation. This single-stranded RN
Externí odkaz:
https://doaj.org/article/294595615c6e485ca03901475218a0ee