Zobrazeno 1 - 10
of 536
pro vyhledávání: '"Tsai, Yu Lin"'
Autor:
Tsai, Yu-Lin, Li, Yizhe, Chen, Zekai, Chen, Po-Yu, Yu, Chia-Mu, Ren, Xuebin, Buet-Golfouse, Francois
The integration of Differential Privacy (DP) with diffusion models (DMs) presents a promising yet challenging frontier, particularly due to the substantial memorization capabilities of DMs that pose significant privacy risks. Differential privacy off
Externí odkaz:
http://arxiv.org/abs/2406.01355
While large language models (LLMs) such as Llama-2 or GPT-4 have shown impressive zero-shot performance, fine-tuning is still necessary to enhance their performance for customized datasets, domain-specific tasks, or other private needs. However, fine
Externí odkaz:
http://arxiv.org/abs/2405.16833
Autor:
Tsai, Yu-Lin, Hsu, Chia-Yi, Xie, Chulin, Lin, Chih-Hsun, Chen, Jia-You, Li, Bo, Chen, Pin-Yu, Yu, Chia-Mu, Huang, Chun-Ying
Diffusion models for text-to-image (T2I) synthesis, such as Stable Diffusion (SD), have recently demonstrated exceptional capabilities for generating high-quality content. However, this progress has raised several concerns of potential misuse, partic
Externí odkaz:
http://arxiv.org/abs/2310.10012
Visual Prompting (VP) is an emerging and powerful technique that allows sample-efficient adaptation to downstream tasks by engineering a well-trained frozen source model. In this work, we explore the benefits of VP in constructing compelling neural n
Externí odkaz:
http://arxiv.org/abs/2303.12247
Autor:
Tsai-Yu Lin, Shin-Yuan Gu, Yi-Hui Lin, Jou-Ho Shih, Jiun-Han Lin, Teh-Ying Chou, Yu-Ching Lee, Shwu-Fen Chang, Yaw-Dong Lang
Publikováno v:
Biomedicine & Pharmacotherapy, Vol 180, Iss , Pp 117452- (2024)
Ovarian clear cell carcinoma (OCCC) frequently develops resistance to platinum-based therapies, which is regarded as an aggressive subtype. However, metabolic changes in paclitaxel resistance remain unclear. Herein, we present the metabolic alternati
Externí odkaz:
https://doaj.org/article/81b372a2d23747c68a7df1c214213acd
Autor:
Huang, Jhih-Cing, Tsai, Yu-Lin, Yang, Chao-Han Huck, Su, Cheng-Fang, Yu, Chia-Mu, Chen, Pin-Yu, Kuo, Sy-Yen
Recently, quantum classifiers have been found to be vulnerable to adversarial attacks, in which quantum classifiers are deceived by imperceptible noises, leading to misclassification. In this paper, we propose the first theoretical study demonstratin
Externí odkaz:
http://arxiv.org/abs/2211.00887
Studying the sensitivity of weight perturbation in neural networks and its impacts on model performance, including generalization and robustness, is an active research topic due to its implications on a wide range of machine learning tasks such as mo
Externí odkaz:
http://arxiv.org/abs/2103.02200
Publikováno v:
ICASSP 2021
Adversarial robustness has become an emerging challenge for neural network owing to its over-sensitivity to small input perturbations. While being critical, we argue that solving this singular issue alone fails to provide a comprehensive robustness a
Externí odkaz:
http://arxiv.org/abs/2102.11935
Autor:
Chung-Kai Chang, Ting-Rong Ko, Tsai-Yu Lin, Yen-Chun Lin, Hyun Jung Yu, Jong Suk Lee, Yi-Pei Li, Heng-Liang Wu, Dun-Yen Kang
Publikováno v:
Communications Chemistry, Vol 6, Iss 1, Pp 1-12 (2023)
Abstract Structural flexibility is a critical issue that limits the application of metal-organic framework (MOF) membranes for gas separation. Herein we propose a mixed-linker approach to suppress the structural flexibility of the CAU-10-based (CAU =
Externí odkaz:
https://doaj.org/article/d92115d243094d128ad60e837d1c84e3
Autor:
Yu-Ching Lee, Gar-Hwa Lai, Tsai-Yu Lin, Tien-Sheng Tseng, Tsung-Hsun Tsai, Wang-Chuan Chen, Cheng-Chung Lee, Keng-Chang Tsai
Publikováno v:
Journal of Biological Engineering, Vol 17, Iss 1, Pp 1-11 (2023)
Abstract Background The main commercially available methods for detecting small molecules of mycotoxins in traditional Chinese medicine (TCM) and functional foods are enzyme-linked immunosorbent assay and mass spectrometry. Regarding the development
Externí odkaz:
https://doaj.org/article/f49585e03dca4a7ba2e94b7728aa88ba