Zobrazeno 1 - 10
of 115
pro vyhledávání: '"Tran Viet, Hung"'
Model Inversion (MI) is a type of privacy violation that focuses on reconstructing private training data through abusive exploitation of machine learning models. To defend against MI attacks, state-of-the-art (SOTA) MI defense methods rely on regular
Externí odkaz:
http://arxiv.org/abs/2409.01062
Recent successes in Generative Adversarial Networks (GAN) have affirmed the importance of using more data in GAN training. Yet it is expensive to collect data in many domains such as medical applications. Data Augmentation (DA) has been applied in th
Externí odkaz:
http://arxiv.org/abs/2006.05338
Akademický článek
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Autor:
Pham, Minh-Nhut, Nguyen-Dung, Phu-Tuong, Nguyen, Thi-Kim-Nga, Tran, Viet-Hung, Phan, Nguyen-Truong-Thang, Do, Thi-Hong-Tuoi, Hoang, Thuy-Linh, Nguyen, Thi-To-Uyen, Nguyen, Phu-Tho, Nguyen, Huu-Thanh
Publikováno v:
In Pharmacological Research - Modern Chinese Medicine December 2023 9
Self-supervised (SS) learning is a powerful approach for representation learning using unlabeled data. Recently, it has been applied to Generative Adversarial Networks (GAN) training. Specifically, SS tasks were proposed to address the catastrophic f
Externí odkaz:
http://arxiv.org/abs/1911.06997
We propose to improve unconditional Generative Adversarial Networks (GAN) by training the self-supervised learning with the adversarial process. In particular, we apply self-supervised learning via the geometric transformation on input images and ass
Externí odkaz:
http://arxiv.org/abs/1905.05469
Autor:
Tran Viet Hung, Ha Minh Hien, Pham Quoc Chinh, Pham Thi Thu Ha, Nguyen Duc Nhu, Nguyen Duc Tuan
Publikováno v:
Pharmaceutical Sciences Asia, Vol 50, Iss 1, Pp 24-33 (2023)
A solid-phase extraction (SPE) followed by gas chromatography-mass spectrometry (GC-MS) method was developed and validated for determination of seven amphetamine-type stimulants (ATSs) including amphetamine (AM), methamphetamine (MA), 3,4-methylenedi
Externí odkaz:
https://doaj.org/article/d73bb044989040de8e3f1b8d20138f8a
Publikováno v:
In Heliyon April 2023 9(4)
Akademický článek
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Autor:
Tran, Viet Hung
The digital telecommunications receiver is an important context for inference methodology, the key objective being to minimize the expected loss function in recovering the transmitted information. For that criterion, the optimal decision is the Bayes
Externí odkaz:
http://arxiv.org/abs/1811.02506