Zobrazeno 1 - 10
of 147
pro vyhledávání: '"Sung, Andrew H."'
Modern computer systems store vast amounts of personal data, enabling advances in AI and ML but risking user privacy and trust. For privacy reasons, it is desired sometimes for an ML model to forget part of the data it was trained on. This paper pres
Externí odkaz:
http://arxiv.org/abs/2410.22374
This article presents a new machine unlearning approach that utilizes multiple Generative Adversarial Network (GAN) based models. The proposed method comprises two phases: i) data reorganization in which synthetic data using the GAN model is introduc
Externí odkaz:
http://arxiv.org/abs/2407.18467
Machine learning (ML) models trained on subjective self-report scores struggle to objectively classify pain accurately due to the significant variance between real-time pain experiences and recorded scores afterwards. This study developed two devices
Externí odkaz:
http://arxiv.org/abs/2308.00886
Publikováno v:
6th International Conference on Enterprise Information Systems, ICEIS'04, Portugal, I. Seruca, J. Filipe, S. Hammoudi and J. Cordeiro (Eds.), ISBN 972-8865-00-7, Vol. 3, pp. 26-33, 2004
Past few years have witnessed a growing recognition of intelligent techniques for the construction of efficient and reliable intrusion detection systems. Due to increasing incidents of cyber attacks, building effective intrusion detection systems (ID
Externí odkaz:
http://arxiv.org/abs/cs/0405016
Publikováno v:
In Information Sciences 10 May 2013 231:123-134
Akademický článek
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Publikováno v:
In Information Sciences 2010 180(9):1643-1655
Image complexity and feature mining for steganalysis of least significant bit matching steganography
Autor:
Liu, Qingzhong, Sung, Andrew H., Ribeiro, Bernardete, Wei, Mingzhen, Chen, Zhongxue, Xu, Jianyun
Publikováno v:
In Information Sciences 2008 178(1):21-36
Publikováno v:
In Applied Soft Computing Journal 2007 7(3):631-641
Autor:
Wei, Mingzhen, Bai, Baojun, Sung, Andrew H., Liu, Qingzhong, Wang, Jiachun, Cather, Martha E.
Publikováno v:
In Information Sciences 2007 177(20):4445-4461