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pro vyhledávání: '"Thang, Dang Duy"'
Autor:
Thang, Dang Duy, Matsui, Toshihiro
Publikováno v:
Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 1, 2020
The superiority of deep learning performance is threatened by safety issues for itself. Recent findings have shown that deep learning systems are very weak to adversarial examples, an attack form that was altered by the attacker's intent to deceive t
Externí odkaz:
http://arxiv.org/abs/2003.02750
Autor:
Thang, Dang Duy, Matsui, Toshihiro
Deep neural networks are being applied in many tasks with encouraging results, and have often reached human-level performance. However, deep neural networks are vulnerable to well-designed input samples called adversarial examples. In particular, neu
Externí odkaz:
http://arxiv.org/abs/1908.01469
Autor:
Thang, Dang Duy, Matsui, Toshihiro
Neural networks are being applied in many tasks related to IoT with encouraging results. For example, neural networks can precisely detect human, objects and animal via surveillance camera for security purpose. However, neural networks have been rece
Externí odkaz:
http://arxiv.org/abs/1901.03037
Publikováno v:
2012 Fourth International Conference on Knowledge & Systems Engineering; 1/ 1/2012, p121-127, 7p