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Akademický článek

Evaluation of Model Quantization Method on Vitis-AI for Mitigating Adversarial Examples

Autor: Yuta Fukuda, Kota Yoshida, Takeshi Fujino

Publikováno v: IEEE Access, Vol 11, Pp 87200-87209 (2023)

Adversarial examples (AEs) are typical model evasion attacks and security threats in deep neural networks (DNNs). One of the countermeasures is adversarial training (AT), and it trains DNNs by using a training dataset containing AEs to achieve robust

Externí odkaz: https://doaj.org/article/53ede4f9046a490c867489617616f5ab

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Akademický článek

Effect of Reduction in Thickness and Rolling Conditions on Mechanical Properties and Microstructure of Rolled Mg-8Al-1Zn-1Ca Alloy

Autor: Yuta Fukuda, Masafumi Noda, Tomomi Ito, Kazutaka Suzuki, Naobumi Saito, Yasumasa Chino

Publikováno v: Advances in Materials Science and Engineering, Vol 2017 (2017)

A cast Mg-8Al-1Zn-1Ca magnesium alloy was multipass hot rolled at different sample and roll temperatures. The effect of the rolling conditions and reduction in thickness on the microstructure and mechanical properties was investigated. The optimal co

Externí odkaz: https://doaj.org/article/7d0cca42e20a4eae9975c6bf107b70e8

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