Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Seira Hidano"'
Autor:
Kento Hasegawa, Kazuki Yamashita, Seira Hidano, Kazuhide Fukushima, Kazuo Hashimoto, Nozomu Togawa
Publikováno v:
IEEE Transactions on Computers. :1-13
In the fourth industrial revolution, securing the protection of the supply chain has become an ever-growing concern. One such cyber threat is a hardware Trojan (HT), a malicious modification to an IC. HTs are often identified in the hardware manufact
Publikováno v:
Proceedings of the 15th International Conference on Agents and Artificial Intelligence.
Publikováno v:
Computational Linguistics and Intelligent Text Processing ISBN: 9783031243363
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e43dc3a0f2aed96df14540719ddf3ec0
https://doi.org/10.1007/978-3-031-24337-0_36
https://doi.org/10.1007/978-3-031-24337-0_36
Publikováno v:
Proceedings of the 9th International Conference on Information Systems Security and Privacy.
Autor:
Kazuki Yamashita, Tomohiro Kato, Kento Hasegawa, Seira Hidano, Kazuhide Fukushima, Nozomu Togawa
Publikováno v:
2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS).
Autor:
Seira Hidano, Shinsaku Kiyomoto, Kazuo Hashimoto, Nozomu Togawa, Kento Hasegawa, Kohei Nozawa
Publikováno v:
Journal of Information Processing. 29:236-246
Video compression plays a crucial role in video streaming and classification systems by maximizing the end-user quality of experience (QoE) at a given bandwidth budget. In this paper, we conduct the first systematic study for adversarial attacks on d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e05d189793ebb95fe34b79397332b7d
http://arxiv.org/abs/2203.10183
http://arxiv.org/abs/2203.10183
Publikováno v:
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.
Hardware Trojans (HTs) have become a serious problem, and extermination of them is strongly required for enhancing the security and safety of integrated circuits. An effective solution is to identify HTs at the gate level via machine learning techniq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef858dbff7b4e61b7e71c88b3d1777e2
Publikováno v:
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.