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Committee Date Time Place Paper Title / Authors Abstract Paper #
HWS, VLD 2019-03-01
15:45		 Okinawa Okinawa Ken Seinen Kaikan On Machine Learning Attack Tolerance for PUF-based Device Authentication System
Tomoki Iizuka (UTokyo), Yasuhiro Ogasahara, Toshihiro Katashita, Yohei Hori (AIST), Hiromitsu Awano (Osaka Univ.), Makoto Ikeda (UTokyo) VLD2018-133 HWS2018-96		 Double-Arbiter PUF (DAPUF) and PL-PUF are known to be highly resistant to machine learning attacks.
In this paper, we p... [more]		 VLD2018-133 HWS2018-96
pp.237-242
HWS
(2nd)		 2018-12-13
16:10		 Tokyo Tokyo Univ. Takeda Bldg. Takeda Hall [Poster Presentation] Modeling Attacks on Double-Arbiter PUF Using End-to-End Deep Neural Network
Tomoki Iizuka, Hiromitsu Awano, Makoto Ikeda (UTokyo) 		(Advance abstract in Japanese is available) [more]
VLD, HWS
(Joint)		 2018-03-02
14:30		 Okinawa Okinawa Seinen Kaikan Modeling Attacks on Double-Arbiter PUF Using Deep Neural Network
Tomoki Iizuka, Hiromitsu Awano, Makoto Ikeda (UTokyo) VLD2017-127		 A deep neural network-based modeling attack for Double-Arbiter PUF (DAPUF) is proposed. Although DAPUF is known to be hi... [more] VLD2017-127
pp.231-236
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