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Committee Date Time Place Paper Title / Authors Abstract Paper #
EMM 2022-03-07
17:00		 Online (Primary: Online, Secondary: On-site)
(Primary: Online, Secondary: On-site)		 Extention of robust image classification system with Adversarial Example Detectors
Miki Tanaka, Takayuki Osakabe, Hitoshi Kiya (Tokyo Metro. Univ.) EMM2021-105		 In image classification with deep learning, there is a risk that an attacker can intentionally manipulate the prediction... [more] EMM2021-105
pp.76-80
EMM 2022-01-27
13:00		 Online Online Enhancing robustness of image classification system with Adversarial Example Detector
Takayuki Osakabe, Maungmaung Aprilpyone, Hitoshi Kiya (TMU) EMM2021-84		  [more] EMM2021-84
pp.1-6
SIS 2019-12-12
14:55		 Okayama Okayama University of Science Machine learning algorithms with quantized images and their influence
Takayuki Osakabe, Yuma Kinoshita, Hitoshi Kiya (Tokyo Metro.Univ.) SIS2019-27		 Recently, appling quantized images to machine learning algorithms
is expected to enhance robustness against adversarial... [more]		 SIS2019-27
pp.23-28
IBISML 2017-11-10
13:00		 Tokyo Univ. of Tokyo Hierarchical Reinforcement Learning Based on Return-Weighted Density Estimation
Takayuki Osa (UTokyo/RIKEN), Masashi Sugiyama (RIKEN/UTokyo) IBISML2017-67		 We propose a hierarchical reinforcement learning (HRL) methods for learning the optimal policy from a multi-modal reward... [more] IBISML2017-67
pp.243-249
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