[image 04192] IEEE SPS Distinguished Lecturer 講演会のご案内(Prof. Andrea Cavallaro, Queen Mary University of London, UK)
Yuichi Tanaka
ytnk @ cc.tuat.ac.jp
2020年 12月 8日 (火) 15:14:24 JST
image-ML の皆さま,
IEEE SPS Tokyo Joint Chapter Secretary の田中雄一(農工大)です.IEEE SPS Tokyo
Joint/Kansai/Sendai Chapters 主催で,IEEE SPS Distinguished Lecturer の Prof. Andrea
Cavallaro (Queen Mary University of London, UK) による講演会を,以下の通り行います.
多くの皆さんのご参加をお待ちしております.
記
日 時:2020年12月10日(木) 18:00~19:00
場 所:オンライン開催(Zoomウェビナーを用いたビデオ会議形式)
以下のリンクにて参加登録をいただければ,講演会参加のための
Zoomウェビナーリンクをご取得いただけます.
https://zoom.us/webinar/register/WN__ufBh5oHTa-2SXWG2kZkag
演 題:Adversarial attacks on image classifiers
講 師:Prof. Andrea Cavallaro (Queen Mary University of London, UK)
言 語:英語
講演概要:
Images we share online reveal information about personal choices and
preferences, which can be inferred by classifiers. To prevent privacy
violations and to protect the visual content from unwanted automatic
inferences, I discuss how to exploit the vulnerability of classifiers to
adversarial attacks to craft perturbations that maintain (and even
improve) image quality. As adversarial perturbations designed to protect
visual content against classifiers may be ineffective against
classifiers that were not seen during the generation of the perturbation
or against defences that use re-quantization or image compression, I
will discuss how to craft perturbations based on randomised ensembles to
make them robust to defences, on image semantics to selectively modify
colours within chosen ranges that are perceived as natural by humans,
and on perturbations that enhance image details.
主 催:IEEE SPS Tokyo Joint/Kansai/Sendai Chapters
参加費:無料
問い合わせ先:IEEE SPS Tokyo Joint Chapter Treasurer
戸田智基(名古屋大学)
E-Mail:tomoki @ icts.nagoya-u.ac.jp
講師略歴:
Andrea Cavallaro is Professor of Multimedia Signal Processing and the
founding Director of the Centre for Intelligent Sensing at Queen Mary
University of London, UK. He is Fellow of the International Association
for Pattern Recognition (IAPR) and Turing Fellow at the Alan Turing
Institute, the UK National Institute for Data Science and Artificial
Intelligence. He is Editor-in-Chief of Signal Processing: Image
Communication; Chair of the IEEE Image, Video, and Multidimensional
Signal Processing Technical Committee; an IEEE Signal Processing Society
Distinguished Lecturer; an elected member of the IEEE Video Signal
Processing and Communication Technical Committee; and a Senior Area
Editor for the IEEE Transactions on Image Processing.
Prof. Cavallaro received his Ph.D. in Electrical Engineering from the
Swiss Federal Institute of Technology (EPFL), Lausanne, in 2002. He was
a Research Fellow with British Telecommunications (BT) in 2004/2005 and
was awarded the Royal Academy of Engineering Teaching Prize in 2007;
three student paper awards on target tracking and perceptually sensitive
coding at IEEE ICASSP in 2005, 2007 and 2009; and the best paper award
at IEEE AVSS 2009. He is a past Area Editor for the IEEE Signal
Processing Magazine (2012-2014) and past Associate Editor for the IEEE
Transactions on Image Processing (2011-2015), IEEE Transactions on
Signal Processing (2009-2011), IEEE Transactions on Multimedia
(2009-2010), IEEE Signal Processing Magazine (2008-2011) and IEEE
Multimedia. He is a past elected member of the IEEE Multimedia Signal
Processing Technical Committee and past chair of the Awards committee of
the IEEE Signal Processing Society, Image, Video, and Multidimensional
Signal Processing Technical Committee. Prof. Cavallaro has published
over 270 journal and conference papers, one monograph on Video tracking
(2011, Wiley) and three edited books: Multi-camera networks (2009,
Elsevier); Analysis, retrieval and delivery of multimedia content (2012,
Springer); and Intelligent multimedia surveillance (2013, Springer).
--
Yuichi Tanaka, Ph.D.
Associate Professor, Tokyo University of Agriculture and Technology
PRESTO Researcher, Japan Science and Technology Agency
2-24-16 Naka-cho, Koganei, Tokyo, 184-8588 JAPAN
Phone: +81 42 388 7150
Email: ytnk @ cc.tuat.ac.jp, tanaka @ msp-lab.org
URL: http://tanaka.msp-lab.org
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