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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
EMM, IT |
2021-05-21 13:10 |
Online |
Online |
A Study of Detecting Adversarial Examples Using Sensitivities to Multiple Auto Encoders Yuma Yamasaki, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.), Huy Hong Nguyen, Isao Echizen (NII) IT2021-11 EMM2021-11 |
By removing the small perturbations involved in adversarial examples, the image classification result returns to the cor... [more] |
IT2021-11 EMM2021-11 pp.60-65 |
EMM |
2021-03-04 14:15 |
Online |
Online |
[Poster Presentation]
Detection of Adversarial Examples in CNN Image Classifiers Using Features Extracted with Multiple Strengths of Filter Akinori Higashi, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.), Huy Hong Nguyen, Isao Echizen (NII) EMM2020-70 |
Deep learning has been used as a new method for machine learning, and its performance has been significantly improved. A... [more] |
EMM2020-70 pp.19-24 |
EMM |
2020-03-05 16:45 |
Okinawa |
(Cancelled but technical report was issued) |
[Poster Presentation]
Detecting Adversarial Examples Based on Sensitivities to Lossy Compression Algorithms Akinori Higashi, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.), Huy Hong Nguyen, Isao Echizen (NII) EMM2019-123 |
The adversarial examples are created by adding small perturbations to an input image for misleading an CNN-based image c... [more] |
EMM2019-123 pp.113-116 |
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