Paper Abstract and Keywords |
Presentation |
2017-11-10 13:00
Estimation of Training Data Distribution from Probabilistic Classifier using Generative Adversarial Networks Kosuke Kusano, Jun Sakuma (Univ. Tsukuba) IBISML2017-76 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Suppose we have a deep classification model $f$ that is trained with private samples that should not be released, but we want to release the model publicly. For example, this situation arises when we want to embed the model into mobile devices that are required to give prediction offline. We show that the training samples are revealed from $f$ (or the underlying sample distribution is estimated) under certain conditions. We call this reverse engineering attack the Classifier-to-Generator (C2G) Attack.
For C2G attack, we introduce a novel GAN, PreImageGAN which estimates the conditional data distribution $P(X|Y=y)$ for any $y$ where $X, Y$ are a random variable of sample and prediction respectively. We demonstrate that the adversary can estimate the training data distribution even if the adversary has no samples with victim label samples. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Security / Privacy / Model Publication / Deep Learning / Generative Adversarial Networks / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 293, IBISML2017-76, pp. 301-308, Nov. 2017. |
Paper # |
IBISML2017-76 |
Date of Issue |
2017-11-02 (IBISML) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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IBISML2017-76 |
Conference Information |
Committee |
IBISML |
Conference Date |
2017-11-08 - 2017-11-10 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Univ. of Tokyo |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Information-Based Induction Science Workshop (IBIS2017) |
Paper Information |
Registration To |
IBISML |
Conference Code |
2017-11-IBISML |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Estimation of Training Data Distribution from Probabilistic Classifier using Generative Adversarial Networks |
Sub Title (in English) |
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Keyword(1) |
Security |
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Privacy |
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Model Publication |
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Deep Learning |
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Generative Adversarial Networks |
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1st Author's Name |
Kosuke Kusano |
1st Author's Affiliation |
University of Tsukuba (Univ. Tsukuba) |
2nd Author's Name |
Jun Sakuma |
2nd Author's Affiliation |
University of Tsukuba (Univ. Tsukuba) |
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Speaker |
Author-1 |
Date Time |
2017-11-10 13:00:00 |
Presentation Time |
150 minutes |
Registration for |
IBISML |
Paper # |
IBISML2017-76 |
Volume (vol) |
vol.117 |
Number (no) |
no.293 |
Page |
pp.301-308 |
#Pages |
8 |
Date of Issue |
2017-11-02 (IBISML) |
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