Information: Join today and make your research activities more affordable! Technical workshop participation fees and annual registration fees are available at member rates.
Notice: [Important] Announcement of Changes to Registration Fee Payment and Manuscript Upload Procedures for IEICE Technical Meetings
IEICE Technical Committee Submission System
Conference Paper's Information		 Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2023-09-08 09:00
Demonstrating Data Poisoning Attacks on Machine Learning Models with Multi-Sensor Inputs
Shyam Maisuria, Yuichi Ohsita, Masayuki Murata (Osaka Univ.) IN2023-31
Abstract (in Japanese) (See Japanese page) 
(in English) Data poisoning attacks pose a significant threat to the integrity and reliability of machine learning models. These attacks exploit the vulnerabilities in the training data to manipulate the learning process, leading to biased models and compromised predictions. An adversary can hack part of these sensor devices and inject malicious points in the training dataset to influence the learning process and degrade the algorithm's performance. This paper presents a comprehensive analysis of data poisoning attacks using input data from multiple sensors devices.
Keyword (in Japanese) (See Japanese page) 
(in English) Data Poisoning / Hacked Sensors / Deep Neural Networks / Multiple Sensors / Adversarial machine learning / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 178, IN2023-31, pp. 8-13, Sept. 2023.
Paper # IN2023-31 
Date of Issue 2023-08-31 (IN) 
ISSN 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)
Download PDF IN2023-31

Conference Information
Committee NS IN CS NV  
Conference Date 2023-09-07 - 2023-09-08 
Place (in Japanese) (See Japanese page) 
Place (in English) Tohoku University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Session management (SIP/IMS), Interoperability/Standardization, NGN/NwGN/Future networks, Cloud/Data center networks, SDN (OpenFlow, etc.)/NFV, IPv6, Machine learning, etc. 
Paper Information
Registration To IN 
Conference Code 2023-09-NS-IN-CS-NV 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Demonstrating Data Poisoning Attacks on Machine Learning Models with Multi-Sensor Inputs 
Sub Title (in English)  
Keyword(1) Data Poisoning  
Keyword(2) Hacked Sensors  
Keyword(3) Deep Neural Networks  
Keyword(4) Multiple Sensors  
Keyword(5) Adversarial machine learning  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Shyam Maisuria  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Yuichi Ohsita  
2nd Author's Affiliation Osaka University (Osaka Univ.)
3rd Author's Name Masayuki Murata  
3rd Author's Affiliation Osaka University (Osaka Univ.)
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
21st Author's Name  
21st Author's Affiliation ()
22nd Author's Name  
22nd Author's Affiliation ()
23rd Author's Name  
23rd Author's Affiliation ()
24th Author's Name  
24th Author's Affiliation ()
25th Author's Name  
25th Author's Affiliation ()
26th Author's Name / /
26th Author's Affiliation ()
()
27th Author's Name / /
27th Author's Affiliation ()
()
28th Author's Name / /
28th Author's Affiliation ()
()
29th Author's Name / /
29th Author's Affiliation ()
()
30th Author's Name / /
30th Author's Affiliation ()
()
31st Author's Name / /
31st Author's Affiliation ()
()
32nd Author's Name / /
32nd Author's Affiliation ()
()
33rd Author's Name / /
33rd Author's Affiliation ()
()
34th Author's Name / /
34th Author's Affiliation ()
()
35th Author's Name / /
35th Author's Affiliation ()
()
36th Author's Name / /
36th Author's Affiliation ()
()
Speaker Author-1 
Date Time 2023-09-08 09:00:00 
Presentation Time 25 minutes 
Registration for IN 
Paper # IN2023-31 
Volume (vol) vol.123 
Number (no) no.178 
Page pp.8-13 
#Pages 6 
Date of Issue 2023-08-31 (IN) 

[Return to Top Page]

[Return to IEICE Web Page]
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan