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All Technical Committee Conferences  (Searched in: Recent 10 Years)

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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 74  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IN, NS
(Joint)
2025-03-06
11:10
Okinawa Okinawa Industry Support Center (Okinawa) A P2P-based watch-over support system with privacy protection mechanism using Bloom Filter
Yuki Matsumoto, Akihiro Huzimoto (Wakayama Univ.), Hideki Tode (Osaka Metropolitan Univ.)
(To be available after the conference date) [more]
ICSS, IPSJ-SPT 2025-03-06
16:20
Okinawa Okinawa Prefectural Museum & Art Museum (Okinawa) Feasibility Study on Machine Learning Applications for Privacy-Protected Image Data
Tomoshi Yagishita (Osaka Univ.), Pierre Boudvillain (IMT Nord Europe), Yuki Hyohdoh (Kochi University), Atsuko Miyaji (Osaka Univ.)
(To be available after the conference date) [more]
MVE, CQ, IMQ, IE
(Joint) [detail]
2025-03-06
09:50
Okinawa (Okinawa, Online)
(Primary: On-site, Secondary: Online)
Noise Addition Techniques to Feature Vectors for Privacy Protection in Face Recognition Systems
Satoru Matsumoto (Osaka Univ), Yoshihisa Tomoki (Shiga Univ), Kenji Ohira, Hideyuki Shimonishi (Osaka Univ)
(To be available after the conference date) [more]
EA, SIP, SP, IPSJ-SLP [detail] 2025-03-03
11:20
Okinawa (Okinawa) [Poster Presentation] An Extension of Privacy-Preserving FedSGD Federated Learning with Random Binary Weights to FedAvg Federated Learning
Hiroto Sawada, Shoko Imaizumi (Chiba Univ.), Hitoshi Kiya (Tokyo Metropolitan Univ.)
(To be available after the conference date) [more]
RISING
(3rd)
2024-11-12
10:15
Hokkaido Kaderu 2・7 (Sapporo) (Hokkaido) [Poster Presentation] Investigation on Lightweight Privacy Protection Methods in Split Computing Using CNNs
Yuya Okada, Takayuki Nishio (Science Tokyo)
Split Computing is a technique that partitions neural network inference between a client device and a server, where the ... [more]
MIKA
(3rd)
2024-10-28
15:40
Okayama Okayama Convention Center (Okayama) [Poster Presentation] Flight Path Selection Considering Privacy Protection of Destination for Drone Delivery
Hayato Taniguchi, Tomotaka Kimura, Cheng Jun (Doshisha Univ.)
In this presentation, we consider flight path selection to protect the privacy of a destination for drone delivery. In d... [more]
ET 2024-10-12
14:55
Hokkaido National Insititute of Technology, Hakodate College (Hokkaido) A study of At-risk Student Detection based on Federated Learning
Shunsuke Yoneda, Fumiya Okubo, Tsubasa Minematsu (Kyushu Univ.), Daisuke Deguchi (Nagoya Univ.), Atsushi Shimada (Kyushu Univ.) ET2024-34
By using federated learning, it is possible to utilize a large amount of data while protecting privacy. In this study, w... [more] ET2024-34
pp.49-54
KBSE, SS, IPSJ-SE [detail] 2024-07-25
14:00
Hokkaido (Hokkaido, Online)
(Primary: On-site, Secondary: Online)
Privacy protection of training datasets in CNN transfer learning models
Takumi Katsuie, Kozo Okano, Shinpei Ogata (Shinshu Univ.), Shin Nakajima (NII) SS2024-1 KBSE2024-7
Transfer learning, one of the machine learning methods, has attracted attention as a technique that can create highly ac... [more] SS2024-1 KBSE2024-7
pp.1-6
KBSE, SS, IPSJ-SE [detail] 2024-07-26
15:00
Hokkaido (Hokkaido, Online)
(Primary: On-site, Secondary: Online)
A Spatio-Temporal Data Protection Method Considering Trade-offs between Privacy and Service Quality
Yuki Wakita, Hiroyuki Seki (Nagoya U.) SS2024-8 KBSE2024-14
This research aims at a spatio-temporal data protection method that considers
a better trade-off between privacy prote... [more]
SS2024-8 KBSE2024-14
pp.43-48
EMM, BioX, ISEC, SITE, ICSS, HWS, IPSJ-CSEC, IPSJ-SPT [detail] 2024-07-22
17:55
Hokkaido Sapporo Convention Center (Hokkaido) A Study of the Japanese Version of the Security Clearance System, or Suitability Assessment System -- From a Supply Chain Security Perspective --
Yusuke Tachibana (FIT) ISEC2024-45 SITE2024-42 BioX2024-55 HWS2024-45 ICSS2024-49 EMM2024-51
This paper examines the so-called "Japanese version of the security clearance (suitability assessment) system". This sys... [more] ISEC2024-45 SITE2024-42 BioX2024-55 HWS2024-45 ICSS2024-49 EMM2024-51
pp.243-246
LOIS, IPSJ-DC 2024-07-11
13:50
Hyogo Mikage Kokaido (Hyogo) LOIS2024-3 Domain names, indispensable for web access and other internet communications, can also be used to direct users to phishi... [more] LOIS2024-3
pp.13-18
ITE-ME, ITE-IST, BioX, SIP, MI, IE [detail] 2024-06-06
13:20
Niigata Nigata University (Ekinan-Campus "TOKIMATE") (Niigata) Enhanced Security with Random Binary Weights for Privacy-Preserving Federated Learning
Hiroto Sawada, Shoko Imaizumi (Chiba Univ.), Hitoshi Kiya (TMU) SIP2024-1 BioX2024-1 IE2024-1 MI2024-1
In this paper, we propose a novel method for enhancing security in privacy-preserving federated learning under the use o... [more] SIP2024-1 BioX2024-1 IE2024-1 MI2024-1
pp.1-6
ICSS, IPSJ-SPT 2024-03-21
14:55
Okinawa OIST (Okinawa, Online)
(Primary: On-site, Secondary: Online)
An Examination of Privacy-Aware Malicious Activity Detection Methods Using NII-SOCS Benchmark Data
Takeshi Ogawa (Nagoya Univ.), Hirokazu Hasegawa (NII), Yukiko Yamaguchi, Hajime Shimada (Nagoya Univ.) ICSS2023-81
Detection of malicious communications from communication logs may pose a risk of privacy infringement as it requires mon... [more] ICSS2023-81
pp.87-92
RCC, ISEC, IT, WBS 2024-03-13
- 2024-03-14
Osaka Osaka Univ. (Suita Campus) (Osaka) Data processing methods for high-performance Privacy-Preserving Machine Learning
Tatsuhiro Yamatsuki (Osaka Univ.), Atsuko Miyaji (Osaka Univ./JAIST) IT2023-94 ISEC2023-93 WBS2023-82 RCC2023-76
Currently, attempts are being made in various fields to solve problems by utilizing big data. However, privacy protectio... [more] IT2023-94 ISEC2023-93 WBS2023-82 RCC2023-76
pp.118-126
CNR, BioX 2024-02-29
15:00
Tokyo NHK Science & Technology Research Laboratories (Tokyo, Online)
(Primary: On-site, Secondary: Online)
Implementation and Evaluation of Privacy-Preserving Image Transformation Methods for Person Re-identification
Junpei Yamaguchi, Hajime Nada, Yumo Ouchi, Narishige Abe (Fujitsu) BioX2023-73 CNR2023-40
Advances in machine learning have enabled high-accuracy tracking of individuals using surveillance cameras, making the d... [more] BioX2023-73 CNR2023-40
pp.18-23
NS, IN
(Joint)
2024-02-29
10:45
Okinawa Okinawa Convention Center (Okinawa) A privacy protection mechanism using Bloom Filter for a P2P-based tracking system watching over children
Yuki Matsumoto, Akihiro Fujimoto (Wakayama Univ), Hideki Tode (Osaka Metropolitan Univ) NS2023-193
With the increase in the number of single-parent and elderly-only families, as well as changes in work patterns such as ... [more] NS2023-193
pp.125-130
EMM 2024-01-16
15:25
Miyagi Tohoku Univ. (Miyagi, Online)
(Primary: On-site, Secondary: Online)
[Invited Talk] Federated Learning with Enhanced Privacy Protection in AI
Lihua Wang (NICT) EMM2023-83
Federated learning is a crucial methodology in artificial intelligence where multiple organizations collaborate to perfo... [more] EMM2023-83
p.19
RISING
(3rd)
2023-10-31
10:45
Hokkaido Kaderu 2・7 (Sapporo) (Hokkaido) [Poster Presentation] Performance Analysis of Cognitive Radio Networks With Location Privacy Preservation
Ryutaro Kobuchi (Osaka Univ.), Tatsuaki Kimura (Doshisha Univ.), Tetsuya Takine (Osaka Univ.)
With the rapid increase in demand for wireless communication services, dynamic spectrum sharing in cognitive radio netwo... [more]
NS 2023-10-06
15:20
Hokkaido Hokkaidou University + Online (Hokkaido, Online)
(Primary: On-site, Secondary: Online)
Incentive Mechanism Considering Heterogeneous Privacy Demand Level in Federated Learning with Differential Privacy
Shota Miyagoshi, Takuji Tachibana (Univ. Fukui) NS2023-104
In federated learning, where multiple data owners participate as clients to perform machine learning, each client shares... [more] NS2023-104
pp.162-167
IA 2023-09-21
13:50
Hokkaido Hokkaido Univeristy (Hokkaido, Online)
(Primary: On-site, Secondary: Online)
A consideration about a discovering method of privacy-enhanced authoritative DNS servers
Satoru Sunahara (CIST), Yong Jin (Tokyo Tech), Katsuyoshi Iida (HU) IA2023-11
Plain-text communication of DNS queries poses a risk of privacy leakage. Therefore, it is imperative to achieve protecti... [more] IA2023-11
pp.1-5
 Results 1 - 20 of 74  /  [Next]  
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