Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
ICSS, IPSJ-SPT |
2023-03-14 10:50 |
Okinawa |
Okinawaken Seinenkaikan (Primary: On-site, Secondary: Online) |
Discussion about Privacy-aware Anonymization of Traffic Logs for Malicious Activity Detection Takeshi Ogawa (Nagoya Univ.), Hirokazu Hasegawa (NII), Yukiko Yamaguchi, Hajime Shimada (Nagoya Univ.) ICSS2022-74 |
The detection of malicious communications from traffic logs has an aspect of invading the privacy because of monitoring ... [more] |
ICSS2022-74 pp.157-162 |
IN, NS (Joint) |
2023-03-03 10:10 |
Okinawa |
Okinawa Convention Centre + Online (Primary: On-site, Secondary: Online) |
Access Control Method with Privacy Preservation in NDN Yuma Fukagawa, Noriaki Kamiyama (Ritsumeikan Univ.) NS2022-221 |
Information-Centric Networking (ICN), which transfers Interest by the name of content without using name resolution and ... [more] |
NS2022-221 pp.310-315 |
AI |
2022-12-21 17:10 |
Fukuoka |
|
An Algorithm Combined Grouping and Adding Dummy to Satisfy l-diversity Keiichiro Oishi, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2022-47 |
Universities and companies access personal information databases for a wide range of purposes, and privacy consideration... [more] |
AI2022-47 pp.80-86 |
CW (2nd) |
2022-12-16 |
  |
|
Proposal and Validation of a Serious Game to Improve Internet Literacy among Youth Owada Mitsuki, Kokubo Rin, Hamada Atsushi, Iio Jun (Chuo Univ.) |
This paper describes our original Serious Game about the personal information and how youth’s internet literacy changed ... [more] |
|
NS, ICM, CQ, NV (Joint) |
2022-11-24 09:55 |
Fukuoka |
Humanities and Social Sciences Center, Fukuoka Univ. + Online (Primary: On-site, Secondary: Online) |
Highly Accurate Privacy-Enhanced Federated Learning Using Data On The Server Yuta Kakizaki (TUS), Koya Sato (UEC), Keiichi Iwamura (TUS) NS2022-100 |
Federated learning is a cooperative machine learning approach that prohibits disclosing training data from distributed d... [more] |
NS2022-100 pp.1-6 |
NS, ICM, CQ, NV (Joint) |
2022-11-24 10:20 |
Fukuoka |
Humanities and Social Sciences Center, Fukuoka Univ. + Online (Primary: On-site, Secondary: Online) |
Social Surplus Maximization Using Incentive Mechanism for Cross-Silo Federated Learning with Differential Privacy Shota Miyagoshi, Takuji Tachibana (Univ. Fukui) NS2022-101 |
In cross-silo federated learning, where multiple organizations participate, the prediction accuracy of the global model ... [more] |
NS2022-101 pp.7-12 |
NS, ICM, CQ, NV (Joint) |
2022-11-25 13:00 |
Fukuoka |
Humanities and Social Sciences Center, Fukuoka Univ. + Online (Primary: On-site, Secondary: Online) |
[Invited Talk]
Continual Learning for Privacy Protection and Data Leakage Prevention Takashi Shibata (NTT) NS2022-123 CQ2022-56 ICM2022-26 |
Continuous learning aims to train a highly expressive model for a new task while retaining all knowledge about previous ... [more] |
NS2022-123 CQ2022-56 ICM2022-26 pp.131-132(NS), pp.52-53(CQ), pp.25-26(ICM) |
ISEC, SITE, LOIS |
2022-11-18 16:20 |
Online |
Online |
Decentralization of Revocation Process Using Intermediate Servers in Revocable Group Signatures Kai Kimura, Toru Nakanishi, Teruaki Kitasuka (Hiroshima Univ.) ISEC2022-41 SITE2022-45 LOIS2022-25 |
A group signature is a signature method that allows a user who belongs to a group to prove that he or she ”belongs to th... [more] |
ISEC2022-41 SITE2022-45 LOIS2022-25 pp.66-72 |
ISEC, SITE, LOIS |
2022-11-18 16:55 |
Online |
Online |
Reducing Authentication Data Size in Decentralized Blacklistable Anonymous Credential System Using DualRing Atsuki Iriboshi, Toru Nakanishi, Katsunobu Imai (Hiroshima Univ.) ISEC2022-44 SITE2022-48 LOIS2022-28 |
For privacy protection, blacklistable anonymous credential systems have been proposed, where a user is authenticated wit... [more] |
ISEC2022-44 SITE2022-48 LOIS2022-28 pp.85-91 |
BioX |
2022-10-03 15:15 |
Okinawa |
|
[Invited Talk]
Sensing Technologies for Social Safety Naoyuki Takada (SECOM) BioX2022-58 |
In 1966, the first online security system outfitted in Japan was developed and commercialized by SECOM. It used sensors ... [more] |
BioX2022-58 p.19 |
IA, CQ, MIKA (Joint) |
2022-09-15 13:50 |
Hokkaido |
Hokkaido Citizens Actives Center (Primary: On-site, Secondary: Online) |
Secure outsourcing data integrity auditing for Internet of Things in cloud-edge environment Yangfei Lin, Celimuge Wu, Tsutomu Yoshinaga (UEC) CQ2022-30 |
The number of IoT devices has expanded greatly last few years. Given the feature of limited computing and storage resour... [more] |
CQ2022-30 pp.42-47 |
NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-14 14:00 |
Ishikawa |
The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
A Study of Dynamic Privacy Control Method in LDP for Preserving Temporal/Spatial Intrinsic Information Value of Trajectory Data Taisho Sasada, Yuzo Taenaka, Youki Kadobayashi (NAIST) NS2022-47 |
Spatiotemporal data, including people's movement trajectories and transit points, is highly valuable for various applica... [more] |
NS2022-47 pp.106-111 |
NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-15 11:30 |
Ishikawa |
The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
Human counting with low-resolution thermal camera from small data sets Daisuke Aoshima (Osaka Pref. Univ.), Masashi Sugano (Osaka Metro. Univ.) SeMI2022-41 |
This study is to estimate the number of people by infrared array sensor. Data obtained from this sensor do not include p... [more] |
SeMI2022-41 pp.93-97 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2022-06-27 14:50 |
Okinawa |
(Primary: On-site, Secondary: Online) |
AI knowledge forgetting based on the importance of model parameters Tomoya Yamashita, Masanori Yamada (NTT) NC2022-3 IBISML2022-3 |
The accuracy of Deep Learning has been greatly improved by the progress of research in computer technology and Deep Lear... [more] |
NC2022-3 IBISML2022-3 pp.14-19 |
SITE, IPSJ-EIP |
2022-06-09 15:20 |
Tokyo |
(Primary: On-site, Secondary: Online) |
A Study on the Role of Data-Related Legislation in Digital Strategy Naonori Kato (KDDI RI/NFI), Kyoko Mori (KDDI RI/Hitotsubashi Uni.), Yosuke Murakami, Minoru Kouzu (KDDI RI) SITE2022-7 |
On May 3, 2022, the European Commission published the details of the establishment of the European Health Data Space (EH... [more] |
SITE2022-7 pp.40-45 |
IT, EMM |
2022-05-18 14:20 |
Gifu |
Gifu University (Primary: On-site, Secondary: Online) |
[Invited Talk]
Decentralized Federated Learning: Fundamentals, Research Trends and Open Issues in Wireless Channels Koya Sato (UEC) IT2022-14 EMM2022-14 |
The expansion of machine learning applications has raised novel concerns, such as data privacy and communication costs. ... [more] |
IT2022-14 EMM2022-14 p.73 |
CQ, CS (Joint) |
2022-05-12 14:20 |
Fukui |
Fukui (Fuku Pref.) (Primary: On-site, Secondary: Online) |
Distributed Network Intrusion Detection System Using Federated Learning Yuya Tsuru, Tomoya Kawakami, Tatsuhito Hasegawa (Univ. of Fukui) CQ2022-5 |
A network-based intrusion detection system (NIDS) monitors a network and detects unauthorized traffic. Currently, a vari... [more] |
CQ2022-5 pp.20-25 |
NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 14:05 |
Online |
Online |
Verification of gender identifiability and its sensitivity from heart rate data in Allstar heart rate variability big data analysis Itaru Kaneko, Emi Yuda (Tohoku Univ.) NLP2021-85 MICT2021-60 MBE2021-46 |
We have verified the analysis of Allstar heart rate big data (big data of heart rate that we are analyzing). This time, ... [more] |
NLP2021-85 MICT2021-60 MBE2021-46 pp.50-53 |
IN, IA (Joint) |
2021-12-17 13:25 |
Hiroshima |
Higashi-Senda campus, Hiroshima Univ. (Primary: On-site, Secondary: Online) |
[Short Paper]
A Study on Live Video Processing Time Reduction Methods for Privacy-oriented Video Management Satoru Matsumoto, Tomoki Yoshihisa (Osaka Univ.), Tomoya Kawakami (Fukui Univ.), Yuuichi Teranishi (NICT) IA2021-44 |
In recent years, public cameras have been installed everywhere. The videos taken are often set up for confirmation accor... [more] |
IA2021-44 pp.65-66 |
RISING (3rd) |
2021-11-17 09:00 |
Tokyo |
(Primary: On-site, Secondary: Online) |
Proposal of Incentive Mechanism for Cross-Silo Federated Learning with Differential Privacy Shota Miyagoshi, Takuji Tachibana (Univ. Fukui) |
In cross-silo federated learning, where multiple companies/organizations participate, the prediction accuracy of the glo... [more] |
|