The 9th Privacy Workshop (PWS2023)

[Japanese]

What's new

About PWS (Privacy Workshop)

Overview

As the need for big data utilization grows rapidly in Japan and overseas, there is a strong need for developing and establishing technologies and standards that balance the effective use of data while preserving privacy. To achieve this goal, it is essential to activate research and development of privacy protection technologies in Japan; this can be accomplished through active discussions and exchanges among academic institutions that promote research and development of privacy protection technologies and practitioners in industry who are active in the field of data utilization.

For the above purpose, the Computer Security Special Interest Group (CSEC) of the Information Processing Society of Japan has established the PWS Organizing Committee and co-hosted the “Privacy Workshop (PWS)” with the Security Psychology and Trust Special Interest Group (SPT) of the Information Processing Society of Japan. The PWS is scheduled to be held annually in conjunction with the Computer Security Symposium (CSS) and consists of events and sessions focusing mainly on privacy protection technologies for facilitating data utilization.

Schedule

PWS2023 Committee

Chair
Koji Chida (Gunma University)
Co-Chair
Koki Hamada (NTT)
Mutsumi Tamai (SECOM)
Members
Taeko Abe (NICT), Hiromi Arai (RIKEN), Makoto Iguchi (Kii), Satoshi Ito (Aichi Gakuin University), Shinsuke Ito (Chuo University), Hiroto Eguchi (Toppan), Hidenobu Oguri (NEC), Hiroaki Kikuchi (Meiji University), Atsushi Kuromasa (Data Society Alliance), Masahiro Sugawa (Niigata University), Yuichi Sei (The Univesity of Electro-Communications), Tsubasa Takahashi (LINE), Takao Takenouchi (LINE), Masayuki Terada (NTT DOCOMO), Hiroshi Nakagawa (RIKEN), Yuichi Nakamura (SoftBank), Kenshiro Nishiyama (LegalForce), Ryo Nojima (Ritsumeikan University), Takuma Hatano (NS Solutions), Chihiro Fujisaki (Toppan), Masahiro Fujita (Mitsubishi Electric), Ryo Furukawa (NEC), Ruiqiang Ma (Meiji University), Wakana Maeda (LINE), Takayuki Miura (NTT), Kazuhiro Minami (The Institute of Statistical Mathematics), Shoji Mima (Hitachi Consulting), Takao Murakami (AIST), Akira Yamada (Kobe University), Chiemi Watanabe (Tsukuba University of Technology)

Registration for Participation

To register for PWS2023, please visit the registration site for Computer Security Symposium 2023 (CSS2023)(in Japanese). By registering for CSS2023, you will be able to participate in CSS2023 and the joint sessions.

For more information about the registration process, please check the CSS2023 registration site and its registration fee page.

Paper Submission

PWS2023 invites a wide range of papers to be presented on technologies that balance the effective use of data with privacy protection. Topics of interest include but are not limited to:

To submit your paper to PWS2023, submit the paper to CSS2023. Please check paper writing guidelines and paper submission guidelines prior to the submission.

The CSS2023 Program Committee will decide a session your paper is to be presented on the basis of the paper's summary and keywords. If you wish to present your paper in PWS2023 session, please select "PWSトラック" when you submit your paper. Please note that we might not be able to accommodate your request to present your paper in PWS2023 session due to the number of paper submissions. In such a case, we might ask you to present your paper in other CSS sessions.

Paper Awards

We will present the following two awards.

PWS Paper Award

The program committee of the PWS track will select at most one paper that makes a particular contribution to the development of privacy protection technologies and the proper awareness of privacy risks among all papers presented at the PWS sessions. All authors of the selected paper will be awarded.

Receiving this award does not prevent you from receiving other awards granted in CSS 2023, such as CSS Best Paper Award, CSS Paper Awards, and CSS Student Paper Awards.

PWS Student Paper Award

The program committee of the PWS track will select one paper that makes a particular contribution to the development of privacy protection technologies and the proper awareness of privacy risks among all papers presented by students (excluding adult students) at the PWS sessions. All authors of the selected paper will be awarded.

Receiving this award does not prevent you from receiving other awards granted in CSS 2023, such as CSS Best Paper Award, CSS Paper Awards, and CSS Student Paper Awards.

Sponsors

Supporters

Personal Information Protection Commission (PPC)

Past PWS

Privacy Policy

The PWS2023 privacy policy is governed by the CSS2023 privacy policy (in Japanese).