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Research on master biometric information protection and utilization platform

Research Project

Project/Area Number 21H04907
Research Category

Grant-in-Aid for Scientific Research (A)

Allocation TypeSingle-year Grants
Section一般
Review Section Medium-sized Section 61:Human informatics and related fields
Research InstitutionNational Institute of Informatics

Principal Investigator

越前 功  国立情報学研究所, 情報社会相関研究系, 教授 (30462188)

Co-Investigator(Kenkyū-buntansha) 山岸 順一  国立情報学研究所, コンテンツ科学研究系, 教授 (70709352)
Project Period (FY) 2021-04-05 – 2024-03-31
Project Status Granted (Fiscal Year 2023)
Budget Amount *help
¥42,120,000 (Direct Cost: ¥32,400,000、Indirect Cost: ¥9,720,000)
Fiscal Year 2023: ¥14,820,000 (Direct Cost: ¥11,400,000、Indirect Cost: ¥3,420,000)
Fiscal Year 2022: ¥12,350,000 (Direct Cost: ¥9,500,000、Indirect Cost: ¥2,850,000)
Fiscal Year 2021: ¥14,950,000 (Direct Cost: ¥11,500,000、Indirect Cost: ¥3,450,000)
Keywords生体情報保護 / 機械学習
Outline of Research at the Start

機械学習の進展により,特定の人物の生体情報を復元せずに,公開されている生体情報データセットから複数の人物の生体情報と認識される生体情報(マスター生体情報)を生成可能なことが新たに分かってきた.そこで,本研究では,マスター生体情報の検出により「なりすまし」を防止する一方で,当該情報の生成に用いられる生体情報データセットについては,その有用性を担保しつつ,生体情報データセット固有の脅威を「無毒化」する生体情報保護活用基盤を確立する.

Outline of Annual Research Achievements

2022年度には,[目的2] 生体情報データセット無毒化技術の確立の以下の2つの課題に取り組み,成果を論文,ソースコード,およびデータセットとして公開した.[目的2]の概要は,以下の通りである.
[目的2]:生体情報データセットを「無毒化」し,なりすましやプライバシー侵害のリスクを排除した疑似生体情報データセットとして多様な評価や分析・解析に用いることのできる無毒化技術を確立する.さらに,マスター生体情報についても疑似生体情報に変換する無毒化技術を確立する.
[目的2]における各課題の実績概要を以下に示す.
[課題2-1]生体情報無毒化の基本検討:生体情報を用いた多様な評価や分析・解析などの有用性を維持しながら,生体情報の公開,漏洩などによる,プライバシー侵害やなりすましなどのセキュリティ問題などのリスクを排除または低減する無毒化技術の基本原理を検討した.具体的には,顔画像に対して,有用性の観点から維持すべき特徴量と,リスク低減の観点から匿名化すべき特徴量を分析し,双方の要件が両立するように学習モデルを検討し,生体情報から疑似生体情報を生成する無毒化の基本原理を確立した.
[課題2-2] 生体情報データセットの無毒化:[課題2-1]で検討した無毒化の基本原理は,生体情報を入力としているが,[目的1]で検討したマスター生体情報に対しても,無毒化によりなりすましの成功率が大幅に低減するように,無毒化技術を高度化することを検討した.次に,公開されている顔,静脈の生体情報データセットを入手し,検討した無毒化技術により当該データセットから疑似生体情報データセットを生成し,疑似生体情報データセットの有用性(生体認証の性能評価)を検証した.

Current Status of Research Progress
Current Status of Research Progress

2: Research has progressed on the whole more than it was originally planned.

Reason

当初の想定に反し、無毒化により、生体情報データの品質が劣化することが判明したが、上記以外の課題については、順調に進展している。

Strategy for Future Research Activity

生体情報データセットの無毒化の再検討を追加して実施する。

Report

(3 results)
  • 2022 Annual Research Report
  • 2021 Comments on the Screening Results   Annual Research Report
  • Research Products

    (40 results)

All 2023 2022 2021 Other

All Journal Article (8 results) (of which Int'l Joint Research: 8 results,  Peer Reviewed: 8 results,  Open Access: 8 results) Presentation (24 results) (of which Int'l Joint Research: 20 results,  Invited: 8 results) Book (6 results) Remarks (2 results)

  • [Journal Article] Deep Learning for Predictive Analytics in Reversible Steganography2023

    • Author(s)
      Chang Ching-Chun、Wang Xu、Chen Sisheng、Echizen Isao、Sanchez Victor、Li Chang-Tsun
    • Journal Title

      IEEE Access

      Volume: 11 Pages: 3494-3510

    • DOI

      10.1109/access.2023.3233976

    • Related Report
      2022 Annual Research Report 2021 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] On the predictability in reversible steganography2023

    • Author(s)
      Chang Ching-Chun、Wang Xu、Chen Sisheng、Kiya Hitoshi、Echizen Isao
    • Journal Title

      Telecommunication Systems

      Volume: 82 Issue: 2 Pages: 301-313

    • DOI

      10.1007/s11235-022-00985-0

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Purifying Adversarial Images using Adversarial Autoencoder with Conditional Normalizing Flows2023

    • Author(s)
      Ji Yi、Le Trung-Nghia、Nguyen Huy H.、Echizen Isao
    • Journal Title

      IEEE Open Journal of Signal Processing

      Volume: - Pages: 1-9

    • DOI

      10.1109/ojsp.2023.3275053

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Effects of Image Processing Operations on Adversarial Noise and Their Use in Detecting and Correcting Adversarial Images2022

    • Author(s)
      Huy H. Nguyen, Minoru Kuribayashi, Junichi Yamagishi, Isao Echizen
    • Journal Title

      IEICE Transactions on Information and Systems

      Volume: E105.D Issue: 1 Pages: 65-77

    • DOI

      10.1587/transinf.2021MUP0005

    • NAID

      130008138838

    • ISSN
      0916-8532, 1745-1361
    • Year and Date
      2022-01-01
    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Steganographic secret sharing via AI-generated photorealistic images2022

    • Author(s)
      Gao Kai、Chang Ching-Chun、Horng Ji-Hwei、Echizen Isao
    • Journal Title

      EURASIP Journal on Wireless Communications and Networking

      Volume: 2022 Issue: 1

    • DOI

      10.1186/s13638-022-02190-8

    • Related Report
      2022 Annual Research Report 2021 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Group Testing with Blocks of Positives and Inhibitors2022

    • Author(s)
      Bui Thach V.、Echizen Isao、Kuribayashi Minoru、Kojima Tetsuya、Nguyen Thuc D.
    • Journal Title

      Entropy

      Volume: 24 Issue: 11 Pages: 1562-1562

    • DOI

      10.3390/e24111562

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Master Face Attacks on Face Recognition Systems2022

    • Author(s)
      Nguyen Huy H.、Marcel Sebastien、Yamagishi Junichi、Echizen Isao
    • Journal Title

      IEEE Transactions on Biometrics, Behavior, and Identity Science

      Volume: 4 Issue: 3 Pages: 398-411

    • DOI

      10.1109/tbiom.2022.3166206

    • Related Report
      2022 Annual Research Report 2021 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Steganographic Secret Sharing With GAN-Based Face Synthesis and Morphing for Trustworthy Authentication in IoT2021

    • Author(s)
      Chen Sisheng、Chang Ching-Chun、Echizen Isao
    • Journal Title

      IEEE Access

      Volume: 9 Pages: 116427-116439

    • DOI

      10.1109/access.2021.3105590

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Presentation] Secure and Privacy Preserving Proxy Biometrics Identities2023

    • Author(s)
      H. Kaur, R. Shukla, I. Echizen, and P. Khanna
    • Organizer
      AINA 2023
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Face Forgery Detection Based on Facial Region Displacement Trajectory Series2023

    • Author(s)
      Y. Sun, Z. Zhang, I. Echizen, H. H. Nguyen, C. Qiu, and S. Lu
    • Organizer
      Winter Conference on Applications of Computer Vision Workshop (WACV-W)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Closer Look at the Transferability of Adversarial Examples: How They Fool Different Models Differently2023

    • Author(s)
      Futa Waseda, Sosuke Nishikawa, Trung-Nghia Le, Huy H. Nguyen, and Isao Echizen
    • Organizer
      IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Analysis of Master Vein Attacks on Finger Vein Recognition Systems2023

    • Author(s)
      Huy H. Nguyen, Trung-Nghia Le, Junichi Yamagishi, and Isao Echizen
    • Organizer
      IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Detection and Correction of Adversarial Examples Based on JPEG-Compression-Derived Distortion2022

    • Author(s)
      K. Tsunomori, Y. Yamasaki, M. Kuribayashi, N. Funabiki, I. Echize
    • Organizer
      Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2022)
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] On the Adversarial Transferability of ConvMixer Models2022

    • Author(s)
      Ryota Iijima, Miki Tanaka, Isao Echizen, and Hitoshi Kiya
    • Organizer
      Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2022)
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] On the Transferability of Adversarial Examples between Encrypted Models2022

    • Author(s)
      Miki Tanaka, Isao Echizen, Hitoshi Kiya
    • Organizer
      IEEE ISPACS 2022
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] A Multilingual Bag-of-Entities Model for Zero-Shot Cross-Lingual Text Classification2022

    • Author(s)
      Sosuke Nishikawa, Ikuya Yamada, Yoshimasa Tsuruoka, Isao Echizen
    • Organizer
      The SIGNLL Conference on Computational Natural Language Learning (CoNLL 2022)
    • Related Report
      2022 Annual Research Report 2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Rethinking Adversarial Examples for Location Privacy Protection2022

    • Author(s)
      Trung-Nghia Le, Ta Gu, Huy H. Nguyen, Isao Echizen
    • Organizer
      IEEE International Workshop on Information Forensics and Security, 2022 (WIFS 2022)
    • Related Report
      2022 Annual Research Report 2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] GUNNEL: Guided Mixup Augmentation and Multi-View Fusion for Aquatic Animal Segmentation2022

    • Author(s)
      Minh-Quan Le, Trung-Nghia Le, Tam V. Nguyen, Isao Echizen, Minh-Triet Tran
    • Organizer
      CV4Animal Workshop, CVPR 2022
    • Related Report
      2022 Annual Research Report 2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] EASE: Entity-Aware Contrastive Learning of Sentence Embedding2022

    • Author(s)
      Sosuke Nishikawa, Ryokan Ri, Ikuya Yamada, Yoshimasa Tsuruoka and Isao Echizen
    • Organizer
      NAACL 2022
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] マルチメディア・シンセティックメディアの観点からの次世代セキュリティ2022

    • Author(s)
      越前功
    • Organizer
      第9回ASF次世代セキュリティシンポジウム
    • Related Report
      2022 Annual Research Report
    • Invited
  • [Presentation] Real or Fake? フェイクメディアの生成と検出,インフォデミックの克服に向けて2022

    • Author(s)
      越前功
    • Organizer
      JSAI合同研究会 安全性とセキュリティ研究会セッション
    • Related Report
      2022 Annual Research Report
    • Invited
  • [Presentation] Real or Fake? From Biometric Data Protection to Fake Media Detection2022

    • Author(s)
      Isao Echizen
    • Organizer
      ICSTE 2022
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] Real or Fake? From Biometric Data Protection to Fake Media Detection2022

    • Author(s)
      Isao Echizen
    • Organizer
      IEICE English Webinar(Distinguished Lecturer Program Series)
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] Real or Fake? Fake Media Generation and Detection2022

    • Author(s)
      Isao Echizen
    • Organizer
      INTERNATIONAL FORUM INTELLIGENCE AUGMENTATION AND AMPLIFICATION PLUS SOCIETY 2022 (IAASOC 2022)
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] Real or Fake? From Biometric Data Protection to Fake Media Detection2022

    • Author(s)
      Isao Echizen
    • Organizer
      The 2022 4th International Electronics Communication Conference (IECC 2022)
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] Real or Fake? 生体情報の共有とフェイクメディア生成 ~インフォデミックの克服に向けた取り組み~2022

    • Author(s)
      越前功
    • Organizer
      大阪大学 MMDS AI・データ利活用研究会 第28回
    • Related Report
      2022 Annual Research Report
    • Invited
  • [Presentation] ディープフェイクとは2022

    • Author(s)
      越前功
    • Organizer
      第65回 情報セキュリティ大学院大学 ISSスクエア水平ワークショップ
    • Related Report
      2022 Annual Research Report
    • Invited
  • [Presentation] EASE: Entity-Aware Contrastive Learning of Sentence Embedding.2022

    • Author(s)
      Sosuke Nishikawa, Ryokan Ri, Ikuya Yamada, Yoshimasa Tsuruoka and Isao Echizen
    • Organizer
      NAACL 2022
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Effectiveness of Detection-based and Regression-based Approaches for Estimating Mask-Wearing Ratio2021

    • Author(s)
      Khanh-Duy Nguyen, Huy H. Nguyen, Trung-Nghia Le, Junichi Yamagishi, Isao Echizen
    • Organizer
      The International Workshop on Face and Gesture Analysis for COVID-19 (FG4COVID19) held in conjunction with FG 2021
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] A Multilingual Bag-of-Entities Model forZero-Shot Cross-Lingual Text Classification2021

    • Author(s)
      Sosuke Nishikawa, Ikuya Yamada, Yoshimasa Tsuruoka, Isao Echizen
    • Organizer
      ACL-IJCNLP 2021 Student Research Workshop (non-archival option)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] OpenForensics: Large-Scale Challenging Dataset For Multi-Face Forgery Detection And Segmentation In-The-Wild2021

    • Author(s)
      Trung-Nghia Le, Huy H. Nguyen, Junichi Yamagishi, Isao Echizen
    • Organizer
      ICCV 2021, accepted
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Fashion-Guided Adversarial Attack on Person Segmentation2021

    • Author(s)
      Marc Treu, Trung-Nghia Le, Huy H. Nguyen, Junichi Yamagishi, Isao Echizen
    • Organizer
      Computer Vision and Pattern Recognition WORKSHOP ON MEDIA FORENSICS 2021
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Book] Frontiers in Fake Media Generation and Detection2022

    • Author(s)
      Mahdi Khosravy (編集), Isao Echizen (編集), Noboru Babaguchi (編集)
    • Total Pages
      289
    • Publisher
      Springer
    • Related Report
      2022 Annual Research Report
  • [Book] "Future Trends in Digital Face Manipulation and Detection", Book chapter, Handbook of Digital Face Manipulation and Detection2022

    • Author(s)
      Christian Rathgeb (Editor), Ruben Tolosana (Editor), Ruben Vera-Rodriguez (Editor), Christoph Busch (Editor)
    • Publisher
      Springer
    • Related Report
      2022 Annual Research Report
  • [Book] "Future Trends in Digital Face Manipulation and Detection", Book chapter, Handbook of Digital Face Manipulation and Detection2022

    • Author(s)
      Ruben Tolosana, Christian Rathgeb, Ruben Vera-Rodriguez, Christoph Busch, Luisa Verdoliva, Siwei Lyu, Huy H. Nguyen, Junichi Yamagishi, Isao Echizen,他
    • Publisher
      Springer
    • Related Report
      2022 Annual Research Report
  • [Book] Frontiers in Fake Media Generation and Detection2022

    • Author(s)
      Mahdi Khosravy, Isao Echizen, Noboru Babaguchi
    • Publisher
      Springer
    • Related Report
      2021 Annual Research Report
  • [Book] 映像情報メディア学会誌(2022年07月号)特集:インフォデミック時代のAIとサイバーセキュリティ, "Deepfake生成と検出の現状"2022

    • Author(s)
      Trung-Nghia Le, Huy H Nguyen, 山岸順一, 越前功
    • Publisher
      映像情報メディア学会
    • Related Report
      2021 Annual Research Report
  • [Book] 映像情報メディア学会誌(2022年07月号)特集:インフォデミック時代のAIとサイバーセキュリティ "フェイクメディア克服の最前線"2022

    • Author(s)
      越前功, 馬場口登, 笹原和俊
    • Publisher
      映像情報メディア学会
    • Related Report
      2021 Annual Research Report
  • [Remarks] 越前研究室

    • URL

      https://research.nii.ac.jp/~iechizen/official/index.html

    • Related Report
      2022 Annual Research Report
  • [Remarks] researchmap

    • URL

      https://researchmap.jp/echizenisao/

    • Related Report
      2022 Annual Research Report

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Published: 2021-04-28   Modified: 2024-12-25  

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