Echizen Laboratory National Institute of Informatics (NII)

 

Department of Information and Communication Engineering,
Graduate School of Information Science and Technology, The University of Tokyo

 

Department of Informatics, School of Multidisciplinary Sciences,
The Graduate University For Advanced Studies (SOKENDAI)

Achievements(2022)

Refereed journal papers | Refereed conference papers | Preprints | Preprints | Books, book chapters, and research reports | Invited talks | Oral Presentation, Poster・demo | Media coverage(Press release/ News release) | Media coverage(Online articles) | Media coverage(TV / Radio) | Media coverage(Newspapers) | Media coverage(Others) | Patents | Awards | Others

Refereed journal papers

  1. Huy H. Nguyen, Sébastien Marcel, Junichi Yamagishi. Isao Echizen, "Master Face Attacks on Face Recognition Systems", IEEE TBIOM, accepted, April 2022, Link
  2. Huy H. Nguyen, Minoru Kuribayashi, Junichi Yamagishi, Isao Echizen, "Effects of Image Processing Operations on Adversarial Noise and Their Application to Detecting and Correcting Adversarial Images," IEICE Trans. Inf. Syst., vol.E105-D, no.1, 2022.

Refereed conference papers

  1. Futa Waseda, Sosuke Nishikawa, Trung-Nghia Le, Huy H. Nguyen, and Isao Echizen, "Closer Look at the Transferability of Adversarial Examples: How They Fool Different Models Differently," IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023) , January 2023, Preprint
  2. Huy H. Nguyen, Trung-Nghia Le, Junichi Yamagishi, and Isao Echizen, "Analysis of Master Vein Attacks on Finger Vein Recognition Systems," IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023), January 2023, Preprint
  3. K. Tsunomori, Y. Yamasaki, M. Kuribayashi, N. Funabiki, I. Echizen, "Detection and Correction of Adversarial Examples Based on JPEG-Compression-Derived Distortion," Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2022), November 2022
  4. Ryota Iijima, Miki Tanaka, Isao Echizen, and Hitoshi Kiya, "On the Adversarial Transferability of ConvMixer Models", APSIPA ASC 2022, Novemver 2022, Preprint
  5. Miki Tanaka, Isao Echizen, Hitoshi Kiya, "On the Transferability of Adversarial Examples between Encrypted Models", IEEE ISPACS 2022, Novemver 2022, Preprint
  6. Sosuke Nishikawa, Ikuya Yamada, Yoshimasa Tsuruoka, Isao Echizen, "A Multilingual Bag-of-Entities Model for Zero-Shot Cross-Lingual Text Classification", The SIGNLL Conference on Computational Natural Language Learning (CoNLL 2022), December 2022, Preprint
  7. Trung-Nghia Le, Ta Gu, Huy H. Nguyen, Isao Echizen, "Rethinking Adversarial Examples for Location Privacy Protection", IEEE International Workshop on Information Forensics and Security, 2022 (WIFS 2022), December 2022, Preprint
  8. Minh-Quan Le, Trung-Nghia Le, Tam V. Nguyen, Isao Echizen, Minh-Triet Tran, "GUNNEL: Guided Mixup Augmentation and Multi-View Fusion for Aquatic Animal Segmentation", CV4Animal Workshop, CVPR 2022, June 2022, Preprint, Poster
  9. Sosuke Nishikawa, Ryokan Ri, Ikuya Yamada, Yoshimasa Tsuruoka and Isao Echizen, "EASE: Entity-Aware Contrastive Learning of Sentence Embedding." NAACL 2022, accepted, July 2022 , Preprint

Preprints

Books, book chapters, and research reports


Frontiers in Fake Media Generation and Detection (M. Khosravy, I. Echizen, and N. Babaguchi, eds.)
 
  1. Trung-Nghia Le, Huy H Nguyen, Junichi Yamagishi, and Isao Echizen, "Robust Deepfake On Unrestricted Media: Generation And Detection", Book chapter, Frontiers in Fake Media Generation and Detection, Chapter 4, Springer, 2022, Link
  2. Mahdi Khosravy, Isao Echizen, Noboru Babaguchi, "Frontiers in Fake Media Generation and Detection", Springer, 2022年6月, Link
  3. Ruben Tolosana, Christian Rathgeb, Ruben Vera-Rodriguez, Christoph Busch, Luisa Verdoliva, Siwei Lyu, Huy H. Nguyen, Junichi Yamagishi, Isao Echizen, Peter Rot, Klemen Grm, Vitomir Štruc, Antitza Dantcheva, Zahid Akhtar, Sergio Romero-Tapiador, Julian Fierrez, Aythami Morales, Javier Ortega-Garcia, Els Kindt, Catherine Jasserand, Tarmo Kalvet, Marek Tiits, "Future Trends in Digital Face Manipulation and Detection", Book chapter, Handbook of Digital Face Manipulation and Detection, pp.463-482, Springer, 2022
  4. Huy H. Nguyen, Junichi Yamagishi, Isao Echizen, "Capsule-Forensics Networks for Deepfake Detection", Book chapter, Handbook of Digital Face Manipulation and Detection, pp. 275-301, Springer, 2022

Invited talks

  1. Isao Echizen, "Real or Fake? From Biometric Data Protection to Fake Media Detection", ICSTE 2022, October 2022, Link
  2. Isao Echizen, IEICE English Webinar(Distinguished Lecturer Program Series), October 2022
  3. Isao Echizen, "Real or Fake? Fake Media Generation and Detection", INTERNATIONAL FORUM INTELLIGENCE AUGMENTATION AND AMPLIFICATION PLUS SOCIETY 2022 (IAASOC 2022), July 2022 Link
  4. Isao Echizen, "Real or Fake? From Biometric Data Protection to Fake Media Detection", The 2022 4th International Electronics Communication Conference (IECC 2022), July 2022 <Keynote>

Oral Presentation, Poster・demo

Media coverage(Press release/ News release)

Media coverage(Online articles)

Media coverage(TV / Radio)

Media coverage(Newspapers)

Media coverage(Others)

Patents

Awards

Others