Japanese

Award

1. IEEE GCCE 2023 Excellent Student Paper Awards, Outstanding Prize (2023)
2. 2022 IEICE Best Paper Award (2023)
3. IPSJ FIT Funai Best Paper Award (2022)
4. IWDW2019 Best Paper Award (2019)
5. IIHMSP2017 Excellent Paper Award (2017)
6. IWDW2015 Best Paper Award (2015)
7. IEICE Senior Member Upgrade (2015)
8. IEEE Kansai Section, Young Professionals Award (2014)
9. IEEE Kansai Section, Medal (2012)
10. IEEE Senior Member Upgrade(2011)

Invited Talks

1. Keynote Speech, 2024 Seventh International Conference on Vocational Education and Electrical Engineering (ICVEE2024), “Fighting against fake content”, Minoru Kuribayashi, October 2024.
2. Tutorial, APSIPA ASC 2023, “Spoofing Face Recognition Systems with Adversarial Examples: Challenges and Countermeasures,” Mehul S. Raval, Minoru Kuribayashi, Mohendra Roy, October, 2023.
3. Invited Speech, International Conference on Computer and Communications Management (ICCCM 2023), “Classification of Fake Content Created by Generative AI,” Minoru Kuribayashi, August 2023.
4. Keynote Speeach, International Conference on Emerging Computational Intelligence (ICECI 2023), “Multimedia Forensics for Fake Content Classification”, Minoru Kuribayashi, February 2023.
5. Tutorial, APSIPA ASC 2022, “Fake News Detection and its impact analysis,” Mehul S. Raval, Mohendra Roy, Minoru Kuribayashi, Nov. 2022.
6. Invited Talk (Virtual over Zoom),IEEE Computational Intelligence Society Chapter and Ahmedabad University, “Adversarial Examples of Deep Learning System and Its Defense,” Minoru Kuribayashi, March 2021.
7. National University of Singapore, School of Computing, SESAMI seminar “Fingerprinting for Broadcasted Multimedia Content,” Minoru Kuribayashi, Feb. 2016.
8. National University of Singapore, School of Computing, CS Seminar: “CDMA-Based Fingerprinting Technique,” Minoru Kuribayashi, Mar. 2009.

Patent

1. One Japanese Patents: P06P003712