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Our Researchers

April 6, 2023

Kazuya Kakizaki

Secure System Platform Research Laboratories
Special Researcher

Research Area

  • Machine Learning, Data Mining
  • Data Privacy

International Conference/Workshop Papers

  • Kazuya Kakizaki, Kazuto Fukuchi, Jun Sakuma. Certified Defense for Content Based Image Retrieval. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 4561-4570, 2023
  • Singh Inderjeet, Toshinori Araki, Kazuya Kakizaki. Powerful Physical Adversarial Examples Against Practical Face Recognition Systems. IEEE/CVF Winter Conference on Applications of Computer Vision Workshop (WACV WS), pp. 301-310, 2022
  • Kazuya Kakizaki, Taiki Miyagawa, Singh Inderjeet, Jun Sakuma. Toward Practical Adversarial Attacks on Face Verification Systems. International Conference of the Biometrics Special Interest Group (BIOSIG), 2021
  • Singh Inderjeet, Satoru Momiyama, Kazuya Kakizaki, Toshinori Araki. On Brightness Agnostic Adversarial Examples Against Face Recognition Systems . International Conference of the Biometrics Special Interest Group (BIOSIG), 2021
  • Takuma Amada, Seng Pei Liew, Kazuya Kakizaki, Toshinori Araki. Universal Adversarial Spoofing Attacks against Face Recognition. International Joint Conference on Biometrics (IJCB), 2021.
  • Takuma Amada, Kazuya Kakizaki, Seng Pei Liew, Toshinori Araki, Joseph Keshet, Jun Furukawa. Adversarial Robustness for Face Recognition: How to Introduce Ensemble Diversity among Feature Extractors?. The AAAI's Workshop on Artificial Intelligence Safety (SafeAI), 2021
  • Kazuya Kakizaki, Kosuke Yoshida. Adversarial Image Translation: Unrestricted Adversarial Examples in Face Recognition Systems. The AAAI's Workshop on Artificial Intelligence Safety (SafeAI), 2020
  • Kazuya Kakizaki, Kosuke Yoshida, Tsubasa Takahashi. GlassMasq: Adversarial Examples Masquerading in Face Identification Systems with Feature Extractor. International Conference on Privacy, Security and Trust (PST), pp. 263-269, 2019
  • Kazuya Kakizaki, Kazuto Fukuchi, Jun Sakuma. Differentially Private Chi-squared Test by Unit Circle Mechanism. International Conference on Machine Learning (ICML), pp. 1761-1770, 2017

Talks

  • Kazuya Kakizaki, Kazuto Fukuchi, Jun Sakuma. Differentially Private Chi-squared Test by Unit Circle Mechanism (ICML2017). The 20th Information-Based Induction Science Workshop (IBIS) 2017
  • Kazuya Kakizaki, Kazuto Fukuchi, Jun Sakuma. Differentially Private Chi-squared Test by Unit Circle Mechanism (from ICML2017). International Workshop on Security (IWSEC), 2017

Awards

  • Hornable Award at Computer Security Symposium 2016 (CSS2016)

Committee

  • JSAI 2022 Program Committee
  • JSAI 2021 Program Committee
  • IWSEC 2021 Local Organizing Committee
  • IWSEC 2020 Local Organizing Committee

Biography

March 2015
B.S. in Computer Science from University of Tsukuba, Japan
March 2017
M.S. in Computer Science from University of Tsukuba, Japan
April 2017
Research Staff Member at NEC Corporation
September 2017-March 2018
Visiting Researcher at Singapore University of Technology and Design