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Our Researchers
April 1, 2025
Kazuya Kakizaki
Special Researcher
Ph.D. in Engineering
Research Area
- Machine Learning, Data Mining
- Data Privacy
International Conference/Workshop Papers
- Kazuya Kakizaki, Yuto Matsunaga, Ryo Furukawa, MAFT: Multimodal Automated Fact-Checking via Textualization, AAAI Conference on Artificial Intelligence (AAAI 2025)
- Hideyuki Oiso, Yuto Matsunaga, Kazuya Kakizaki, Taiki Miyagawa, Prompt Tuning for Audio Deepfake Detection: Computationally Efficient Test-time Domain Adaptation with Limited Target Dataset, INTERSPEECH (INTERSPEECH 2024)
- Yuka Ogino, Kazuya Kakizaki, Takahiro Toizumi, Atsushi Ito, Outsmarting Biometric Imposters: Enhancing Iris-Recognition System Security through Physical Adversarial Example Generation and PAD Fine-Tuning, IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2024) (Best Paper Award)
- Singh Inderjeet, Kazuya Kakizaki,Toshinori Araki, Advancing Deep Metric Learning With Adversarial Robustness, Asian Conference on Machine Learning (ACML 2023)
- Kazuya Kakizaki, Kazuto Fukuchi, Jun Sakuma. Certified Defense for Content Based Image Retrieval. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 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 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, Satoshi 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 2019)
- Kazuya Kakizaki, Kazuto Fukuchi, Jun Sakuma. Differentially Private Chi-squared Test by Unit Circle Mechanism. International Conference on Machine Learning (ICML 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
- Outstanding Paper Award (CSS2016)
- Best Paper Award (CVPRW2024)
Committee
- AAAI 2025 Program Committee
- JSAI 2021-2022 Program Committee
- IWSEC 2020-2021 Local Organizing Committee
Biography
- March 2015
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B.S. of Engineering from University of Tsukuba, Japan
- March 2017
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M.S. of Engineering from University of Tsukuba, Japan
- April 2017
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Research Staff Member at NEC Corporation
- September 2017-March 2018
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Visiting Researcher at Singapore University of Technology and Design
- April 2019-March 2021
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Visiting Researcher at RIKEN AIP
- March 2025
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Ph.D. in Engineering, University of Tsukuba, Japan