| 2026 | ACL | Differentially Private Synthetic Text Generation for Retrieval-Augmented Generation (RAG). | Junki Mori, Kazuya Kakizaki, Taiki Miyagawa, Jun Sakuma |
| 2025 | AAAI | MAFT: Multimodal Automated Fact-Checking via Textualization. | Kazuya Kakizaki, Yuto Matsunaga, Ryo Furukawa |
| 2024 | CVPR | Outsmarting Biometric Imposters: Enhancing Iris-Recognition System Security through Physical Adversarial Example Generation and PAD Fine-Tuning. | Yuka Ogino, Kazuya Kakizaki, Takahiro Toizumi, Atsushi Ito |
| 2024 | Interspeech | Prompt Tuning for Audio Deepfake Detection: Computationally Efficient Test-time Domain Adaptation with Limited Target Dataset. | Hideyuki Oiso, Yuto Matsunaga, Kazuya Kakizaki, Taiki Miyagawa |
| 2023 | ACML | Advancing Deep Metric Learning With Adversarial Robustness. | Inderjeet Singh, Kazuya Kakizaki, Toshinori Araki |
| 2023 | WACV | Certified Defense for Content Based Image Retrieval. | Kazuya Kakizaki, Kazuto Fukuchi, Jun Sakuma |
| 2022 | WACV | Powerful Physical Adversarial Examples Against Practical Face Recognition Systems. | Inderjeet Singh, Toshinori Araki, Kazuya Kakizaki |
| 2021 | AAAI | Adversarial Robustness for Face Recognition: How to Introduce Ensemble Diversity among Feature Extractors? | Takuma Amada, Kazuya Kakizaki, Seng Pei Liew, Toshinori Araki, Joseph Keshet, Jun Furukawa |
| 2020 | AAAI | Adversarial Image Translation: Unrestricted Adversarial Examples in Face Recognition Systems. | Kazuya Kakizaki, Kosuke Yoshida |
| 2019 | PST | GlassMasq: Adversarial Examples Masquerading in Face Identification Systems with Feature Extractor. | Kazuya Kakizaki, Kosuke Yoshida, Tsubasa Takahashi |
| 2017 | ICML | Differentially Private Chi-squared Test by Unit Circle Mechanism. | Kazuya Kakizaki, Kazuto Fukuchi, Jun Sakuma |