Differentially Private Analysis of Outliers. - Rina Okada; Kazuto Fukuchi; Kazuya Kakizaki; Jun Sakuma (CoRR, 2015)

Differentially Private Chi-squared Test by Unit Circle Mechanism. - Kazuya Kakizaki; Kazuto Fukuchi; Jun Sakuma (ICML, 2017)

Lightweight Lipschitz Margin Training for Certified Defense against Adversarial Examples. - Hajime Ono; Tsubasa Takahashi 001; Kazuya Kakizaki (CoRR, 2018)

GlassMasq: Adversarial Examples Masquerading in Face Identification Systems with Feature Extractor. - Kazuya Kakizaki; Kosuke Yoshida; Tsubasa Takahashi 001 (PST, 2019)

Adversarial Image Translation: Unrestricted Adversarial Examples in Face Recognition Systems. - Kazuya Kakizaki; Kosuke Yoshida (SafeAI@AAAI, 2020)

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 001 (SafeAI@AAAI, 2021)

Toward Practical Adversarial Attacks on Face Verification Systems. - Kazuya Kakizaki; Taiki Miyagawa; Inderjeet Singh; Jun Sakuma (BIOSIG, 2021)

On Brightness Agnostic Adversarial Examples Against Face Recognition Systems. - Inderjeet Singh; Satoru Momiyama; Kazuya Kakizaki; Toshinori Araki (BIOSIG, 2021)

Universal Adversarial Spoofing Attacks against Face Recognition. - Takuma Amada; Seng Pei Liew; Kazuya Kakizaki; Toshinori Araki (IJCB, 2021)

Powerful Physical Adversarial Examples Against Practical Face Recognition Systems. - Inderjeet Singh; Toshinori Araki; Kazuya Kakizaki (WACV (Workshops), 2022)

Advancing Deep Metric Learning Through Multiple Batch Norms And Multi-Targeted Adversarial Examples. - Inderjeet Singh; Kazuya Kakizaki; Toshinori Araki (CoRR, 2022)

Advancing Deep Metric Learning With Adversarial Robustness. - Inderjeet Singh; Kazuya Kakizaki; Toshinori Araki (ACML, 2023)

Certified Defense for Content Based Image Retrieval. - Kazuya Kakizaki; Kazuto Fukuchi; Jun Sakuma (WACV, 2023)

Simultaneous Adversarial Attacks On Multiple Face Recognition System Components. - Inderjeet Singh; Kazuya Kakizaki; Toshinori Araki (CoRR, 2023)

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 (CVPR Workshops, 2024)

Prompt Tuning for Audio Deepfake Detection: Computationally Efficient Test-time Domain Adaptation with Limited Target Dataset. - Hideyuki Oiso; Yuto Matsunaga; Kazuya Kakizaki; Taiki Miyagawa (INTERSPEECH, 2024)

MAFT: Multimodal Automated Fact-Checking via Textualization. - Kazuya Kakizaki; Yuto Matsunaga; Ryo Furukawa (AAAI, 2025)

Deterministic and Probabilistic Certified Defenses for Content-Based Image Retrieval. - Kazuya Kakizaki; Kazuto Fukuchi; Jun Sakuma (IEICE Trans. Inf. Syst., 2025)

Robust Deepfake Detection for Electronic Know Your Customer Systems Using Registered Images. - Takuma Amada; Kazuya Kakizaki; Taiki Miyagawa; Akinori F. Ebihara; Kaede Shiohara; Toshihiko Yamasaki (CoRR, 2025)