Kazuya Kakizaki

According to our database, Kazuya Kakizaki authored at least 19 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, July, 2025

Deterministic and Probabilistic Certified Defenses for Content-Based Image Retrieval.

Kazuya Kakizaki, Kazuto Fukuchi, Jun Sakuma

IEICE Trans. Inf. Syst., 2025

MAFT: Multimodal Automated Fact-Checking via Textualization.

Kazuya Kakizaki, Yuto Matsunaga, Ryo Furukawa

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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

Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Simultaneous Adversarial Attacks On Multiple Face Recognition System Components.

Inderjeet Singh, Kazuya Kakizaki, Toshinori Araki

CoRR, 2023

Certified Defense for Content Based Image Retrieval.

Kazuya Kakizaki, Kazuto Fukuchi, Jun Sakuma

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Advancing Deep Metric Learning With Adversarial Robustness.

Inderjeet Singh, Kazuya Kakizaki, Toshinori Araki

Proceedings of the Asian Conference on Machine Learning, 2023

2022

Advancing Deep Metric Learning Through Multiple Batch Norms And Multi-Targeted Adversarial Examples.

Inderjeet Singh, Kazuya Kakizaki, Toshinori Araki

CoRR, 2022

Powerful Physical Adversarial Examples Against Practical Face Recognition Systems.

Inderjeet Singh, Toshinori Araki, Kazuya Kakizaki

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022

2021

Universal Adversarial Spoofing Attacks against Face Recognition.

Takuma Amada, Seng Pei Liew, Kazuya Kakizaki, Toshinori Araki

Proceedings of the International IEEE Joint Conference on Biometrics, 2021

On Brightness Agnostic Adversarial Examples Against Face Recognition Systems.

Inderjeet Singh, Satoru Momiyama, Kazuya Kakizaki, Toshinori Araki

Proceedings of the 20th International Conference of the Biometrics Special Interest Group, 2021

Toward Practical Adversarial Attacks on Face Verification Systems.

Kazuya Kakizaki, Taiki Miyagawa, Inderjeet Singh, Jun Sakuma

Proceedings of the 20th International Conference of the Biometrics Special Interest Group, 2021

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

Proceedings of the Workshop on Artificial Intelligence Safety 2021 (SafeAI 2021) co-located with the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), 2021

2020

Adversarial Image Translation: Unrestricted Adversarial Examples in Face Recognition Systems.

Kazuya Kakizaki, Kosuke Yoshida

Proceedings of the Workshop on Artificial Intelligence Safety, 2020

2019

GlassMasq: Adversarial Examples Masquerading in Face Identification Systems with Feature Extractor.

Kazuya Kakizaki, Kosuke Yoshida, Tsubasa Takahashi

Proceedings of the 17th International Conference on Privacy, Security and Trust, 2019

2018

Lightweight Lipschitz Margin Training for Certified Defense against Adversarial Examples.

Hajime Ono, Tsubasa Takahashi, Kazuya Kakizaki

CoRR, 2018

2017

Differentially Private Chi-squared Test by Unit Circle Mechanism.

Kazuya Kakizaki, Kazuto Fukuchi, Jun Sakuma

Proceedings of the 34th International Conference on Machine Learning, 2017

2015

Differentially Private Analysis of Outliers.

Rina Okada, Kazuto Fukuchi, Kazuya Kakizaki, Jun Sakuma

CoRR, 2015