Kazuya Kakizaki
Kazuya Kakizaki
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Title
Cited by
Cited by
Year
Differentially private chi-squared test by unit circle mechanism
K Kakizaki, K Fukuchi, J Sakuma
International Conference on Machine Learning, 1761-1770, 2017
222017
Differentially private analysis of outliers
R Okada, K Fukuchi, K Kakizaki, J Sakuma
arXiv preprint arXiv:1507.06763, 2015
142015
Adversarial Image Translation: Unrestricted Adversarial Examples in Face Recognition Systems
K Kakizaki, K Yoshida
Proceedings of the AAAI's Workshop on Artificial Intelligence Safety (SafeAI …, 2020
62020
GlassMasq: Adversarial Examples Masquerading in Face Identification Systems with Feature Extractor
K Kakizaki, K Yoshida, T Takahashi
Proceedings of the 17th International Conference on Privacy, Security and …, 2019
32019
Lightweight Lipschitz Margin Training for Certified Defense against Adversarial Examples
H Ono, T Takahashi, K Kakizaki
arXiv preprint arXiv:1811.08080, 2018
12018
Toward Practical Adversarial Attacks on Face Verification Systems
K Kakizaki, T Miyagawa, I Singh, J Sakuma
2021 International Conference of the Biometrics Special Interest Group …, 2021
2021
On Brightness Agnostic Adversarial Examples Against Face Recognition Systems
I Singh, S Momiyama, K Kakizaki, T Araki
2021 International Conference of the Biometrics Special Interest Group …, 2021
2021
Pre-trained model update device, pre-trained model update method, and program
T Takahashi, K Kakizaki
US Patent App. 17/050,583, 2021
2021
Universal Adversarial Spoofing Attacks against Face Recognition
T Amada, SP Liew, K Kakizaki, T Araki
2021 IEEE International Joint Conference on Biometrics (IJCB), 1-7, 2021
2021
Adversarial Robustness for Face Recognition: How to Introduce Ensemble Diversity among Feature Extractors?
T Amada, K Kakizaki, T Araki, SP Liew, J Keshet, J Furukawa
Proceedings of the AAAI's Workshop on Artificial Intelligence Safety (SafeAI …, 2021
2021
Systems and methods for generating and applying a secure statistical classifier
J Furukawa, J Keshet, K Ohara, T Araki, H Tsuchida, T Amada, K Kakizaki, ...
US Patent App. 16/353,046, 2020
2020
カイ二乗検定の幾何的解釈に基づく差分プライバシーの実現
柿崎和也, 福地一斗, 佐久間淳
コンピュータセキュリティシンポジウム 2016 論文集 2016 (2), 1199-1206, 2016
2016
多重仮説検定の差分プライバシー (情報論的学習理論と機械学習)
柿崎和也, 佐久間淳
電子情報通信学会技術研究報告= IEICE technical report: 信学技報 115 (112), 47-54, 2015
2015
Differentially Private Multiple Hypothesis Testing
K Kakizaki, J Sakuma
IEICE Technical Report; IEICE Tech. Rep. 115 (112), 47-54, 2015
2015
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