Kazuya Kakizaki

Orcid: 0009-0006-7205-2100

According to our database1, Kazuya Kakizaki authored at least 16 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Prompt Tuning for Audio Deepfake Detection: Computationally Efficient Test-time Domain Adaptation with Limited Target Dataset.
CoRR, 2024

Outsmarting Biometric Imposters: Enhancing Iris-Recognition System Security through Physical Adversarial Example Generation and PAD Fine-Tuning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Simultaneous Adversarial Attacks On Multiple Face Recognition System Components.
CoRR, 2023

Certified Defense for Content Based Image Retrieval.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Advancing Deep Metric Learning With Adversarial Robustness.
Proceedings of the Asian Conference on Machine Learning, 2023

2022
Advancing Deep Metric Learning Through Multiple Batch Norms And Multi-Targeted Adversarial Examples.
CoRR, 2022

Powerful Physical Adversarial Examples Against Practical Face Recognition Systems.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022

2021
Universal Adversarial Spoofing Attacks against Face Recognition.
Proceedings of the International IEEE Joint Conference on Biometrics, 2021

On Brightness Agnostic Adversarial Examples Against Face Recognition Systems.
Proceedings of the 20th International Conference of the Biometrics Special Interest Group, 2021

Toward Practical Adversarial Attacks on Face Verification Systems.
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?
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.
Proceedings of the Workshop on Artificial Intelligence Safety, 2020

2019
GlassMasq: Adversarial Examples Masquerading in Face Identification Systems with Feature Extractor.
Proceedings of the 17th International Conference on Privacy, Security and Trust, 2019

2018
Lightweight Lipschitz Margin Training for Certified Defense against Adversarial Examples.
CoRR, 2018

2017
Differentially Private Chi-squared Test by Unit Circle Mechanism.
Proceedings of the 34th International Conference on Machine Learning, 2017

2015
Differentially Private Analysis of Outliers.
CoRR, 2015


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