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Kazuaki Nakamura

Has grant

Tokyo Rika Daigaku

Japan

Research Interests

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Professors in Japan Professors in Biostatistics Biostatistics professors in Japan

Recent Grants

Grant: Open

Model Inversion Attacks Revealing Training Data of Image Generation AI: Risk Quantification and Defense Method Development

Open Date: 2025-04-01

Close Date: 2030-03-31

Grant: Close

Development of Client-Server-Based Framework for Privacy-Preserving Media Recognition

Open Date: 2017-04-01

Close Date: 2021-03-31

Grant: Close

Visual Concept Modeling of Verbs Based on a Large Scale Set of Tagged Videos Provided by Folksonomy

Open Date: 2014-04-01

Close Date: 2017-03-31

Grant: Close

Development of a Cooking Support System for Measuring, Storing, Retrieving and Recommending Consumption Data of Seasonings

Open Date: 2012-04-01

Close Date: 2014-03-31

Grant: Close

Understanding Human Activity in Kitchen via Food, Tool, and Action Recognition

Open Date: 2012-04-01

Close Date: 2016-03-31

Articles (14)

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2026

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2025

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2023

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2023

Collaborators (2)

Ruben Gonzalez Crespo

Catedrático de Ciencias de la Computación e Inteligencia Artificial

Universidad Internacional de La Rioja

SPAIN

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Enrique Herrera-Viedma

Universidad de Granada

SPAIN

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Kazuaki Nakamura

Research Interests

Make your next move.

Explore related searches

Recent Grants

Articles (14)

Few-Shot Learning of Unconditional Latent Diffusion Models Based on Domain Adaptation and Domain-Independent Latent Space

Handwriting Imitation without Real Training Samples based on Augmented Digital Font Text Images and Test-time Fine-tuning

Unsupervised estimation of tennis players’ fatigue level assuming temporal monotonicity in their fatigue accumulation

Access Control for Diffusion Models by Random Masking the Covariance of Initial Noise Distribution

Detoxification of Poisoned Recognition Models by Fine-Tuning with Out-of-Distribution Samples

Model Extraction Attack and Its Countermeasure for Denoising Diffusion Implicit Models

Reducing Implicit Class Imbalance in Unlabeled Datasets Using Text-Specified Sensitive Attributes

分布外画像に対する出力特性を利用したモデル更新に頑健なLabel-Only Model Extraction Attackの防御

Label-Only Model Inversion Attacks with Query-Free Training of Conditional Diffusion-Based Attack Model

Defense Against Model Inversion Attacks Using a Dummy Recognition Model Trained with Synthetic Samples

Evaluating Homography Error for Accurate Multi-Camera Multi-Object Tracking of Dairy Cows

Detoxification of Unlabeled Dataset: Reducing Implicit Class Imbalance Using Pseudo-Jacobian of GAN’s Generator

Social IoT Approach to Cyber Defense of a Deep-Learning-Based Recognition System in Front of Media Clones Generated by Model Inversion Attack

An Experimental Consideration on Gait Spoofing

Collaborators (2)

Ruben Gonzalez Crespo

Enrique Herrera-Viedma

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