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

Author:

Khosravy Mahdi1ORCID,Nakamura Kazuaki2ORCID,Nitta Naoko3,Dey Nilanjan4ORCID,González Crespo Rubén5ORCID,Herrera-Viedma Enrique6ORCID,Babaguchi Noboru7

Affiliation:

1. Cross Labs, Cross Compass Ltd., Tokyo, Japan

2. Department of Information and Computer Technology, Faculty of Engineering, Tokyo University of Science, Tokyo, Japan

3. Department of Informatics and Mediology, School of Human Environmental Sciences, Mukogawa Women’s University, Hyogo, Japan

4. Department of Computer Science and Engineering, Techno International New Town, Kolkata, India

5. Department of Computer Science, Faculty of Engineering, International University of La Rioja, La Rioja, Spain

6. Andalusian Research Institute on Data Science and Computational Intelligence, University of Granada, Granada, Spain

7. Institute for Datability Science, Osaka University, Suita, Japan

Funder

Japan Society and Technology Agency (JST) CREST

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering,Software

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Unraveling Attacks to Machine-Learning-Based IoT Systems: A Survey and the Open Libraries Behind Them;IEEE Internet of Things Journal;2024-06-01

2. Human-Collaborative Artificial Intelligence Along With Social Values in Industry 5.0: A Survey of the State-of-the-Art;IEEE Transactions on Cognitive and Developmental Systems;2024-02

3. Genetic Algorithm Applications to Power Management;Springer Tracts in Nature-Inspired Computing;2024

4. Mating in Genetic Algorithm with Application in System Identification;Springer Tracts in Nature-Inspired Computing;2024

5. Genetic Algorithms: A Technical Implementation of Natural Evolution;Springer Tracts in Nature-Inspired Computing;2024

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