Generating Labeled Multiple Attribute Trajectory Data With Selective Partial Anonymization Based on Exceptional Conditional Generative Adversarial Network-Reference-Cited by-同舟云学术

Generating Labeled Multiple Attribute Trajectory Data With Selective Partial Anonymization Based on Exceptional Conditional Generative Adversarial Network

Published:2023 Issue: Volume:11 Page:117190-117199
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Song Yeji¹,Shin Jihwan²,Ahn Jinhyun³^ORCID,Lee Taewhi⁴,Im Dong-Hyuk⁵^ORCID

Affiliation:

1. Department of Artificial Intelligence Convergence, Kwangwoon University, Seoul, South Korea

2. Department of Artificial Intelligence Applications, Kwangwoon University, Seoul, South Korea

3. Department of Management Information Systems, Jeju National University, Jeju, South Korea

4. Smart Data Research Section, Electronics and Telecommunications Research Institute, Daejeon, South Korea

5. School of Information Convergence, Kwangwoon University, Seoul, South Korea

Funder

Ministry of Science and ICT, South Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10288457.pdf?arnumber=10288457

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3. Differential Privacy for IoT-Enabled Critical Infrastructure: A Comprehensive Survey

4. Differential privacy in blockchain technology: A futuristic approach

5. Locating Objects Without Bounding Boxes

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