Balancing Privacy and Accuracy: Exploring the Impact of Data Anonymization on Deep Learning Models in Computer Vision-Reference-Cited by-同舟云学术

Balancing Privacy and Accuracy: Exploring the Impact of Data Anonymization on Deep Learning Models in Computer Vision

Published:2024 Issue: Volume:12 Page:8346-8358
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Lee Jun Ha¹^ORCID,You Su Jeong¹^ORCID

Affiliation:

1. AI Robot Research and Development Department, Korea Institute of Industrial Technology, Sangnok-gu, Ansan-si, South Korea

Funder

Institute of Information and Communication Planning and Evaluation (IITP) Grant

Korean Government [Ministry of Science and ICT (MSIT)], Development of Personal Information Processing Technology for Data Collection/Utilization for Autonomous Driving

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10387326.pdf?arnumber=10387326

Reference73 articles.

1. Deep Residual Learning for Image Recognition

2. Effects of dataset size and interactions on the prediction performance of logistic regression and deep learning models

3. Impact of Dataset Size on Classification Performance: An Empirical Evaluation in the Medical Domain

Cited by 5 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. A New License Plate De-Identification Method for Indoor Parking Lot Datasets;Journal of Electrical Engineering & Technology;2024-08-30

2. The METRIC-framework for assessing data quality for trustworthy AI in medicine: a systematic review;npj Digital Medicine;2024-08-03

3. An Advanced Approach to Object Detection and Tracking in Robotics and Autonomous Vehicles Using YOLOv8 and LiDAR Data Fusion;Electronics;2024-06-07

4. You Only Look Once (YOLOv8) Based Intrusion Detection System for Physical Security and Surveillance;2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO);2024-03-14

5. Towards Robust Road Quality Detection Using Different Detection Models;IFIP Advances in Information and Communication Technology;2024