Balancing Privacy and Accuracy: Exploring the Impact of Data Anonymization on Deep Learning Models in Computer Vision.
Jun Ha LeeSu Jeong YouPublished in: IEEE Access (2024)
Keyphrases
- data anonymization
- learning models
- computer vision
- information loss
- privacy preserving
- machine learning
- privacy protection
- data privacy
- anonymized data
- semi supervised learning
- machine learning algorithms
- loss function
- learning algorithm
- classification models
- learning tasks
- data publishing
- learning problems
- classification accuracy
- object recognition
- privacy preservation
- feature vectors
- differential privacy
- face recognition