Privacy-Preserving Emotion Detection: Evaluating the Trade-Off Between K-Anonymity and Model Performance
In the realm of artificial intelligence, the pursuit of enhanced model performance has often prioritized the exponential growth of training data, sometimes relegating concerns about data privacy. This approach has fostered a perception that data privacy and the achievement of high-performance AI mod...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11031447/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|