Evaluating the Vulnerability of Deep Learning-based Image Quality Assessment Methods to Adversarial Attacks.
Hanene Brachemi MeftahSid Ahmed FezzaWassim HamidoucheOlivier DéforgesPublished in: EUVIP (2023)
Keyphrases
- deep learning
- image quality
- buffer overflow
- visual quality
- unsupervised feature learning
- unsupervised learning
- high quality
- machine learning
- image data
- deep architectures
- human visual system
- bit rate
- data mining
- mental models
- pattern recognition
- weakly supervised
- learning algorithm
- denoising
- higher order
- training data