In medical applications, machine learning often grapples with limited training data. Classical
self-supervised deep learning techniques have been helpful in this domain, but these …

Obfuscation techniques (eg, blurring) are employed to protect sensitive information (SI) in
images such as individuals' faces. Recent works demonstrated that adversaries can perform …

Generally, privacy-enhancing face recognition systems are designed to offer permanent
protection of face embeddings. Recently, so-called soft-biometric privacy-enhancement …

Due to the success observed in deep neural networks with contrastive learning, there has
been a notable surge in research interest in graph contrastive learning, primarily attributed …

Unsupervised pre-training is a common step in developing computer vision models and
large language models. In this setting, the absence of labels requires the use of similarity …

Image obfuscation techniques (eg, pixelation, blurring and masking,...) have been
developed to protect sensitive information in images (eg individuals' faces). In a previous …