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Which private attributes do VLMs agree on and predict well?
Olena Hrynenko, Darya Baranouskaya, Alina Elena Baia +1
Visual Language Models (VLMs) are often used for zero-shot detection of visual attributes in the image. We present a zero-shot evaluation of open-source VLMs for privacy-related at…
PrivLEX: Detecting legal concepts in images through Vision-Language Models
Darya Baranouskaya, Andrea Cavallaro
We present PrivLEX, a novel image privacy classifier that grounds its decisions in legally defined personal data concepts. PrivLEX is the first interpretable privacy classifier ali…
The impact of abstract and object tags on image privacy classification
Darya Baranouskaya, Andrea Cavallaro
Object tags denote concrete entities and are central to many computer vision tasks, whereas abstract tags capture higher-level information, which is relevant for tasks that require…
Human-interpretable and deep features for image privacy classification
Darya Baranouskaya, Andrea Cavallaro
Privacy is a complex, subjective and contextual concept that is difficult to define. Therefore, the annotation of images to train privacy classifiers is a challenging task. In this…