3 citations · 5 across the 5 of their papers we have counts for
4 papers · 1 filter
Cross-modal Counterfactual Explanations: Uncovering Decision Factors and Dataset Biases in Subjective Classification
Alina Elena Baia, Andrea Cavallaro
Concept-driven counterfactuals explain decisions of classifiers by altering the model predictions through semantic changes. In this paper, we present a novel approach that leverage…
On the Robustness of Vision-Language Models in Zero-shot Privacy Classification
Alina Elena Baia, Alessio Xompero, Andrea Cavallaro
Automatic systems for document understanding require multimodal models that accurately identify sensitive visual content, even in the presence of image degradations. Instruction-fo…
Image-guided topic modeling for interpretable privacy classification
Alina Elena Baia, Andrea Cavallaro
Predicting and explaining the private information contained in an image in human-understandable terms is a complex and contextual task. This task is challenging even for large lang…
Black-box Attacks on Image Activity Prediction and its Natural Language Explanations
Alina Elena Baia, Valentina Poggioni, Andrea Cavallaro
Explainable AI (XAI) methods aim to describe the decision process of deep neural networks. Early XAI methods produced visual explanations, whereas more recent techniques generate m…