1 citations · 1 across the 7 of their papers we have counts for
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ContextBias: Controlled Evaluation of Bias Persistence Under Context Shift in Text-to-Image Models
Shaghayegh Kolli, Sina Emami, Moreno D'Incà +4
Text-to-image models learn associations between concepts - in the case of this paper, people's professions, which we refer to as roles - and visual attributes. These associations c…
Harnessing Textual Refusal Directions for Multimodal Safety
Moreno D'Incà, Nicu Sebe, Massimiliano Mancini
Safety in Multimodal Large Language Models (MLLMs) depends on unsafe multimodal data for post-training alignment or activation steering. However, such data is hard to collect, must…
Metonymy in vision models undermines attention-based interpretability
Ananthu Aniraj, Cassio F. Dantas, Dino Ienco +2
Part-based reasoning is a classical strategy to make a computer vision model directly focus on the object parts that are relevant to the downstream task. In the context of deep lea…