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Massimiliano Mancini

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#computer vision Preprint Aug 2026

ContextBias: Controlled Evaluation of Bias Persistence Under Context Shift in Text-to-Image Models

Evaluating four state-of-the-art models finds that placing a role in a semantically unrelated context does not suppress role-linked attributes; instead, cross-role attribute concentration increases (pooled BI $+0.047$).

Shaghayegh Kolli, S. Emami, Moreno D'Incà et al. · 0 citations

Jun 2026

Harnessing Textual Refusal Directions for Multimodal Safety

Modality-Agnostic Refusal Steering (MARS), a light-weight training-free approach that injects multimodal safety without the need for multimodal safety data, achieves consistent safety gains while preserving utility.

Moreno D'Incà, Massimiliano Mancini, N. Sebe · arXiv.org · 0 citations