Privacy Protection and Reliable Evaluation in Multimodal AI
Paola Cascante-Bonilla · Stony Brook University
Tue, Oct 20, 2026 · 18:00 UTC
Multimodal large language models perform well on many visual and textual reasoning tasks, but assistive applications expose concerns about privacy and reliable real-world evaluation. This talk examines document understanding and spatial reasoning in three-dimensional environments. An agentic privacy-protection method masks personal information selectively while preserving visual context needed for question answering. SceneCritic, a symbolic evaluator, applies explicit spatial heuristics to test the semantic and geometric consistency of generated indoor layouts. Together, these projects investi