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Malicious actors can stealthily embed architectural backdoors in VLMs, compromising their integrity while keeping normal functionality intact.
Modeling prompt embeddings in hyperbolic space enables lightweight, geometry-aware detection of harmful VLM prompts that outperforms existing defenses.
