SOURCE-LINKED INTELLIGENCE
LoRango: It Takes Two LoRAs to Unlock Hidden Behaviors in Diffusion Models
Users commonly combine multiple Low-Rank Adaptation (LoRA) adapters to personalize images with different subjects, styles, and visual attributes. Yet inspecting adapters individually does not establish the safety of their composition. We identify and characterize a pair-conditioned attack in text-to-image diffusion: individually useful and benign-appearing adapters redirect image generation when co-loaded with a specifically matched partner, whose identity serves as the trigger. We introduce LoRango to realize this attack through complementary Signature and Payload adapters. The Signature writ
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-22T08:50:30.000Z
First collected: 2026-09-23T04:21:13.910Z. This is not the publication date.