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Vision foundation models are surprisingly brittle: common image edits can drastically alter their embeddings and tank downstream performance.
VLMs can be backdoored to inject stealthy, context-aware advertisements triggered by natural user behaviors, and current defenses struggle to remove them without breaking the model.
