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Label-Budgeted Attribute Inference from Protected Features in Edge-Cloud Split Multimodal LLMs
Edge-cloud split inference runs the early layers of a multimodal large language model (MLLM) on a device and sends intermediate features to a server to complete the task. While keeping raw images local is often perceived as a privacy benefit, an honest-but-curious server can still infer sensitive at
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