SAGE: Efficient Protected Vision-Language Inference on Smart Glasses
Smart glasses are a promising platform for vision-language assistants, but private split inference remains expensive: protecting visual representations before transmission does not remove the cost of on-device vision encoding, wide protected tokens, or hardware-unaware execution. We present SAGE (Smart-glasses-Aware Guarded Encoding), a hardware-aware framework for efficient protected VLM inference on smart glasses. SAGE keeps raw images and unprotected visual tokens on the trusted device, reduces visual input cost, executes shape-specialized INT8 graphs, and compresses protected representations into compact 256-dimensional INT8 packets before transmission. Unlike efficiency methods optim...
| Authors | Zhimin Li, Pan Wang, Jingxian Chen et al. |
|---|---|
| Primary category | cs.CR |
| Published | 8 October 2026 |
| Last updated at source | 8 October 2026 |
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