Authentication With Passports for Deep RF Sensing Model Protection

Summary

AuthRF is a signal-level passport mechanism that enforces access control for RF sensing models by mapping a user-specific passport to phase-compensation weights in the signal processing pipeline. Valid passports produce coherent phase alignment and high-fidelity representations, while invalid or forged passports cause phase distortion that significantly degrades model performance. The authors evaluate AuthRF on six RF sensing tasks using WiFi and radar signals.

Related items

• InfoCutpurse: Decomposing Explanation-Guided Model Extraction on Tabular DataSimilar attack · Arxiv (cs.CR + cs.CL + cs.LG)
• InfoFingerprinting the Dispatchers behind Distributed Model ExtractionSimilar attack · Arxiv (cs.CR + cs.CL + cs.LG)
• InfoModel Extraction of Convolutional Neural Networks with Max-PoolingSimilar attack · OpenAlex (peer-reviewed AI security)
• InfoTrustworthy Distributed Machine Learning in Cloud-Edge-IoT Systems: A Heterogeneity-Aware Survey of Security, Privacy, and RobustnessSimilar attack · Arxiv (cs.CR + cs.CL + cs.LG)
• InfoPreventing Model Extraction in Contextual Linear OptimizationSimilar attack · Arxiv (cs.CR + cs.CL + cs.LG)