Model forensics offers a taxonomy of techniques for verifying AI model authenticity and detecting malicious functions in wireless networks, with concrete workflows shown in an RF fingerprinting case study to support anomaly assessment and provenance tracing.
The model inversion eaves- dropping attack in semantic communication systems,
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Model Forensics in AI-Native Wireless Networks: Taxonomy, Applications, and Case Study
Model forensics offers a taxonomy of techniques for verifying AI model authenticity and detecting malicious functions in wireless networks, with concrete workflows shown in an RF fingerprinting case study to support anomaly assessment and provenance tracing.