TERMon: Detecting Persistent Behavioral Threats in Edge AI via Hardware-Native Ternary Runtime Monitor
TERMon is a lightweight hardware runtime monitor that detects anomalies by observing inference behavior rather than re-executing or formally verifying the model, and represents class-conditional trusted behavior as hardware-efficient ternary patterns that are matched in parallel against a thermometer-encoded fingerprin...
Arish Sateesan, Edlira Dushku
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