Medoid prototype alignment detects unknown attacks across industrial plants by aligning domain-specific medoid summaries rather than raw samples, yielding 0.843 average accuracy on gas and water system transfers.
Rethinking the learning paradigm for facial expression recognition
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CR 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Medoid Prototype Alignment for Cross-Plant Unknown Attack Detection in Industrial Control Systems
Medoid prototype alignment detects unknown attacks across industrial plants by aligning domain-specific medoid summaries rather than raw samples, yielding 0.843 average accuracy on gas and water system transfers.