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IEEE/ICACT20260019 Slide.17        [Big Slide]       [YouTube]	Oral Presentation
	Decision Tree (DT) delivers the lowest per-sample latency but sacrifices robustness compared to ensemble methods. Random Forest (RF) achieves perfect detection performance while maintaining deployable latency on SmartNIC-class hardware. K-Nearest Neighbors (KNN), despite high accuracy, exhibits prohibitively high inference latency, making it unsuitable for real-time deployment.

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