Trajectory-aware label flipping attacks degrade contrastive mmWave human activity recognition, and a selective contrastive learning defense keeps accuracy above 90% even at 40% poisoned labels.
O’Connor, and Kevin McGuinness
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Securing Contrastive mmWave-based Human Activity Recognition against Adversarial Label Flipping
Trajectory-aware label flipping attacks degrade contrastive mmWave human activity recognition, and a selective contrastive learning defense keeps accuracy above 90% even at 40% poisoned labels.