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Classical smishing detection models can fail catastrophically under adversarial attacks, while transformer-based models exhibit surprising resilience, challenging assumptions about clean-text performance.
Compact, fine-tuned ASR models can outperform massive multilingual models by 26.9 percentage points in recognizing spontaneous African speech.
