Current few-shot learning research often assumes predefined task configurations and evaluates under fixed N-way K-shot settings. In realistic deployments, the target configuration is unknown at ...
Phishing attacks continue to evolve rapidly, with new campaigns emerging faster than traditional detection systems can adapt. Existing machine learning approaches require extensive labeled datasets, ...
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