Chaeri Jung
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126
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2026
DRIFT: Drift-Resilient Invariant-Feature Transformer for DGA Detection
The paper proposes DRIFT, a drift-resilient Transformer framework that maintains high accuracy in detecting evolving Domain Generation Algorithms (DGAs) by learning invariant representations.
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