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Bilkent University
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Selective feature encryption in federated learning can maintain model accuracy while drastically reducing privacy risks and computational overhead.
Forget sequence-level probabilities – pinpointing human-centric coding anomalies is a far stronger signal for detecting verbatim memorization in code LLMs.
