Sinem Sav
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2026
SERSEM: Selective Entropy-Weighted Scoring for Membership Inference in Code Language Models
SERSEM introduces a selective entropy-weighted scoring framework to significantly improve Membership Inference Attacks (MIAs) against code LLMs by focusing on human-centric coding anomalies rather than general sequence probabilities.
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cs.SEcs.CRRecentApr 1, 2026
SERSEM: Selective Entropy-Weighted Scoring for Membership Inference in Code Language Models
Kıvanç Kuzey Dikici, Serdar Kara, Semih Çağlar, Eray Tüzün +1 more
SERSEM introduces a selective entropy-weighted scoring framework to significantly improve Membership Inference Attacks (MIAs) against code LLMs by focusing on human-centric coding anomalies rather tha…
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