Author

G. Feretzakis

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#machine learning Preprint Sep 2026

The Price of Peeking: Anytime-Valid Leakage Detection on ML-KEM EM Traces

Side-channel evaluators routinely inspect leakage tests while acquisition is still running, and extend or stop the campaign based on what they see. Fixed-horizon screening such as the Welch $t$-test with threshold $|t|>4.5$ gives no error guarantee for this monitored decision rule. We study anytime-valid leakage detect...

G. Feretzakis, Alexandros Papaspyridis · 0 citations

Open access Jul 2026

Leveraging Transformer Embeddings for Real-Time Discovery of Malicious URL Campaigns in the Generative-AI Threat Era

A unified, deployable framework for real-time campaign discovery that converts raw URL streams into dense Sentence-BERT embeddings and couples approximate nearest neighbor search with online density-based clustering, discovering emerging campaigns without prior knowledge of their number or shape.

G. Feretzakis, Dimitrios Karapiperis, S. Mitropoulos · Information · 0 citations