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20242026
most citedAPT-LLM: Embedding-Based Anomaly Detection of Cyber Advanced Persistent Threats Using Large Language Models

1 citations · 1 across the 5 of their papers we have counts for

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cs.LG2026

A Source Domain is All You Need: Source-Only Cross-OS Transfer Learning for APT Anomaly Detection via Semantic Alignment and Optimal Transport

Sidahmed Benabderrahmanea, Petko Valtchev, James Cheney +1

Advanced Persistent Threats (APTs) are stealthy, multi-stage cyberattacks whose detection is difficult due to scarce labeled traces, severe class imbalance, and the challenge of ge…

cs.LG2026

Refining Decision Boundaries In Anomaly Detection Using Similarity Search Within the Feature Space

Sidahmed Benabderrahmane, Petko Valtchev, James Cheney +1

Detecting rare and diverse anomalies in highly imbalanced datasets-such as Advanced Persistent Threats (APTs) in cybersecurity-remains a fundamental challenge for machine learning…