Gamma-only trained multilayer perceptron and likelihood classifiers achieve >2.71e4 alpha rejection in BEGe detectors with >80% signal survival and <20% background survival.
Bishop,Pattern Recognition and Machine Learn- ing
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RedShell fine-tunes LLMs on enhanced malicious PowerShell data to produce syntactically valid offensive code for pentesting, reporting over 90% validity, strong semantic match to references, and better edit-distance similarity than prior methods plus functional execution success.
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Pulse shape discrimination for $\alpha$ event rejection in BEGe-type high-purity germanium detectors
Gamma-only trained multilayer perceptron and likelihood classifiers achieve >2.71e4 alpha rejection in BEGe detectors with >80% signal survival and <20% background survival.
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Towards Automated Pentesting with Large Language Models
RedShell fine-tunes LLMs on enhanced malicious PowerShell data to produce syntactically valid offensive code for pentesting, reporting over 90% validity, strong semantic match to references, and better edit-distance similarity than prior methods plus functional execution success.