security-classifier

#security-classifier

One encoder, seven heads: what we learned training a unified security classifier with masked losses [P]

Reddit r/MachineLearning ↗ · 2026-07-22

They released a unified multi-head security classifier (mmBERT-small encoder with seven heads) using masked losses for absent task labels, achieving high F1 scores across seven tasks, and also released quantized ONNX INT8 variants. Weights and metrics are public.

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#security-classifier

@FinanceYF5: In April, Anthropic released Mythos Preview. Working with 50 organizations, they uncovered over 10,000 critical vulnerabilities, causing cybersecurity stocks to plummet. It was too powerful to release. Two months later, after adding a safety classifier, it's finally available to everyone today under the name Fable 5.

X AI KOLs Following ↗ · 2026-06-10 Cached

Anthropic released the Mythos Preview in April, collaborating with 50 organizations to uncover over 10,000 critical vulnerabilities, which led to a sharp decline in cybersecurity stocks. After adding a safety classifier two months later, it is now officially released as Fable 5 for everyone.

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security-classifier

One encoder, seven heads: what we learned training a unified security classifier with masked losses [P]

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