Ep 54 | Jenny Guanni Qu - Why Most ML Vulnerability Detection Fails | [un]prompted 2026 episode artwork

EPISODE · May 28, 2026 · 12 MIN

Ep 54 | Jenny Guanni Qu - Why Most ML Vulnerability Detection Fails | [un]prompted 2026

from [un]prompted Security Practitioner Con 2026 · host [un]prompted

Day 2 | Stage 2AI Researcher from Pebblebed covers counterintuitive lessons from training on 125K Linux kernel commits. Most obvious ML-based vulnerability detection approaches failed. Why "hard negatives" hurt performance, why subsystem boundaries are where bugs hide, and why average kernel security bug survives 2.1 years undetected. Practical takeaways for building vuln discovery systems.Jenny Guanni Qu is AI Researcher, Pebblebed.Watch on YouTube: https://www.youtube.com/watch?v=93jhfuL-ndo

Day 2 | Stage 2AI Researcher from Pebblebed covers counterintuitive lessons from training on 125K Linux kernel commits. Most obvious ML-based vulnerability detection approaches failed. Why "hard negatives" hurt performance, why subsystem boundaries are where bugs hide, and why average kernel security bug survives 2.1 years undetected. Practical takeaways for building vuln discovery systems.Jenny Guanni Qu is AI Researcher, Pebblebed.Watch on YouTube: https://www.youtube.com/watch?v=93jhfuL-ndo

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Ep 54 | Jenny Guanni Qu - Why Most ML Vulnerability Detection Fails | [un]prompted 2026

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Day 2 | Stage 2AI Researcher from Pebblebed covers counterintuitive lessons from training on 125K Linux kernel commits. Most obvious ML-based vulnerability detection approaches failed. Why "hard negatives" hurt performance, why subsystem boundaries...

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