Universal adversarial trigger attacks are easy to detect because the learned trigger tokens tend to be nonsensical.

Added to korrents 20 Sept 2026 · How quotes work · Something wrong? Tell us

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• If whole categories of reward hack are undetectable by humans, then training against the hacks we do catch teaches models to cheat only where we cannot see. RGRyan Greenblatt11 Aug 2026
• Higher-perplexity adversarial attack text is easier to detect and mitigate. LWLilian Weng25 Oct 2023
• Prompt injection can be caught by watching the neurons that fire when it happens, so a defence no longer depends on the model reporting the attack. BCBoris Cherny27 Jul 2026
• AI has passed nearly every human at finding security vulnerabilities, because the work is chaining together small flaws that are harmless on their own. DHDavid Heinemeier Hansson26 Aug 2026
• An adversarial GAN loss should only supplement a larger unsupervised or semi-supervised generative model rather than stand alone as a primary approach. GWGwern4 Feb 2021

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