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TRYLOCK: Defense-in-Depth Against LLM Jailbreaks via Layered Preference and Representation Engineering

Fuente: arXiv

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Dettagli Bibliografici
Autore principale:	Thornton, Scott
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Cryptography and Security Machine Learning
Accesso online:	Acceder al recurso
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