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Jaewon Chang

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#artificial intelligence Preprint Oct 2026

SecPO: Principled Adversarial Training for Prompt Injection Security

An idealized reference model---an injection-invariant, utility-preserving oracle---can nevertheless be approximated, as its output distribution in training is interestingly accessible, which motivates a theoretically principled SecPO loss.

Si-Zhe Chen, Yi-Bo Peng, Jaewon Chang et al. · 1 citation

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