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An attacker that learns: why a defence has to hold when the attack adapts

Many published defences against hidden commands look strong against a fixed list of attacks and collapse when the attacker adapts. We tested our correction, which lives in the model's weights, on the public agent benchmark and against a second model that rewrites its attack after every failure. The numbers, what still gets through, and why adaptive testing should be the standard.