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Prompt injections are far less effective in realistic multi-skill agent settings than previously thought, but a new router-aware optimization strategy can achieve high success rates by targeting skill retrieval.
Attack ensembles optimized for minimum-norm strategies can provide a more accurate and flexible evaluation of adversarial robustness than traditional fixed-budget methods.
