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Attack ensembles optimized for minimum-norm strategies can provide a more accurate and flexible evaluation of adversarial robustness than traditional fixed-budget methods.
Functional memorization in code generation reveals that LLMs can replicate logic without textual similarity, challenging traditional auditing methods.
