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Exposing multiple models trained on the same dataset can dramatically increase privacy leakage, with traditional defenses falling short against this compounded risk.
Current LLM jailbreak evaluations are inadequate, often relying on narrow metrics, necessitating a multi-dimensional framework like Security Cube for comprehensive security assessment.