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Self-evolving LLMs can amplify adversarial threats, making every known attack lineage-persistent and exposing critical vulnerabilities that static defenses can't address.
Over 80% of real-world LLM applications leak sensitive prompts, but a new defense, AREA, not only mitigates this risk but also boosts usability by over 33%.
FLAME uncovers a hidden statistical energy gap in AI-generated images, enabling precise localization of forgeries that traditional methods miss.
