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Evasive malware variants generated by PhantomCall can maintain malicious behavior while bypassing state-of-the-art detectors with unprecedented efficiency.
ChronoMem allows LLM agents to seamlessly roll back their memory states, dramatically enhancing their ability to handle corrections and evolving information.
Adversarially training your drift-adaptive malware detector on the wrong data (source vs. target) can actually *increase* its vulnerability to certain attacks, revealing a surprising interaction between domain adaptation and adversarial robustness.