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Transforming malware binaries into images using Hilbert curves and entropy features leads to state-of-the-art detection performance, even in few-shot learning scenarios.
Current LLM-based web agents are vulnerable to prompt-injection attacks, with no reliable defenses against any attack objective, revealing a critical oversight in security evaluations.
