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Backdoor detection just got a major upgrade鈥擠istScan identifies attacks by analyzing shifts in prediction distributions, achieving a 27.32% accuracy boost over existing methods.
Learning from user interactions, AgentAntibody evolves to effectively defend LLM agents against prompt injection, outperforming static defenses.
Malicious changes can evade detection by up to 22% when interleaved with benign alterations, challenging the reliability of LLM-based code auditors in real-world scenarios.
