Ishrith Gowda
1 indexed paper
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126
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Crypto×1AI×1ML×1
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2026
MEMSAD: Gradient-Coupled Anomaly Detection for Memory Poisoning in Retrieval-Augmented Agents
The paper introduces MEMSAD, a gradient-coupled defense mechanism that provides certified anomaly detection against memory poisoning attacks in retrieval-augmented LLM agents, achieving perfect detection rates against continuous perturbations.
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