SMSR: Certified Defence Against Runtime Memory Poisoning in Persistent LLM Agent Systems
Retrieval-augmented generation (RAG) agents increasingly run with persistent memory that accumulates across user sessions. This creates a new attack surface: an adversary interacting only through normal channels can inject crafted memories that, once retrieved, steer the agent's responses for future users, without touching model weights or code. We call this Multi-Session Memory Poisoning (MSMP) and show that no existing defence certifies against it; static-corpus defences (RobustRAG, ReliabilityRAG) assume a fixed knowledge base, and heuristic filters are bypassed by fluent enterprise-style text. We present Signed Memory with Smoothed Retrieval (SMSR), the first defence with a certified ...
| Authors | Tarun Sharma |
|---|---|
| Primary category | cs.CR |
| Published | 10 June 2026 |
| Last updated at source | 10 June 2026 |
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