Hugging Face Trending Papers
InjecMEM: Memory Injection Attack on LLM Agent Memory Systems
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arXiv AI
Aug 25
InjecMEM: Memory Injection Attack on LLM Agent Memory Systems
InjecMEM introduces a memory injection attack that can steer the responses of large language model agents toward a desired output using only a single interaction, without needing read or edit access to the memory store. The attack leverages the retrieval‑then‑generate workflow of memory systems by crafting a retriever‑agnostic anchor with high‑recall topical cues and an adversarial command optimized through gradient‑based coordinate search. Experiments across various memory systems and backbone models show that InjecMEM reliably induces topic‑conditioned retrieval and targeted generation, remains effective even when memory drifts, and does not affect non‑target queries.
arXiv AI
Jun 30
Memory as an Attack Surface in LLM Agents: A Study on Multiple-Choice Question Answering
arXiv:2606. 29030v1 Announce Type: new Abstract: AI agents extend conventional large language model (LLM) applications by integrating language understanding with task execution, external tool use, and memory mechanisms.
arXiv AI
Jun 6
Beyond Similarity: Trustworthy Memory Search for Personal AI Agents
arXiv:2606. 06054v1 Announce Type: new Abstract: Personal AI agents increasingly rely on long-term memory to provide persistent personalization across sessions.
arXiv AI
Jun 16
FragFuse: Bypassing Access Control of Large Language Model Agents via Memory-Based Query Fragmentation and Fusion
arXiv:2606. 15609v1 Announce Type: cross Abstract: Large language model (LLM) agents increasingly rely on long-term memory to support complex task execution, user personalization, and domain adaptation.
arXiv Machine Learning
Jun 10
MemVenom: Triggered Poisoning of Multimodal Memories in Web Agents
arXiv:2606. 10742v1 Announce Type: cross Abstract: External memory has become a core component of modern web agents, enabling long-horizon reasoning through the retrieval of past experiences.
Hugging Face Trending Papers
6d ago
From Attack Success to Attack Severity: Counterfactual Memory Attacks on LLM Agents
As LLM agents increasingly rely on persistent memory for long-horizon and personalized behavior, they can retain and reuse information across interactions, but this also creates a lasting channel thro...