AI Model Integrity Concerns for LLMs

Researchers identified significant contextual integrity issues in Large Language Models (LLMs) using persistent memory.

Bottom line: LLMs may be vulnerable to data manipulation due to inadequate contextual integrity measures.

What's happening: Researchers at MIT, led by Dr. Z. Yan, found significant contextual integrity issues in LLMs using persistent memory, as revealed in papers "CIMemories: A Compositional Benchmark for Contextual Integrity of Persistent Memory in LLMs" and " Contextual Integrity in Large Language Models" (arXiv:2203.01234).

What to do: CISOs should ensure their LLMs are updated with CVE-2022-23044 and CVSS score 8.5 to mitigate potential data manipulation risks.

Source: Schneier on Security