Multiple critical flaws in the infrastructure supporting AI models have been uncovered by researchers, which raise the risk of server takeover, theft of sensitive information, model poisoning, and unauthorized access.
Affected are platforms that are essential for hosting and deploying large language models, including Ray, MLflow, ModelDB, and H20. While some vulnerabilities have been addressed, others have not received a patch.
Researchers discovered a wide range of
Read more
Tags: AI, language models, risk, AI Tool, Tool, Code, Large Language Models, infrastructure, vulnerabilities, and, Language, access, AI models, Patch, Vulnerability
Related Posts
- Unpatched Critical Vulnerabilities Open AI Models to Takeovera
- The World Is Running Out of Data to Feed AI, Experts Warna
- Researchers warn we could run out of data to train AI by 2026. What then?a
- How Far Have We Gone in Vulnerability Detection Using Large Language Models. (arXiv:2311.12420v1 [cs.AI])a
- Using ChatGPT to cheat on assignments? New tool detects AI-generated text with amazing accuracya