Researchers Identify Vulnerabilities in Widely Used Open-Source Machine Learning Frameworks
Security Vulnerabilities Discovered in Popular Machine Learning Tools Recent findings by cybersecurity researchers have unveiled multiple critical vulnerabilities within open-source machine learning frameworks such as MLflow, H2O, PyTorch, and MLeap. These weaknesses could potentially allow unauthorized code execution, posing significant security risks to organizations leveraging these tools. The vulnerabilities, initially…