<ul><li>A new report from JFrog Ltd. highlights critical security flaws in machine learning platforms.</li><li>The report reveals vulnerabilities in open-source machine learning projects, focusing on server-side risks.</li><li>Specific vulnerabilities include directory traversal and improper access control issues in various platforms.</li><li>The report warns that these vulnerabilities can lead to unauthorized access and compromise the integrity of models.</li></ul>

JFrog report highlights critical security flaws in machine learning platforms

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