A group of cybersecurity analysts have revealed nearly twenty security vulnerabilities across fifteen distinct open-source initiatives connected with machine learning (ML).
These entail weaknesses identified on both the back-end and front-end, as indicated by findings from software integrity specialists JFrog provided in a report issued recently.
The vulnerabilities on the back-end “enable unauthorized individuals to seize control of critical servers in the
These entail weaknesses identified on both the back-end and front-end, as indicated by findings from software integrity specialists JFrog provided in a report issued recently.
The vulnerabilities on the back-end “enable unauthorized individuals to seize control of critical servers in the
