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How to Secure Machine Learning

How to Secure Machine Learning

image credit: pxhere

When the field of software security was in its infancy 25 years ago, much hullabaloo was made over software vulnerabilities and their associated exploits. Hackers busied themselves exposing and exploiting bugs in everyday systems even as those systems were being rapidly migrated to the Internet. The popular press breathlessly covered each exploit. Nobody really concerned themselves with solving the underlying software engineering and configuration problems since finding and fixing the flood of individual bugs seemed like good progress. This hamster-wheel-like process came to be known as “penetrate and patch.”

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