Expert Insights: How to Protect Sensitive Machine Learning Training Data Without Getting Bored

Expert Insights: How to Protect Sensitive Machine Learning Training Data Without Getting Bored

Previous columns in this series have introduced the problem of data protection in machine learning (ML), highlighting the real challenge posed by operational query data. That is, when you use an ML system, you’re likely facing more data exposure risks than when you train one in the first place. By my rough estimate, data accounts …

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