If you’re a regular visitor to this blog, then you know that the use of machine learning and AI technologies rapidly on the rise and has been for a while now. This growth mirrors the increasing use of cloud service environments to leverage mass-scale computing resources.
Large cloud service providers offer ready-made machine learning and AI capabilities, models, and tools that make it easier than ever to build more intelligent applications and data mining scenarios.
But what does this mean for privacy?
Of course, this is a concern for security and privacy professionals that must be addressed. Mining data with machine learning and AI requires staggering quantities of data, and some of that data is bound to be sensitive in nature. On top of this, increasing numbers of regulations mandate data privacy measures for cloud services, making privacy-preserving machine learning techniques all the more critical.