Robin Harris, ZDNet; Machine learning as a service: Can privacy be taught?
"Machine learning is one of the hottest disciplines in computer science today. So hot, in fact, that cloud providers are doing a good and rapidly growing business in machine-learning-as-a-service (MLaaS).
But these services come with a caveat: all the training data must be revealed to the service operator. Even if the service operator does not intentionally access the data, someone with nefarious motives may. Or their may be legal reasons to preserve privacy, such as with health data.
In a recent paper, Chiron: Privacy-preserving Machine Learning as a Service Tyler Hunt, of the University of Texas, and others, presents a system that preserves privacy while enabling the use of cloud MLaaS."
Issues and developments related to ethics, information, and technologies, examined in the ethics and intellectual property graduate courses I teach at the University of Pittsburgh School of Computing and Information. My Bloomsbury book "Ethics, Information, and Technology" will be published in Summer 2025. Kip Currier, PhD, JD
Showing posts with label legal reasons for preserving privacy. Show all posts
Showing posts with label legal reasons for preserving privacy. Show all posts
Monday, April 2, 2018
Machine learning as a service: Can privacy be taught?; ZDnet, April 2, 2018
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