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As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...
Traditionally, companies have relied upon data masking, sometimes called de-identification, to protect data privacy. The basic idea is to remove all personally identifiable information (PII) from each ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
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The company’s new TensorFlow Privacy module lets devs safeguard data with differential privacy The company’s new TensorFlow Privacy module lets devs safeguard ...
Apple is stepping up its artificial intelligence efforts in a bid to keep pace with rivals who have been driving full-throttle down a machine learning-powered AI superhighway, thanks to their liberal ...
The National Institute of Standards and Technology (NIST) has finalized its guidelines for evaluating differential privacy to help organizations share and analyze large datasets while protecting ...