Private AI: Machine Learning on Encrypted Data [Keynote]
- Kristin Lauter | Microsoft Research
As the world adopts Artificial Intelligence, the privacy risks are many. AI can improve our lives, but may leak or misuse our private data. Private AI is based on Homomorphic Encryption (HE), a new encryption paradigm which allows the cloud to operate on private data in encrypted form, without ever decrypting it, enabling private training and private prediction. This talk will explain Homomorphic Encryption and show demos of HE in action.
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Kristin Lauter
Principal Researcher and Partner Research Manager
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