Privacy Preserving Machine Learning by Daniel Huynh

0:00 Presentation 2:50 Context and cloud data threads 5:15 Confidential Computing (CC) 7:12 Intel SGX 8:40 Enclave 12:19 Azure Attestation Service 13:25 Use cases 14:50 Abdstraction layers for enclaves 15:57 Open enclave SDK 16:27 Lightweight OS + Demo (Graphene SGX) 23:44 Multi-party machine learning 26:50 Q&A 33:26 Homomorphic Encryption (HE) 37:20 CKKS encoder 41:29 Homomorphic Encryption high-level view 42:24 Homomorphic Encryption in practice 45:17 Demo with TenSEAL 50:25 Demo Homomorphic Random Forests 1:01:38 to go beyond 1:02:28 Secure Multi-Party Computing (MPC) 1:07:58 Conclusion https://www.dataflowr.com/modules/pri...

Privacy Preserving Machine Learning by Daniel Huynh

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