Private machine learning done right (Ep. 207) episode artwork

EPISODE · Oct 25, 2022 · 26 MIN

Private machine learning done right (Ep. 207)

from Data Science at Home · host Francesco Gadaleta <frag>

There are many solutions to private machine learning. I am pretty confident when I say that the one we are speaking in this episode is probably one of the most feasible and reliable.I am with Daniel Huynh, CEO of Mithril Security,  a graduate from Ecole Polytechnique with a specialisation in AI and data science. He worked at Microsoft on Privacy Enhancing Technologies under the office of the CTO of Microsoft France. He has written articles on Homomorphic Encryptions with the CKKS explained series (https://blog.openmined.org/ckks-explained-part-1-simple-encoding-and-decoding/). He is now focusing on Confidential Computing at Mithril Security and has written extensive articles on the topic: https://blog.mithrilsecurity.io/. In this show we speak about confidential computing, SGX and private machine learning ReferencesMithril Security: https://www.mithrilsecurity.io/ BindAI GitHub: https://github.com/mithril-security/blindai Use cases for BlindAI:Deploy Transformers models with confidentiality: https://blog.mithrilsecurity.io/transformers-with-confidentiality/Confidential medical image analysis with COVID-Net and BlindAI: https://blog.mithrilsecurity.io/confidential-covidnet-with-blindai/ Build a privacy-by-design voice assistant with BlindAI: https://blog.mithrilsecurity.io/privacy-voice-ai-with-blindai/ Confidential Computing Explained: https://blog.mithrilsecurity.io/confidential-computing-explained-part-1-introduction/ Confidential Computing Consortium: https://confidentialcomputing.io/ Confidential Computing White Papers: https://confidentialcomputing.io/white-papers-reports/ List of Intel processors with Intel SGX:https://www.intel.com/content/www/us/en/support/articles/000028173/processors.html https://github.com/ayeks/SGX-hardware Azure Confidential Computing VMs with SGX:Azure Docs: https://docs.microsoft.com/en-us/azure/confidential-computing/confidential-computing-enclaves How to deploy BlindAI on Azure: https://docs.mithrilsecurity.io/getting-started/cloud-deployment/azure-dcsv3 Confidential Computing 101: https://www.youtube.com/watch?v=77U12Ss38Zc Rust: https://www.rust-lang.org/ ONNX: https://github.com/onnx/onnx Tract, a Rust inference engine for ONNX models: https://github.com/sonos/tract   This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit datascienceathome.substack.com

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Private machine learning done right (Ep. 207)

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There are many solutions to private machine learning. I am pretty confident when I say that the one we are speaking in this episode is probably one of the most feasible and reliable.I am with Daniel Huynh, CEO of Mithril Security,  a graduate from...

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