Private machine learning done right (Ep. 207)

Episode 206 of the Data Science at Home podcast, hosted by Francesco Gadaleta, titled "Private machine learning done right (Ep. 207)" was published on October 25, 2022 and runs 26 minutes.

October 25, 2022 ·26m · Data Science at Home

Summary

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   References Mithril 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

Episode Description