Daniel Huynh

Daniel Huynh

CEO & co-founder @ Mithril Security

Daniel Huynh
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Announcing BlindBox, a secure infrastructure tooling to deploy LLMs, available on Confidential containers on Azure Container Instances

We are excited to introduce BlindBox, our latest open-source solution designed to enhance SaaS deployment security. Our tooling enables developers to wrap any Docker image with isolation layers and deploy them inside Confidential Containers.

Charles Chudant
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Jupyter Notebooks Are Not Made for Sensitive Data Science Collaboration

When collaborating remotely on sensitive data, their usually amazing interactivity and flexibility need safeguards, or whole datasets can be extracted in a few lines of code.

Daniel Huynh
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Introducing BastionLab - A simple privacy framework for data science collaboration

BastionLab is a simple privacy framework for data science collaboration. It lets data owners protect the privacy of their datasets and enforces that only privacy-friendly operations are allowed on the data and anonymized outputs are shown to the data scientist.

Daniel Huynh
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Our roadmap to build a simple privacy toolkit for data science collaboration

One year and a half later, Mithril Security’s roadmap has transformed significantly, but our initial goal stayed the same: democratizing privacy in data science.

Daniel Huynh
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Introducing BastionAI, an open-source privacy-friendly AI training framework in Rust

Discover BastionAI, a Rust project for Confidential deep learning training. BastionAI leverages Confidential Computing and Differential Privacy to make AI training between multiple parties more privacy-friendly

Daniel Huynh
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Mithril Security joins the Confidential Computing Consortium

Mithril Security joins the Confidential Computing Consortium to accelerate open-source privacy friendly AI

Daniel Huynh
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Presenting Mithril Cloud, the first Confidential AI as a Service offering

Discover how BlindAI Cloud enables you to deploy and query AI models with privacy, just from 2 lines of Python code. Try our solution with the deployment of a ResNet model.

Daniel Huynh
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Large Language Models and privacy. How can privacy accelerate the adoption of big models

We will see why security and privacy might facilitate the adoption of Large Language Models, as those vast models push towards centralisation, given the complexity of deploying them at scale.

Daniel Huynh
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Insights of porting Hugging Face Rust Tokenizers to WASM

Learn how Rust can be used to port server side logic, like Hugging Face Tokenizers, to the client for security and performance using WASM.

Daniel Huynh
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Build a privacy-by-design voice assistant with BlindAI

Discover how BlindAI can make AI voice assistant privacy-friendly!

Daniel Huynh
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Introducing BlindAI, an open-source privacy-friendly AI deployment in Rust

Discover BlindAI, an open-source solution for privacy-friendly AI deployment in Rust!

Daniel Huynh
Members Public

Confidential medical image analysis with COVID-Net and BlindAI

Deploy medical image analysis with confidentiality thanks to BlindAI