rust Rust: How We Built a Privacy Framework for Data Science We could have built our privacy framework BastionLab in any language - Python for example which is data science’s beloved. But we chose Rust because of its efficiency and security features. Here are the reasons why we loved doing so, but also some challenges we encountered along the way.
Privacy Enhancing Technologies Featured Data Science: The Short Guide to Privacy Technologies If you’re wondering what the benefits and weaknesses of differential privacy, confidential computing, federated learning, etc are, and how they can be combined to improve artificial intelligence and data privacy, you’ve come to the right place.
bastionlab How Python Data Science Libraries Can Be Hijacked (and What You Can Do About It) Hackers can easily hijack the data science libraries you use everyday and get full access to the datasets you are working with. Data owners need tools to prevent it from happening.
bastionlab 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.
bastionlab Featured 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.
blindai Featured 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.
blindai 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.
blindai Build a privacy-by-design voice assistant with BlindAI Discover how BlindAI can make AI voice assistant privacy-friendly!
blindai Featured Introducing BlindAI, an open-source privacy-friendly AI deployment in Rust Discover BlindAI, an open-source solution for privacy-friendly AI deployment in Rust!
regulation What to expect from the EU AI Regulation? A view on the key upcoming EU regulations, and how these are likely to affect data and AI industry practices.
Privacy Enhancing Technologies Confidential computing explained. Part 3: data in use protection Deep dive into the data-in-use protection mechanisms of secure enclaves
blindai Featured Deploy Transformers models with confidentiality Learn how to deploy Transformers models, with privacy guarantees thanks to Confidential Computing!
Privacy Enhancing Technologies Confidential computing explained. Part 2 : attestation An introduction to remote attestation, which is the key to trust a remote enclave.
