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.
