privacy 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.
privacy 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 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.
