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bastionlab

A collection of 3 posts

How Python Data Science Libraries Can Be Hijacked (and What You Can Do About It)
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.

  • Laura Yie
  • Charles Chudant
  • Ophélie Surcouf
Multiple authors Feb 2, 2023 • 9 min read
Jupyter Notebooks Are Not Made for Sensitive Data Science Collaboration
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.

  • Charles Chudant
  • Ophélie Surcouf
  • Daniel Huynh
Multiple authors Jan 26, 2023 • 4 min read
Introducing BastionLab - A simple privacy framework for data science collaboration
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.

  • Daniel Huynh
Daniel Huynh Dec 14, 2022 • 4 min read
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