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data protection

A collection of 4 posts
Rust: How We Built a Privacy Framework for Data Science
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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.
Mar 6, 2023 — 8 min read
How Python Data Science Libraries Can Be Hijacked (and What You Can Do About It)
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.
Feb 2, 2023 — 9 min read
Introducing BastionLab - A simple privacy framework for data science collaboration
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.
Dec 14, 2022 — 4 min read
Confidential computing explained. Part 3: data in use protection
Privacy Enhancing Technologies

Confidential computing explained. Part 3: data in use protection

Deep dive into the data-in-use protection mechanisms of secure enclaves
Mar 7, 2022 — 7 min read
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