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Privacy Enhancing Technologies

Exploring new and developed cryptographic techniques that aid data privacy

While the term is not new to many working in the area of data privacy, there is still a great deal to learn around the transparency, accountability, and assurance that PETs offer.

PETs are based on cryptographic and statistical techniques, and while there is currently no universally accepted definition of which technologies and governance methods constitute a PET, the three main methods are data-shielding, data-altering, and computation-altering.

Privacy Enhancing Technologies Workshop

During December 2021 Meta’s Privacy & Data Public Policy Team and external privacy experts from academia, industry and elsewhere workshopped some of the issues around PETs.

While the term is not new to many working in the area of data privacy, there is still a great deal to learn around the transparency, accountability, and assurance that PETs offer. PETs are based on cryptographic and statistical techniques, and while there is currently no universally accepted definition of which technologies and governance methods constitute a PET, the three main methods are data-shielding, data-altering, and computation-altering.

The Data Dialogue was a mixture of talks and interactive workshops. Each aimed to tease out some of the tensions between the value of data and ensuring users are protected. This was done around two hypothetical scenarios involving a train company and a dating app.

There were a number of thought-provoking takeaways from the session, especially around how sensitive data can deliver the highest value when planning a new train service, but also the most risk when using it. In the coming months, the participants will continue to look at how PETs can be used, which we will cover in future issues of this newsletter.

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Privacy Enhancing Technology - January Newsletter

In our first issue of 2022 we delve deeper into the world of Privacy Enhancing Technologies, otherwise known as PETs.

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Privacy-Enhancing Technologies: Data Innovation and Design Considerations

If you're working on data and privacy issues it’s likely that you will have at least heard the term “privacy-enhancing technologies” (PETs), even if you don’t have an in-depth understanding of the technologies themselves. Read this article to learn more about Meta's approach to PETs and some of the challenging questions in this space which industry is working together to solve.

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Expert Interview: Alex Pompe on Data for Good & PETs

This is the first in a new series of interviews with privacy experts which we’ll be sharing on the TTC Labs website. The interviews will cover a range of topics at the intersection of privacy and design. Our first interviewee is Alex Pompe, Public Policy Research Manager, Data for Good at Meta. The interview was conducted in November 2021 by Denise Butler, Privacy Policy Manager at Meta. Our thanks to both Alex and Denise.

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How can companies help people understand privacy-enhancing technologies like on-device learning?

Privacy-enhancing technologies such as “on-device learning” can protect people’s privacy but can be complex and challenging to understand. We interviewed privacy experts and non-experts to learn how we might better communicate about these kinds of technologies, with a focus on on-device learning.

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With a lot more work to do in this space, TTC Labs is exploring ways that Privacy Enhancing Technologies...

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