Hi there,

With July already upon us, it is more than time to revive this newsletter. This month, we delved into important topics such as anonymization and the development of privacy-enhancing technologies. We’re also launching a series of interviews with data experts, that, we hope, you’ll find of interest! Lastly, we’ve put together a selection of relevant news and discussions from the privacy community.

Happy reading!

The Statice team

Statice Stories

How “anonymous” is anonymized data?

For all the discussion around it, do we really know what anonymized data is? And are we sure that data that many claims “anonymized”, truly is anonymous? 

Read more on the blog

4 questions with MScience's Head of Data Acquisition

We kicked off our series of interviews with 4 questions to Sunaina Swaminathan, a data expert who told us more about her work with anonymized consumer transaction data.

Discover the interview

Privacy Enhancing Technologies

Have you heard of Privacy Enhancing Technologies (PETs)? We wrote about this heterogeneous category of privacy tech and some of its promising applications.

Read more on the blog

On privacy matters

Personal data anonymization: key concepts & how it affects machine learning models

Consultancy company Tryolab published an in-depth piece about data anonymization techniques. It's got everything you need to know about the different methods and models of data anonymization.
Read more

Privacy-preserving A.I. is the future of A.I.

This month, Fortune takes a look at the application of machine learning in a privacy-preserving context. The authors reflect on the possible applications and methods to protect individuals’ privacy in AI systems.
Read more

When fake is good news: synthetic data enabling usage and privacy

Day 2 of the Transparency by Design Summit was opened with a keynote from Vince Madai, Senior Medical AI Researcher at Charité Berlin on the topic of synthetic data and its possibilities for the healthcare industry. The replay is available online.
Watch the video

Just how well anonymized is anonymized data?

We weren’t the only ones questioning the anonymity of anonymized data this month. Swiss Re Institute, IBM Research, and the Gottlieb Duttweiler Institute teamed up to discuss the limits of data anonymization and shared a written summary of their online discussion.
Read more

Lessons from the PULSE Model and Discussion

A recently released “Face Depixelizer” built from a deep generative model, caused some heated discussions among AI researchers, particularly the bias found in the model. Like the author of this post, we believe such matters are important to discuss and share.
Read more.

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