On the 09.06.2022 at 11 a.m. the 11th lecture of the Living Lab lecture series took place. In this talk, ScaDS.AI scientific researchers Maja Schneider and Anika Hannemann from Leipzig University talked about Privacy Preserving Data Processing. 

In the first part of the lecture, our researchers talked about Privacy-Preserving Data Publishing (PPDP) and illustrated this topic on the example of mobility data by showing its potential but also highlighting the involved privacy risk when such data is being published. Privacy preserving machine learning  (PPML) on the example of decentralised clinical data was the second focus topic of this lecture. PPML is a subdiscipline of Machine Learning that deals with modelling on sensitive data while preserving their privacy. Privacy and a framework for the evaluation of privacy guarantees were defined and, furthermore, an ensemble learning method for modelling on distributed data sets has been introduced.

Missed this Living Lab lecture on Privacy Preserving Data Processing? You can rewatch it on YouTube.

Living Lab Lecture Series

The Living Lab Lecture Series gives you an in-depth insight into the many research topics of ScaDS.AI Dresden/Leipzig. From Natural Language Processing to Ethics and Moral Code in AI, a great variety of topics are discussed. You can join our lectures every first thursday of the month or watch them on YouTube afterwards. If you have ideas for topics to discuss in the future, please let our Living Lab team know. We suggest for you to regularly check our event calendar, to never miss out on upcoming lectures or other interesting events organized by or in cooperation with our center.

FAQ

How can I participate in the lecture?

You can reach the permanent room for all lectures here: https://tud.link/i8zf

When will the room become accessible to the audience?

The room will be accessible 5 minutes before the start of the lecture.

Who can participate in the Living Lab activities?

The participation is free for everyone.

Do I need to be familiar with topics such as Big Data and AI to benefit from the lectures?

No! Not at all. One of our goals in the Living Lab lecture series is to familiarize everyone with these topics.

Is there any technical requirements to participate in the lecture?

You just need an up-to-date browser such as Firefox, Google Chrome or Chromium. We would also recommend using headphones for better audio quality.

Should I also turn on my camera/microphone during the lecture?

Not unless you would like to! In general, there is no need to have a camera or microphone to participate in the lecture.

In that case, how can I ask a question and provide feedback?

Alongside joining the discussion with your camera and microphone, there is also the possibility to submit your question and comments as a written comment in the Chat section.

How can I easily get informed about future activities of the Living Lab?

• • Follow us on X: @Sca_DS

• • Follow us on LinkedIn: ScaDS.AI Dresden/Leipzig

• • Subscribe to our YouTube channel: https://www.youtube.com/channel/UCv7EDPwovn6T1iaMbhlpFjg

• • Subscribe to our mailing list: https://mailman.zih.tu-dresden.de/groups/listinfo/livinglab

Can I participate with my smartphone?