GDPR Compliance through Advanced Anonymization Techniques

May 19, 2020 - Online

Lack of proper anonymization or pseudonymization introduces risks; if there is a data breach, huge penalties are applied for non-compliance with GDPR. Even if you think you’ve analyzed your data and believe it to be anonymized, there are assessment techniques that can measure the risks. In this workshop you’ll learn how to work with the new Privacy Extension for KNIME, which utilizes advanced anonymization techniques.

This workshop is run by Artem Ryasik & Jan Lindquist (Redfield).


We're keeping the KNIME Community connected throughout April and May by bringing you a series of online events. Find more here:

More online workshops

April 9 KNIME Text Mining with NER Modeling and Deep Learning
April 16 Sharing & Deploying Data Science with KNIME Server
April 21 Working with the RDKit in KNIME Analytics Platform
April 23 Time Series Analysis Workshop
April 28 Text Mining on Biomedical Literature - Today: Topic Modeling
April 30 Guided Labeling: Human-in-the-Loop Label Generation with Active Learning & Weak Supervision
May 5 Behind the Scenes of Machine Learning
May 7 Building a Drug Discovery Workflow in 8+1 steps with KNIME
May 12 Deep Learning for Image Analysis
May 14 KNIME Big Data Workshop


How do I join the workshop?

You’ll receive a zoom link with your registration confirmation. Make sure you have a stable internet connection!

Will I be able to ask questions?

Yes, we will have a Q&A and we'll do our best to answer these at the end of the workshop.

Where do I find the latest version of KNIME Analytics Platform?

Download the latest free, open source version of knime here: knime.com/download

What other resources will help me to get started in KNIME?