Training Courses

How can it be that fake data unlocks more value for your organization than real data? In this interactive workshop we explore the opportunities of synthetic data within your organization as a best practice for privacy-by-design and for boosting data innovation.

While manipulation of digital files is nothing new, this breed of believable fakery is accomplished using computer programs that employ a form of artificial intelligence. But what are they exactly and how do they work? In this training, we will share the latest insights into the topic and let you create your own deep fake alter ego.

Note: this course is for technically minded people.

Do people within your organization still believe in classic anonymization (e.g. data masking, generalization, and substitution)? This training provides you with all the necessary ammunition to make them rethink this proposition. We’ll cover subjects like pseudonymization, K-anonymity, linkage attacks and discuss alternative ways to incorporate privacy-by-design practices within your organisation.

A training on generative machine learning models. Ranging from the classics, like Gaussian Mixture Models (GMM) and Kernel Density Estimation (KDE), to the advanced, such as Variational Auto Encoders (VAE) and Generative Adversarial Networks (GANs). You’ll get your hands dirty with an exciting assignment by generating your own synthetic images.

Note: this course is for technically minded people.

Why does it make sense to add noise to your data to achieve privacy? Differential privacy is a hot topic these days, but the concept may be hard to grasp. Do you want to know all the ins and outs of differential privacy and how it can be applied in practice, then this training is for you.

Note: this course is for technically minded people.