Bias in Machine Learning

Bias in Machine Learning

by | Aug 20, 2021 | Research Area

While the awareness for discrimination biases based on genders or ethnicities has grown a lot in recent years, especially in the context of fairness in Machine Learning, many datasets come with certain biases of which the researcher is not aware and hence uses to...
Adversarial Learning

Adversarial Learning

by | Aug 20, 2021 | Research Area

Adversarial learning aims to identify weaknesses in machine learning models. The goal is to identify potential problems that cannot be found using traditional evaluation using test sets. It has been used successfully in a wide range of applications, typically focused...