Working Student for “Testing and Evaluation in Adversarial Machine Learning” (HiWi)

Motivation Adversarial machine learning is a technique employed in the field of machine learning which attempts to fool models through malicious input. This technique can be applied for a variety of reasons, the most common being to attack or cause a malfunction in standard machine learning models. An attacker can break machine learning systems, such as by poisoning the data used by the learning...