Improving machine learning based side-channel analysis: can dropout be dropped out?

Analysing physical leakages (e.g. power consumption and electromagnetic radiation) of cryptographic devices can be used by adversaries to extract secret keys. Over the last couple of years, researchers have shown that machine learning has potential for this process. Machine learning models need to be fine-tuned to enhance key extraction...

Preventing overfitting in Mixed Integer Optimization based classification tree construction

The global use of azole antifungals as treatment against infections caused by <i>Candida</i> has led to an increase in azole resistance. The primal goal of this BSc thesis is to improve existing Mixed Integer Optimization models to classify azole resistance of <i>C. glabrata</i> more accurately by preventing overfitting. Moreover, these...

Tuning of Optical Beamforming Networks: A Deep Learning Approach

Optical beamforming networks (OBFNs), which consist of many small and flat antennas, called phased array antennas (PAAs), can be tuned such that the signal beam from the airplanes can be steered towards a satellite. This was proposed as a alternative to the mechanically steered antenna, which has many disadvantages. The problem of tuning a large...