Our People

About Me

I am a PhD student in the deep learning group, working on the development of sophisticated techniques with an objective to generate consistent and robust representations from neural networks to defend them against the adversarial examples (the examples that are intentionally crafted with quasi-imperceptible perturbations to fool the machine learning classifiers). My research work is motivated to support the growth of deep learning algorithms in practice, particularly in safety and security critical applications. I am supervised by Dr. Volker Fischer at the Bosch Center for Artificial Intelligence and Prof. Thomas Brox from the University of Freiburg.

I studied Masters (M.Sc) in Computer Science with a specialization in machine learning at University of Freiburg. During my master thesis, I investigated the influence of adversarial perturbations in semantic segmentation task and demonstrated the extent of potential harm invloved in using state-of-the-art networks for scene understanding.

My Focus Topics

• Deep Learning
• Recurrent Neural Networks
• Computer Vision