Open Student Projects, Bachelor and Master Theses at the Institute of Theoretical Computer Science

We are looking for highly motivated students who want to participate, during their Bachelor/Master Project and/or Thesis, in research on areas of machine learning, deep learning, and brain-inspired paradigms for computing and learning. Concete topics for Bachelor theses (B), seminar projects (P), Master theses (M) are listed below. Topics can be specialized further in discussion with the student, in order to accomodate prior knowledge and interests.

Project Topic Type Contact
Backpropagation with low-precision gradient accumulation B/P/M Robert Legenstein
Exploring gradient-based optimization techniques for deep learning B/P Robert Legenstein
Adversarially robust generative modeling with deep variational autoencoders B/P/M Ozan Özdenizci
Exploring real world vulnerability of deep neural networks against adversarial patch attacks B/P/M Ozan Özdenizci
Improving generalization in deep learning with diffusion models P/M Ozan Özdenizci
Security of deep spiking neural networks against bit-flip attacks P/M Ozan Özdenizci
Naturalistic adversarial attack algorithms on deep neural networks B/P Ozan Özdenizci
Efficient and accelerated adversarial training for robust and sparse deep neural networks B Ozan Özdenizci

Institute of Theoretical Computer Science
Inffeldgasse 16b/I
8010 Graz

Phone: +43 (0) 316 / 873 - 5811
Fax:       +43 (0) 316 / 873 - 105811

Univ.-Prof. Dipl.-Ing. Dr. techn. Robert Legenstein