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 |
| Efficient adversarial training for robust and sparse DNNs | B/P/M | Ozan Özdenizci |
| Adversarially robust generative modeling with deep VAEs | P/M | Ozan Özdenizci |
| Security of deep spiking neural networks against bit-flip attacks | P/M | Ozan Özdenizci |
Institute of Theoretical Computer Science
Inffeldgasse 16b/I
8010 Graz
Phone: +43 (0) 316 / 873 - 5811
Fax: +43 (0) 316 / 873 - 105811
daniela.windisch-scharler@tugraz.at