Research Interests
His research focuses on the security and cryptoanalysis of public-key systems and on the complexity of number-theoretical algorithmic problems.
Bio
Markus studied Mathematics at the University of Salzburg. In 2018, he received a Ph.D. degree for the Thesis “On the Complexity of Integer Factorization and Related Problems.
Publikationen
Top Publications:
-
On the Utility of Synthetic Data: An Empirical Evaluation on Machine Learning Tasks (2019)
- 14th International Conference on Availability, Reliability and Security (ARES 2019)
@INPROCEEDINGS{Hittmeir2019Utility,
author = {Markus Hittmeir and Andreas Ekelhart and Rudolf Mayer},
title = {On the Utility of Synthetic Data: An Empirical Evaluation on Machine Learning Tasks},
booktitle = {14th International Conference on Availability,
Reliability and Security (ARES 2019)},
year = {2019},
month = {8},
pdf = {https://dl.acm.org/doi/10.1145/3339252.3339281},
} -
A Baseline for Attribute Disclosure Risk in Synthetic Data (2020)
- 10th ACM Conference on Data and Application Security and Privacy (CODASPY)
@INPROCEEDINGS{Hittmeir2020Baseline,
author = {Markus Hittmeir and Andreas Ekelhart and Rudolf Mayer},
title = {A Baseline for Attribute Disclosure Risk in Synthetic Data},
booktitle = {10th ACM Conference on Data and Application Security and Privacy (CODASPY)},
year = {2020},
month = {3},
pdf = {http://www.ifs.tuwien.ac.at/~mayer/publications/pdf/CODASPY20_AttributeDisclosure.pdf},
}