Floragasse 7 – 5th floor, 1040 Vienna

Markus Hittmeir

Markus Hittmeir

is researcher at SBA Research.

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)
    • INPROCEEDINGS--
    • Markus Hittmeir and Andreas Ekelhart and Rudolf Mayer
    • 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)
    • INPROCEEDINGS--
    • Markus Hittmeir and Andreas Ekelhart and Rudolf Mayer
    • 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},
    }

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