Floragasse 7 – 5th floor, 1040 Vienna

Markus Hittmeir

Markus Hittmeir

is senior researcher at SBA Research.

Research Interests

Markus’ work concerns the security and cryptoanalysis of public-key systems and the complexity of algorithmic problems in number theory. Moreover, he is interested in data analysis and anonymization techniques, such as the generation of synthetic data.


Bio

Markus studied Mathematics and Philosophy at the Paris Lodron University of Salzburg. In 2018, he received a doctoral degree for his dissertation On the Complexity of Integer Factorization and Related Problems.


Publications

Top Publications:

  • Utility and privacy assessments of synthetic data for regression tasks (2019)
    • INPROCEEDINGS--
    • Markus Hittmeir and Andreas Ekelhart and Rudolf Mayer
    • IEEE International Conference on Big Data (IEEE BigData 2019)
    @INPROCEEDINGS{Hittmeir2019BDU,
       author = {Markus Hittmeir and Andreas Ekelhart and Rudolf Mayer},
       title = {Utility and privacy assessments of synthetic data for regression tasks},
       booktitle = {IEEE International Conference on Big Data (IEEE BigData 2019)},
       year = {2019},
       month = {12},
       pdf = {http://www.myhealthmydata.eu/wp-content/uploads/2020/01/Utility-and-Privacy-Assessments-of-Synthetic-Data-for-Regression-Tasks_SBA.pdf},
    }
  • On the utility of synthetic data: An empirical evaluation on machine learning tasks (2019)
    • INPROCEEDINGS--
    • Markus Hittmeir and Andreas Ekelhart and Rudolf Mayer
    • 14th 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 Conference on Availability,
       Reliability and Security (ARES 2019)},
       year = {2019},
       month = {8},
       pdf = {http://www.ifs.tuwien.ac.at/~mayer/publications/pdf/ARES19_Synthetic_data.pdf},
    }
  • A Baseline for Attribute Disclosure Risk in Synthetic Data (2020)
    • INPROCEEDINGS-true
    • 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},
       authorhotlist = {true},
       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},
    }
  • Deterministic Integer Factorization with Oracles for Euler's Totient Function (2020)
    • ARTICLE--
    • Markus Hittmeir and Jacek Pomykala
    • Fundamenta Informaticae
    @ARTICLE{Hittmeir2020Deterministic,
       author = {Markus Hittmeir and Jacek Pomykala},
       title = {Deterministic Integer Factorization with Oracles for Euler's Totient Function},
       journal = {Fundamenta Informaticae},
       year = {2020},
       month = {2},
       pdf = {https://content.iospress.com/articles/fundamenta-informaticae/fi1891},
    }

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