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Markus Hittmeir
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2020 – today
- 2024
- [j7]Rudolf Mayer, Markus Hittmeir, Andreas Ekelhart:
Distance-based linkage of personal microbiome records for identification and its privacy implications. Comput. Secur. 136: 103538 (2024) - 2023
- [c9]Rudolf Mayer, Alicja Karlowicz, Markus Hittmeir:
k-Anonymity on Metagenomic Features in Microbiome Databases. ARES 2023: 17:1-17:11 - 2022
- [j6]David Harvey, Markus Hittmeir:
A log-log speedup for exponent one-fifth deterministic integer factorisation. Math. Comput. 91(335): 1367-1379 (2022) - [c8]Markus Hittmeir, Rudolf Mayer, Andreas Ekelhart:
Distance-based Techniques for Personal Microbiome Identification✱. ARES 2022: 3:1-3:13 - [c7]Markus Hittmeir, Rudolf Mayer, Andreas Ekelhart:
Efficient Bayesian Network Construction for Increased Privacy on Synthetic Data. IEEE Big Data 2022: 5721-5730 - [c6]Markus Hittmeir, Rudolf Mayer, Andreas Ekelhart:
Utility and Privacy Assessment of Synthetic Microbiome Data. DBSec 2022: 15-27 - 2021
- [j5]Markus Hittmeir:
A time-space tradeoff for Lehman's deterministic integer factorization method. Math. Comput. 90(330): 1999-2010 (2021) - [c5]Philipp Schindler, Aljosha Judmayer, Markus Hittmeir, Nicholas Stifter, Edgar R. Weippl:
RandRunner: Distributed Randomness from Trapdoor VDFs with Strong Uniqueness. NDSS 2021 - [i3]Markus Hittmeir, Rudolf Mayer, Andreas Ekelhart:
Privacy Risks and Anonymization of Microbiome Data. ERCIM News 2021(126) (2021) - 2020
- [j4]Markus Hittmeir, Jacek Pomykala:
Deterministic Integer Factorization with Oracles for Euler's Totient Function. Fundam. Informaticae 172(1): 39-51 (2020) - [j3]Markus Hittmeir:
A Reduction of Integer Factorization to Modular Tetration. Int. J. Found. Comput. Sci. 31(4): 461-481 (2020) - [c4]Markus Hittmeir, Rudolf Mayer, Andreas Ekelhart:
A Baseline for Attribute Disclosure Risk in Synthetic Data. CODASPY 2020: 133-143 - [c3]Rudolf Mayer, Markus Hittmeir, Andreas Ekelhart:
Privacy-Preserving Anomaly Detection Using Synthetic Data. DBSec 2020: 195-207 - [i2]Markus Hittmeir, Andreas Ekelhart, Rudolf Mayer:
Evaluation of Synthetic Data for Privacy-Preserving Machine Learning. ERCIM News 2020(123) (2020) - [i1]Philipp Schindler, Aljosha Judmayer, Markus Hittmeir, Nicholas Stifter, Edgar R. Weippl:
RandRunner: Distributed Randomness from Trapdoor VDFs with Strong Uniqueness. IACR Cryptol. ePrint Arch. 2020: 942 (2020)
2010 – 2019
- 2019
- [c2]Markus Hittmeir, Andreas Ekelhart, Rudolf Mayer:
On the Utility of Synthetic Data: An Empirical Evaluation on Machine Learning Tasks. ARES 2019: 29:1-29:6 - [c1]Markus Hittmeir, Andreas Ekelhart, Rudolf Mayer:
Utility and Privacy Assessments of Synthetic Data for Regression Tasks. IEEE BigData 2019: 5763-5772 - 2018
- [j2]Markus Hittmeir:
A babystep-giantstep method for faster deterministic integer factorization. Math. Comput. 87(314): 2915-2935 (2018) - 2017
- [j1]Markus Hittmeir:
Deterministic factorization of sums and differences of powers. Math. Comput. 86(308): 2947-2954 (2017)
Coauthor Index
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