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109 Publications
2023 | Conference Paper | LibreCat-ID: 44855
Hemmrich, Simon, Jan Bobolz, Daniel Beverungen, and Johannes Blömer. “Designing Business Reputation Ecosystems — A Method for Issuing and Trading Monetary Ratings on a Blockchain.” In ECIS 2023 Research Papers, 2023.
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2023 | Conference Paper | LibreCat-ID: 35014 | 
Blömer, Johannes, Jan Bobolz, and Henrik Bröcher. “On the Impossibility of Surviving (Iterated) Deletion of Weakly Dominated Strategies in Rational MPC,” 2023.
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2023 | Conference Paper | LibreCat-ID: 43458 |
Blömer, Johannes, Jan Bobolz, and Laurens Alexander Porzenheim. “A Generic Construction of an Anonymous Reputation System and Instantiations from Lattices,” 2023.
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2022 | Dissertation | LibreCat-ID: 35188
Eidens, Fabian. Privacy-Preserving Cryptography: Attribute-Based Signatures and Updatable Credentials, 2022. https://doi.org/10.17619/UNIPB/1-1653.
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2021 | Preprint | LibreCat-ID: 26645 |
Bobolz, Jan, Fabian Eidens, Raphael Heitjohann, and Jeremy Fell. “Cryptimeleon: A Library for Fast Prototyping of Privacy-Preserving Cryptographic Schemes.” IACR eprint, 2021.
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2021 | Conference Paper | LibreCat-ID: 29566
Bobolz, Jan, Fabian Eidens, Stephan Krenn, Sebastian Ramacher, and Kai Samelin. “Issuer-Hiding Attribute-Based Credentials.” In Cryptology and Network Security. Cham: Springer International Publishing, 2021. https://doi.org/10.1007/978-3-030-92548-2_9.
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2020 | Journal Article | LibreCat-ID: 20888
Blömer, Johannes, Sascha Brauer, and Kathrin Bujna. “A Complexity Theoretical Study of Fuzzy K-Means.” ACM Transactions on Algorithms 16, no. 4 (2020): 1–25. https://doi.org/10.1145/3409385.
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2020 | Conference Paper | LibreCat-ID: 16487 |
Bobolz, Jan, Fabian Eidens, Stephan Krenn, Daniel Slamanig, and Christoph Striecks. “Privacy-Preserving Incentive Systems with Highly Efficient Point-Collection.” In Proceedings of the 15th ACM Asia Conference on Computer and Communications Security (ASIA CCS ’20),. New York, NY, USA: ACM, 2020. https://doi.org/10.1145/3320269.3384769.
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2020 | Journal Article | LibreCat-ID: 10790
Blömer, Johannes, Sascha Brauer, Kathrin Bujna, and Daniel Kuntze. “How Well Do SEM Algorithms Imitate EM Algorithms? A Non-Asymptotic Analysis for Mixture Models.” Advances in Data Analysis and Classification 14 (2020): 147–173. https://doi.org/10.1007/s11634-019-00366-7.
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2020 | Dissertation | LibreCat-ID: 15482
Löken, Nils. Cryptography for the Crowd — A Study of Cryptographic Schemes with Applications to Crowd Work, 2020. https://doi.org/10.17619/UNIPB/1-854.
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