CORE A/A* ranked venues marked in bold.

2022

Daniel Günther, Marco Holz, Benjamin Judkewitz, Helen Möllering, Benny Pinkas, Thomas Schneider, and Ajith Suresh. POSTER: Privacy-preserving epidemiological modeling on mobile graphs. In 29. ACM Conference on Computer and Communications Security (CCS'22) Posters/Demos, pages 3351–3353, ACM, Los Angeles, USA, November 7-11, 2022. CORE rank A*. [ DOI | pdf | web ]

2020

Daniel Günther, Marco Holz, Benjamin Judkewitz, Helen Möllering, Benny Pinkas, Thomas Schneider, and Ajith Suresh. Privacy-preserving epidemiological modeling on mobile graphs. Cryptology ePrint Archive, Report 2020/1546, December 11, 2020. https://ia.cr/2020/1546.

Marco Holz, Ágnes Kiss, Deevashwer Rathee, and Thomas Schneider. Linear-complexity private function evaluation is practical. In 25. European Symposium on Research in Computer Security (ESORICS'20), volume 12309 of LNCS, pages 401–420, Springer, Virtual Event, September 14-18, 2020. Full version: https://ia.cr/2020/853. Code: https://encrypto.de/code/linearPFE. Acceptance rate 19.7%. CORE rank A. [ DOI | pdf | web ]

2019

Marco Holz. A systematic comparison of he-based private function evaluation protocols. Master's thesis, TU Darmstadt, Germany, November 11, 2019.

2017

Daniel Demmler, Marco Holz, and Thomas Schneider. OnionPIR: Effective protection of sensitive metadata in online communication networks. In 15. International Conference on Applied Cryptography and Network Security (ACNS'17), volume 10355 of LNCS, pages 599–619, Springer, Kanazawa, Japan, July 10-12, 2017. Code: https://encrypto.de/code/onionPIR. Acceptance rate 22.8%. CORE rank B. [ DOI | pdf | web ]

2016

Marco Holz. Effective protection of sensitive metadata in online communication networks. Bachelor's thesis, TU Darmstadt, Germany, October 18, 2016.