Helen Möllering M.Sc.
Doctoral Researcher
Contact
moellering@encrypto.cs.tu-...
work +49 6151 16-27301
Work
S2|20 210
Pankratiusstraße 2
64289
Darmstadt
I am a doctoral researcher and member of the Cryptography and Privacy Engineering Group (ENCRYPTO) at the Department of Computer Science of Technische Universität Darmstadt, Germany.
Honors and Awards
- Germany Scholarship (Deutschlandstipendium)
- European Institute for Innovation and Technology (EIT) Digital Master School Scholarship
Work Experience
- Since 2019/11 Doctoral Researcher at ENCRYPTO
- 2019/03-2019/08 Research Internship and Master Thesis at NEC Laboratories Europe
- 2018/07-2018/08 Internship Information Security at Volkswagen Germany
- 2015/09-2017/07 iOS Developer at Mintellity GmbH
- 2013/11-2015/08 Student Trainee at LVM Insurance
Studies
- 2017-2019 M.Sc. in Computer Science (with honors), University of Twente, Netherlands and M.Sc. in Digital Security (with honors), Eurecom, France within the EIT Digital Master School
- 2013-2016 B.Sc. in Computer Science (with honors), University of Münster, Germany
Publications
CORE A/A* ranked venues marked in bold.
2021
Sébastien Andreina, Giorgia Azzurra Marson, Helen Möllering, and Ghassan Karame. BaFFLe: Backdoor detection via feedback-based federated learning. In 41. IEEE International Conference on Distributed Computing Systems (ICDCS'21), IEEE, Virtual Event, July 7-10, 2021. CORE rank A. [ pdf | web ]
Hannah Keller, Helen Möllering, Thomas Schneider, and Hossein Yalame. Balancing quality and efficiency in private clustering with affinity propagation. In 18. International Conference on Security and Cryptography (SECRYPT'21), SciTePress, Virtual Event, July 6-8, 2021. CORE rank B. [ web ]
Beyza Bozdemir, Sébastien Canard, Orhan Ermis, Helen Möllering, Melek Önen, and Thomas Schneider. Privacy-preserving density-based clustering. In 16. ACM ASIA Conference on Computer and Communications Security (ASIACCS'21), ACM, Virtual Event, June 7-11, 2021. To appear. Code: https://encrypto.de/code/ppDBSCAN. Acceptance rate 19.3%. CORE rank B. [ DOI | web ]
Hossein Fereidooni, Samuel Marchal, Markus Miettinen, Azalia Mirhoseini, Helen Möllering, Thien Duc Nguyen, Phillip Rieger, Ahmad-Reza Sadeghi, Thomas Schneider, Hossein Yalame, and Shaza Zeitouni. SAFELearn: Secure aggregation for private federated learning. In 4. Deep Learning and Security Workshop (DLS'21), IEEE, Virtual Event, May 27, 2021. To appear. Full version: https://ia.cr/2021/386. [ web ]
Hannah Keller, Helen Möllering, Thomas Schneider, and Hossein Yalame. Privacy-preserving clustering. In 32. Kryptotag (crypto day matters), Virtual Event, January 15, 2021. [ DOI | pdf ]
Thien Duc Nguyen, Phillip Rieger, Hossein Yalame, Helen Möllering, Hossein Fereidooni, Samuel Marchal, Markus Miettinen, Azalia Mirhoseini, Ahmad-Reza Sadeghi, Thomas Schneider, and Shaza Zeitouni. FLGUARD: Secure and private federated learning, Jan 6, 2021. https://ia.cr/2021/025.
2020
Marco Holz, Benjamin Judkewitz, Helen Möllering, Benny Pinkas, and Thomas Schneider. PEM: Privacy-preserving Epidemiological Modeling. Cryptology ePrint Archive, Report 2020/1546, December 11, 2020. https://ia.cr/2020/1546.
2019
Helen Möllering. Thwarting semantic backdoor attacks in privacy preserving federated learning. Master's thesis, Eurecom, France & University of Twente, Netherlands, August 28, 2019.
2016
Helen Möllering. Vergleich der Methoden zur Applikationsentwicklung für mobile Endgeräte mit einem Fallbeispiel unter iOS. Bachelor's thesis, Westfälische Wilhelms-Universität Münster, Germany, November 19, 2016.