CORE A/A* ranked venues marked in bold.
Daniel Günther, Marco Holz, Benjamin Judkewitz, Helen Möllering, Benny Pinkas, Thomas Schneider, and Ajith Suresh. Privacy-Preserving Epidemiological Modeling on Mobile Graphs. IEEE Transactions on Information Forensics and Security (TIFS), 20(2):3088–3101, February 28, 2025. Online: https://ia.cr/2020/1546. Code: https://encrypto.de/code/RIPPLE. CORE rank A. [ DOI | pdf | web ]
Hannah Keller, Helen Möllering, Thomas Schneider, Oleksandr Tkachenko, and Liang Zhao. Secure Noise Sampling for DP in MPC with Finite Precision. In 19. International Conference on Availability, Reliability and Security (ARES'24), pages 25:1–25:12, ACM, Vienna, Austria, July 30 - August 2, 2024. Full version: https://ia.cr/2023/1594. Acceptance rate 20.5%. CORE rank B. [ DOI | pdf | web ]
Qi Pang, Jinhao Zhu, Helen Möllering, Wenting Zheng, and Thomas Schneider. BOLT: Privacy-Preserving, Accurate and Efficient Inference for Transformers. In 45. IEEE Symposium on Security and Privacy (IEEE S&P'24), pages 4753–4771, IEEE, San Francisco, CA, USA, May 20-23, 2024. Online: https://ia.cr/2023/1893. Acceptance rate 17.8%. CORE rank A*. [ DOI | pdf | web ]
Yaniv Ben-Itzhak, Helen Möllering, Benny Pinkas, Thomas Schneider, Ajith Suresh, Oleksandr Tkachenko, Shay Vargaftik, Christian Weinert, Hossein Yalame, and Avishay Yanai. ScionFL: Secure Quantized Aggregation for Federated Learning. In 2. IEEE Conference on Secure and Trustworthy Machine Learning (SaTML'24), pages 490–511, IEEE, Toronto, Canada, April 9-11, 2024. Runner-up Distinguished Paper Award. Online: https://ia.cr/2023/652. Acceptance rate 21.5%. [ DOI | pdf | web ]
Helen Möllering. Towards Practical Privacy-Preserving Clustering and Health Care Data Analyses. PhD thesis, TU Darmstadt, Germany, September 29, 2023. [ pdf ]
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, CA, USA, November 7-11, 2022. CORE rank A*. [ DOI | pdf | web ]
Timm Birka, Kay Hamacher, Tobias Kussel, Helen Möllering, and Thomas Schneider. SPIKE: Secure and Private Investigation of the Kidney Exchange problem. BMC Medical Informatics and Decision Making, 22(1):253, September 22, 2022. Online: https://arxiv.org/abs/2204.09937. Code: https://encrypto.de/code/PPKE. CORE rank B. [ DOI | pdf | web ]
Aditya Hegde, Helen Möllering, Thomas Schneider, and Hossein Yalame. CONTRIBUTED TALK: SoK: Privacy-Preserving Clustering (Extended Abstract). Privacy in Machine Learning Workshop (PriML@NeurIPS'21), Virtual Event, December 14, 2021. [ web ]
Hannah Keller, Helen Möllering, Thomas Schneider, and Hossein Yalame. POSTER: Balancing Quality and Efficiency in Private Clustering with Affinity Propagation (Extended Abstract). 4. Privacy Preserving Machine Learning Workshop (PPML@CCS'21), Virtual Event, November 19, 2021. [ web ]
Aditya Hegde, Helen Möllering, Thomas Schneider, and Hossein Yalame. POSTER: SoK: Privacy-Preserving Clustering (Extended Abstract). 4. Privacy Preserving Machine Learning Workshop (PPML@CCS'21), Virtual Event, November 19, 2021. [ web ]
Timm Birka, Tobias Kussel, Helen Möllering, and Thomas Schneider. An Efficient and Practical Privacy-Preserving Kidney Exchange Problem Protocol (Abstract). In 33. Kryptotag (crypto day matters), Gesellschaft für Informatik e.V. / FG KRYPTO, Virtual Event, September 17, 2021. [ DOI | pdf ]
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), pages 173–184, SciTePress, Virtual Event, July 6-8, 2021. Full version: https://ia.cr/2021/825. Code: https://encrypto.de/code/ppAffinityPropagation. Acceptance rate 18.4% for full papers. CORE rank C. [ DOI | pdf | web ]
Aditya Hegde, Helen Möllering, Thomas Schneider, and Hossein Yalame. SoK: Efficient Privacy-Preserving Clustering. Proceedings on Privacy Enhancing Technologies (PoPETs), 2021(4):225–248, July 2021. Online: https://ia.cr/2021/809. Code: https://encrypto.de/code/SoK_ppClustering. Acceptance rate 18.8%. CORE rank A. [ DOI | pdf | 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), pages 658–671, ACM, Virtual Event, June 7-11, 2021. Online: https://ia.cr/2021/612. Code: https://encrypto.de/code/ppDBSCAN. Acceptance rate 18.9%. CORE rank A. [ DOI | pdf | web ]
Hannah Keller, Helen Möllering, Thomas Schneider, and Hossein Yalame. Privacy-Preserving Clustering (Abstract). In 32. Kryptotag (crypto day matters), Gesellschaft für Informatik e.V. / FG KRYPTO, Virtual Event, January 15, 2021. [ DOI | pdf ]
Helen Möllering. Thwarting Semantic Backdoor Attacks in Privacy Preserving Federated Learning. Master's thesis, Eurecom, France & University of Twente, Netherlands, August 28, 2019.
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.