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Helen Möllering
Helen Möllering
Verified email at encrypto.cs.tu-darmstadt.de
Title
Cited by
Cited by
Year
FLAME: Taming Backdoors in Federated Learning
TD Nguyen, P Rieger, H Chen, H Yalame, H Möllering, H Fereidooni, ...
Cryptology ePrint Archive, 2021
255*2021
Safelearn: Secure aggregation for private federated learning
H Fereidooni, S Marchal, M Miettinen, A Mirhoseini, H Möllering, ...
2021 IEEE Security and Privacy Workshops (SPW), 56-62, 2021
1702021
Baffle: Backdoor detection via feedback-based federated learning
S Andreina, GA Marson, H Möllering, G Karame
ICDCS'21, 2020
1452020
Privacy-preserving density-based clustering
B Bozdemir, S Canard, O Ermis, H Möllering, M Önen, T Schneider
Proceedings of the 2021 ACM Asia Conference on Computer and Communications …, 2021
312021
Sok: Efficient privacy-preserving clustering
A Hegde, H Möllering, T Schneider, H Yalame
Proceedings on Privacy Enhancing Technologies, 2021
312021
Balancing quality and efficiency in private clustering with affinity propagation
H Keller, H Möllering, T Schneider, H Yalame
Cryptology ePrint Archive, 2021
18*2021
Privacy-preserving epidemiological modeling on mobile graphs
D Günther, M Holz, B Judkewitz, H Möllering, B Pinkas, T Schneider, ...
arXiv preprint arXiv:2206.00539, 2022
112022
Scionfl: Secure quantized aggregation for federated learning
Y Ben-Itzhak, H Möllering, B Pinkas, T Schneider, A Suresh, O Tkachenko, ...
CoRR, vol. abs/2210.07376, 2022
82022
Scionfl: Efficient and robust secure quantized aggregation
Y Ben-Itzhak, H Möllering, B Pinkas, T Schneider, A Suresh, O Tkachenko, ...
2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 490-511, 2024
62024
BOLT: Privacy-Preserving, Accurate and Efficient Inference for Transformers
Q Pang, J Zhu, H Möllering, W Zheng, T Schneider
Cryptology ePrint Archive, 2023
62023
SPIKE: secure and private investigation of the kidney exchange problem
T Birka, K Hamacher, T Kussel, H Möllering, T Schneider
BMC Medical Informatics and Decision Making 22 (1), 253, 2022
42022
Poster: Privacy-Preserving Epidemiological Modeling on Mobile Graphs
D Günther, M Holz, B Judkewitz, H Möllering, B Pinkas, T Schneider, ...
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications …, 2022
32022
Flame: Taming backdoors in federated learning
N TDuc, P Rieger, H Chen, H Yalame, H Möllering, H Fereidooni, ...
31st USENIX Security Symposium (USENIX Security 22), 2022
22022
Thwarting model poisoning in federated learning
G Karame, GA Marson, H Moellering
US Patent 11,616,804, 2023
2023
Secure Noise Sampling for DP in MPC with Finite Precision
H Keller, H Möllering, T Schneider, O Tkachenko, L Zhao
Cryptology ePrint Archive, 2023
2023
Towards Practical Privacy-Preserving Clustering and Health Care Data Analyses
H Möllering
Technische Universität Darmstadt, 2023
2023
Privacy-preserving machine learning
G Karame, GA Marson, H Moellering
US Patent 11,470,053, 2022
2022
FLAME: Taming Backdoors in Federated Learning (Extended Version 1)
TD Nguyen, P Rieger, H Chen, H Yalame, H Möllering, H Fereidooni, ...
arXiv preprint arXiv:2101.02281, 2021
2021
Thwarting Semantic Backdoor Attacks in Privacy Preserving Federated Learning
H Möllering
University of Twente, 2019
2019
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Articles 1–19