| FLAME: Taming Backdoors in Federated Learning TD Nguyen, P Rieger, H Chen, H Yalame, H Möllering, H Fereidooni, ... Cryptology ePrint Archive, 2021 | 259* | 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 | 174 | 2021 |
| Baffle: Backdoor detection via feedback-based federated learning S Andreina, GA Marson, H Möllering, G Karame ICDCS'21, 2020 | 146 | 2020 |
| Sok: Efficient privacy-preserving clustering A Hegde, H Möllering, T Schneider, H Yalame Proceedings on Privacy Enhancing Technologies, 2021 | 31 | 2021 |
| 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 | 29 | 2021 |
| 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 | 11 | 2022 |
| 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 | 8 | 2022 |
| 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 | 6 | 2024 |
| BOLT: Privacy-Preserving, Accurate and Efficient Inference for Transformers Q Pang, J Zhu, H Möllering, W Zheng, T Schneider Cryptology ePrint Archive, 2023 | 5 | 2023 |
| 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 | 5 | 2022 |
| 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 | 3 | 2022 |
| 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 | 2 | 2022 |
| 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 |
| Thwarting Semantic Backdoor Attacks in Privacy Preserving Federated Learning H Möllering University of Twente, 2019 | | 2019 |
Thomas SchneiderProfessor of Computer Science, TU Darmstadt在 encrypto.cs.tu-darmstadt.de 的电子邮件经过验证
