| On generating network traffic datasets with synthetic attacks for intrusion detection CG Cordero, E Vasilomanolakis, A Wainakh, M Mühlhäuser, ... ACM Transactions on Privacy and Security (TOPS) 24 (2), 1-39, 2021 | 62 | 2021 |
| User-level label leakage from gradients in federated learning A Wainakh, F Ventola, T Müßig, J Keim, CG Cordero, E Zimmer, T Grube, ... arXiv preprint arXiv:2105.09369, 2021 | 58 | 2021 |
| Enhancing privacy via hierarchical federated learning A Wainakh, AS Guinea, T Grube, M Mühlhäuser 2020 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW …, 2020 | 43 | 2020 |
| Label leakage from gradients in distributed machine learning A Wainakh, T Müßig, T Grube, M Mühlhäuser 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC …, 2021 | 18 | 2021 |
| Efficient privacy-preserving recommendations based on social graphs A Wainakh, T Grube, J Daubert, M Mühlhäuser Proceedings of the 13th ACM Conference on Recommender Systems, 78-86, 2019 | 16 | 2019 |
| Tweet beyond the cage: a hybrid solution for the privacy dilemma in online social networks A Wainakh, T Grube, J Daubert, C Porth, M Muhlhauser 2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019 | 6 | 2019 |
| Verification of single-person access in a mantrap portal using RGB-D images D Siegmund, A Wainakh, A Braun XII Workshop de Visao Computacional (WVC), 2016 | 5 | 2016 |
| Federated learning attacks revisited: A critical discussion of gaps, assumptions, and evaluation setups A Wainakh, E Zimmer, S Subedi, J Keim, T Grube, S Karuppayah, ... Sensors 23 (1), 31, 2022 | 4 | 2022 |
| Mitigating Privacy Concerns by Developing Trust-related Software Features for a Hybrid Social Media Application. A Borchert, A Wainakh, N Krämer, M Mühlhäuser, M Heisel ENASE, 269-280, 2021 | 4 | 2021 |
| Attack detection in an autonomous entrance system using optical flow D Siegmund, B Fu, T Samartzidis, A Wainakh, A Kuijper, A Braun 7th International Conference on Imaging for Crime Detection and Prevention …, 2016 | 3 | 2016 |
| Enabling Privacy-Preserving Rule Mining in Decentralized Social Networks A Wainakh, A Strassheim, T Grube, J Daubert, M Mühlhäuser Proceedings of the 16th International Conference on Availability …, 2021 | 1 | 2021 |
| Text localization in born-digital images of advertisements D Siegmund, A Wainakh, T Ebert, A Braun, A Kuijper Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2018 | 1 | 2018 |
| Label-Aware Aggregation for Improved Federated Learning A Khalil, A Wainakh, E Zimmer, J Parra-Arnau, AF Anta, T Meuser, ... 2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC …, 2023 | | 2023 |
| On Privacy-Enhanced Distributed Analytics in Online Social Networks A Wainakh Technische Universität Darmstadt, 2022 | | 2022 |
| The Relevance of Privacy Concerns, Trust, and Risk for Hybrid Social Media A Borchert, A Wainakh, N Krämer, M Mühlhäuser, M Heisel International Conference on Evaluation of Novel Approaches to Software …, 2021 | | 2021 |
| Design & Develop Misconfiguration Vulnerabilities Scanner for Web Applications A Wainakh, A Wabbi, B Alkhatib | | |
Max MühlhäuserProfessor of Computer Science, Technische Universität DarmstadtAdresse e-mail validée de informatik.tu-darmstadt.de
