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Aidmar Wainakh
Aidmar Wainakh
Researcher Product Cybersecurity and Privacy at Continental AG
Verified email at continental.com
Title
Cited by
Cited by
Year
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
522021
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
332020
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
212021
User 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
192021
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
152021
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
152019
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
72019
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
52016
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
32022
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
32021
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
22021
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
22016
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
12018
Label-Aware Aggregation for Improved Federated Learning
A Khalil, A Wainakh, E Zimmer, J Parra-Arnau, A Fernández Anta, ...
IEEE International Conference on Fog and Mobile Edge Computing, 2023
2023
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
On Privacy-Enhanced Distributed Analytics in Online Social Networks
A Wainakh
Technische Universität Darmstadt, 0
Design & Develop Misconfiguration Vulnerabilities Scanner for Web Applications
A Wainakh, A Wabbi, B Alkhatib
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Articles 1–17