Aidmar Wainakh
Aidmar Wainakh
Researcher Product Cybersecurity and Privacy at Continental AG
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
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
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
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
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
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
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
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
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
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
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
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
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
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
On Privacy-Enhanced Distributed Analytics in Online Social Networks
A Wainakh
Technische Universität Darmstadt, 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
Design & Develop Misconfiguration Vulnerabilities Scanner for Web Applications
A Wainakh, A Wabbi, B Alkhatib
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