Aidmar Wainakh

According to our database, Aidmar Wainakh authored at least 15 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Federated Learning Attacks Revisited: A Critical Discussion of Gaps, Assumptions, and Evaluation Setups.

Aidmar Wainakh, Ephraim Zimmer, Sandeep Subedi, Jens Keim, Tim Grube, Shankar Karuppayah, Alejandro Sánchez Guinea, Max Mühlhäuser

Sensors, 2023

Label-Aware Aggregation for Improved Federated Learning.

Ahmad Khalil, Aidmar Wainakh, Ephraim Zimmer, Javier Parra-Arnau, Antonio Fernández Anta, Tobias Meuser, Ralf Steinmetz

Proceedings of the Eighth International Conference on Fog and Mobile Edge Computing, 2023

2022

On Privacy-Enhanced Distributed Analytics in Online Social Networks.

Aidmar Wainakh

PhD thesis, 2022

User-Level Label Leakage from Gradients in Federated Learning.

Aidmar Wainakh, Fabrizio Ventola, Till Müßig, Jens Keim, Carlos Garcia Cordero, Ephraim Zimmer, Tim Grube, Kristian Kersting, Max Mühlhäuser

Proc. Priv. Enhancing Technol., 2022

2021

On Generating Network Traffic Datasets with Synthetic Attacks for Intrusion Detection.

Carlos Garcia Cordero, Emmanouil Vasilomanolakis, Aidmar Wainakh, Max Mühlhäuser, Simin Nadjm-Tehrani

ACM Trans. Priv. Secur., 2021

User Label Leakage from Gradients in Federated Learning.

Aidmar Wainakh, Fabrizio Ventola, Till Müßig, Jens Keim, Carlos Garcia Cordero, Ephraim Zimmer, Tim Grube, Kristian Kersting, Max Mühlhäuser

CoRR, 2021

The Relevance of Privacy Concerns, Trust, and Risk for Hybrid Social Media.

Angela Borchert, Aidmar Wainakh, Nicole Krämer, Max Mühlhäuser, Maritta Heisel

Proceedings of the Evaluation of Novel Approaches to Software Engineering, 2021

Mitigating Privacy Concerns by Developing Trust-related Software Features for a Hybrid Social Media Application.

Angela Borchert, Aidmar Wainakh, Nicole Krämer, Max Mühlhäuser, Maritta Heisel

Proceedings of the 16th International Conference on Evaluation of Novel Approaches to Software Engineering, 2021

Label Leakage from Gradients in Distributed Machine Learning.

Aidmar Wainakh, Till Müßig, Tim Grube, Max Mühlhäuser

Proceedings of the 18th IEEE Annual Consumer Communications & Networking Conference, 2021

Enabling Privacy-Preserving Rule Mining in Decentralized Social Networks.

Aidmar Wainakh, Aleksej Strassheim, Tim Grube, Jörg Daubert, Max Mühlhäuser

Proceedings of the ARES 2021: The 16th International Conference on Availability, 2021

2020

Enhancing Privacy via Hierarchical Federated Learning.

Aidmar Wainakh, Alejandro Sánchez Guinea, Tim Grube, Max Mühlhäuser

Proceedings of the IEEE European Symposium on Security and Privacy Workshops, 2020

2019

Efficient privacy-preserving recommendations based on social graphs.

Aidmar Wainakh, Tim Grube, Jörg Daubert, Max Mühlhäuser

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Tweet beyond the Cage: A Hybrid Solution for the Privacy Dilemma in Online Social Networks.

Aidmar Wainakh, Tim Grube, Jörg Daubert, Carsten Porth, Max Mühlhäuser

Proceedings of the 2019 IEEE Global Communications Conference, 2019

2017

Text Localization in Born-Digital Images of Advertisements.

Dirk Siegmund, Aidmar Wainakh, Tina Ebert, Andreas Braun, Arjan Kuijper

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

2016

Attack detection in an autonomous entrance system using optical flow.

Dirk Siegmund, Biying Fu, Timotheos Samartzidis, Aidmar Wainakh, Arjan Kuijper, A. Braun

Proceedings of the 7th International Conference on Imaging for Crime Detection and Prevention, 2016