Englisch

Khalil, Ahmad ; Wainakh, Aidmar ; Zimmer, Ephraim ; Parra-Arnau, Javier ; Fernández Anta, Antonio ; Meuser, Tobias ; Steinmetz, Ralf (2023)
Label-Aware Aggregation for Improved Federated Learning.
8th International Conference on Fog and Mobile Edge Computing. Tartu, Estonia (18.09.2023-20.09.2023)
Konferenzveröffentlichung, Bibliographie

Wainakh, Aidmar ; Zimmer, Ephraim ; Subedi, Sandeep ; Keim, Jens ; Grube, Tim ; Karuppayah, Shankar ; Sanchez Guinea, Alejandro ; Mühlhäuser, Max (2023)
Federated Learning Attacks Revisited: A Critical Discussion of Gaps, Assumptions, and Evaluation Setups.
In: Sensors, 23 (1)
doi: 10.3390/s23010031
Artikel, Bibliographie

Wainakh, Aidmar ; Ventola, Fabrizio ; Müßig, Till ; Keim, Jens ; Carcia Cordero, Carlos ; Zimmer, Ephraim ; Grube, Tim ; Kersting, Kristian ; Mühlhäuser, Max (2022)
User-Level Label Leakage from Gradients in Federated Learning.
In: Proceedings on Privacy Enhancing Technologies (PoPETs), 2022 (2)
doi: 10.2478/popets-2022-0043
Artikel, Bibliographie

Wainakh, Aidmar ; Ventola, Fabrizio ; Müßig, Till ; Keim, Jens ; Garcia Cordero, Carlos ; Zimmer, Ephraim ; Grube, Tim ; Mühlhäuser, Max (2022)
User-Level Label Leakage from Gradients in Federated Learning.
doi: 10.48550/arXiv.2105.09369
Report, Bibliographie

Wainakh, Aidmar (2022)
On Privacy-Enhanced Distributed Analytics in Online Social Networks.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00021034
Dissertation, Erstveröffentlichung, Verlagsversion

Wainakh, Aidmar ; Strassheim, Aleksej ; Grube, Tim ; Daubert, Jörg ; Mühlhäuser, Max (2021)
Enabling Privacy-Preserving Rule Mining in Decentralized Social Networks.
The 16th International Conference on Availability, Reliability and Security (ARES 2021), August 17--20, 2021, Vienna, Austria. Wien (17.08.2021-20.08.2021)
doi: 10.1145/3465481.3465482
Konferenzveröffentlichung, Bibliographie

Borchert, Angela ; Wainakh, Aidmar ; Nicole, Krämer ; Mühlhäuser, Max ; Heisel, Maritta (2021)
The Relevance of Privacy Concerns, Trust, and Risk for Hybrid Social Media.
16th International Conference on Evaluation of Novel Approaches to Software Engineering. virtual Conference (26.04.2021-27.04.2021)
doi: 10.1007/978-3-030-96648-5_5
Konferenzveröffentlichung, Bibliographie

Wainakh, Aidmar ; Müßig, Till ; Grube, Tim ; Mühlhäuser, Max (2021)
Label Leakage from Gradients in Distributed Machine Learning.
18th Annual Consumer Communications & Networking Conference (CCNC). Virtual conference (09.01.2021-12.01.2021)
doi: 10.1109/CCNC49032.2021.9369498
Konferenzveröffentlichung, Bibliographie

Garcia Cordero, Carlos ; Vasilomanolakis, Emmanouil ; Wainakh, Aidmar ; Mühlhäuser, Max ; Nadjm-Tehrani, Simin (2021)
On Generating Network Traffic Datasets with Synthetic Attacks for Intrusion Detection.
In: ACM Transactions on Privacy and Security, 24 (2)
doi: 10.1145/3424155
Artikel, Bibliographie

Borchert, Angela ; Wainakh, Aidmar ; Krämer, Nicole ; Mühlhäuser, Max ; Heisel, Maritta (2021)
Mitigating Privacy Concerns by Developing Trust-Related Software Features for a Hybrid Social Media Application.
16th International Conference on Evaluation of Novel Approaches to Software Engineering. Virtual conference (26.04.2021-27.04.2021)
doi: 10.5220/0010450302690280
Konferenzveröffentlichung, Bibliographie

Wainakh, Aidmar ; Sanchez Guinea, Alejandro ; Grube, Tim ; Mühlhäuser, Max (2020)
Enhancing Privacy via Hierarchical Federated Learning.
5th IEEE European Symposium on Security and Privacy Workshops (EuroS&PW 2020). virtual Conference (07.09.2020-11.09.2020)
doi: 10.1109/EuroSPW51379.2020.00053
Konferenzveröffentlichung, Bibliographie

Garcia Cordero, Carlos ; Vasilomanolakis, Emmanouil ; Wainakh, Aidmar ; Mühlhäuser, Max ; Nadjm-Tehrani, Simin (2019)
On generating network traffic datasets with synthetic attacks for intrusion detection.
doi: 10.48550/arXiv.1905.00304
Report, Bibliographie

Wainakh, Aidmar ; Grube, Tim ; Daubert, Jörg ; Mühlhäuser, Max (2019)
Efficient Privacy-Preserving Recommendations based on Social Graphs.
13th ACM Conference on Recommender Systems (RecSys 2019). Copenhagen, Denmark (16.09.2019-20.09.2019)
doi: 10.1145/3298689.3347013
Konferenzveröffentlichung, Bibliographie

Wainakh, Aidmar ; Grube, Tim ; Daubert, Jörg ; Porth, Carsten ; Mühlhäuser, Max (2019)
Tweet beyond the Cage: A Hybrid Solution for the Privacy Dilemma in Online Social Networks.
IEEE Global Communications Conference (GLOBECOM 2019). Waikoloa, USA (09.12.2019-13.12.2019)
doi: 10.1109/GLOBECOM38437.2019.9013901
Konferenzveröffentlichung, Bibliographie

Siegmund, Dirk ; Wainakh, Aidmar ; Ebert, Tina ; Braun, Andreas ; Kuijper, Arjan (2018)
Text Localization in Born-Digital Images of Advertisements.
Iberoamerican Conference on Pattern Recognition (CIARP). Valparaíso, Chile (07.11.2018-10.11.2018)
doi: 10.1007/978-3-319-75193-1_75
Konferenzveröffentlichung, Bibliographie

Wainakh, Aidmar (2017)
On the Analysis & Generation of Synthetic Attack for Intrusion Detection Systems.
Technische Universität Darmstadt
Masterarbeit, Bibliographie

Siegmund, Dirk ; Fu, Biying ; Samartzidis, Timotheos ; Wainakh, Aidmar ; Kuijper, Arjan ; Braun, Andreas (2016)
Attack Detection in an Autonomous Entrance System using Optical Flow.
7th International Conference on Imaging for Crime Detection and Prevention. Madrid, Spain (23.11.2016-25.11.2016)
doi: 10.1049/ic.2016.0087
Konferenzveröffentlichung, Bibliographie

Siegmund, Dirk ; Wainakh, Aidmar ; Braun, Andreas (2016)
Verification of Single-Person Access in a Mantrap Portal Using RGB-D Images.
XII Workshop de Visão Computacional. Proceedings. Campo Grande, Mato Grosso Do Sul, Brazil (09.11.2016-11.11.2016)
Konferenzveröffentlichung, Bibliographie