2021

Wainakh, Aidmar ; Müßig, Till ; Grube, Tim ; Mühlhäuser, Max (2021):
Label Leakage from Gradients in Distributed Machine Learning.
In: CCNC 2021: 2021 IEEE 18th Annual ConsumerCommunications & Networking Conference (CCNC),
IEEE, 18th Annual Consumer Communications & Networking Conference (CCNC), Virtual conference, 09.-12.01.2021, ISSN 2331-9852, e-ISSN 2331-9860, ISBN 978-1-7281-9794-4,
DOI: 10.1109/CCNC49032.2021.9369498,
[Konferenzveröffentlichung]

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), ACM, ISSN 2471-2566,
DOI: 10.1145/3424155,
[Artikel]

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.
In: Proceedings of the 16th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE, S. 269-280,
SciTePress, 16th International Conference on Evaluation of Novel Approaches to Software Engineering, Virtual conference, 26-27.04.2021, ISSN 2184-4895, ISBN 978-989-758-508-1,
DOI: 10.5220/0010450302690280,
[Konferenzveröffentlichung]

2020

Wainakh, Aidmar ; Sanchez Guinea, Alejandro ; Grube, Tim ; Mühlhäuser, Max (2020):
Enhancing Privacy via Hierarchical Federated Learning.
In: Proceedings : 5th IEEE European Symposium on Security and Privacy Workshops, S. 344-347,
IEEE, 6th International Workshop on Privacy Engineering (IWPE'20), Virtual Conference, 07.-11.09.2020, ISBN 978-1-7281-8597-2,
DOI: 10.1109/EuroSPW51379.2020.00053,
[Konferenzveröffentlichung]

2019

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.
S. 1-6, IEEE, IEEE Global Communications Conference (GLOBECOM 2019), Waikoloa, USA, 09.-13.12., ISBN 978-1-7281-0962-6,
DOI: 10.1109/GLOBECOM38437.2019.9013901,
[Konferenzveröffentlichung]

Wainakh, Aidmar ; Grube, Tim ; Daubert, Jörg ; Mühlhäuser, Max (2019):
Efficient Privacy-Preserving Recommendations based on Social Graphs.
S. 78-86, ACM, 13th ACM Conference on Recommender Systems (RecSys 2019), Copenhagen, Denmark, 16.-20.09., ISBN 9781450362436,
DOI: 10.1145/3298689.3347013,
[Konferenzveröffentlichung]

Garcia Cordero, Carlos ; Vasilomanolakis, Emmanouil ; Wainakh, Aidmar ; Mühlhäuser, Max ; Nadjm-Tehrani, Simin (2019):
On generating network traffic datasets with synthetic attacks for intrusion detection.
In: CoRR: Computing Research Repository, (abs/1905.00304), [Artikel]

2018

Siegmund, Dirk ; Wainakh, Aidmar ; Ebert, Tina ; Braun, Andreas ; Kuijper, Arjan (2018):
Text Localization in Born-Digital Images of Advertisements.
In: Lecture Notes in Computer Science (LNCS), 10657, In: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, S. 627-634,
Cham, Springer, Iberoamerican Conference on Pattern Recognition (CIARP), Valparaíso, Chile, 2017, ISSN 0302-9743,
DOI: 10.1007/978-3-319-75193-1_75,
[Konferenzveröffentlichung]

2017

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

2016

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, 23-25 Nov. 2016, DOI: 10.1049/ic.2016.0087,
[Konferenzveröffentlichung]

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, November 9-11 2016​, [Konferenzveröffentlichung]