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Wainakh, Aidmar
20  results:
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1

Label-Aware Aggregation for Improved Federated Learning:

, In: 2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC),
Khalil, Ahmad ; Wainakh, Aidmar ; Zimmer, Ephraim... - p. 216-223 , 2023
Link: https://doi.org/10.1109/..
 
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2

On Privacy-Enhanced Distributed Analytics in Online Social ..:

Wainakh, Aidmar , 2022
Link: https://nbn-resolving.de..
 
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3

The Relevance of Privacy Concerns, Trust, and Risk for Hybr..:

, In: Communications in Computer and Information Science; Evaluation of Novel Approaches to Software Engineering,
Borchert, Angela ; Wainakh, Aidmar ; Krämer, Nicole.. - p. 88-111 , 2022
Link: https://doi.org/10.1007/..
 
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4

User-Level Label Leakage from Gradients in Federated Learni..:

Wainakh, Aidmar ; Ventola, Fabrizio ; Müßig, Till...
Proceedings on Privacy Enhancing Technologies.  2022 (2022)  2 - p. 227-244 , 2022
Link: https://doi.org/10.2478/..
 
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5

Federated Learning Attacks Revisited: A Critical Discussion..:

Wainakh, Aidmar ; Zimmer, Ephraim ; Subedi, Sandeep...
Sensors.  23 (2022)  1 - p. 31 , 2022
Link: https://doi.org/10.3390/..
 
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6

On Generating Network Traffic Datasets with Synthetic Attac..:

Cordero, Carlos Garcia ; Vasilomanolakis, Emmanouil ; Wainakh, Aidmar..
ACM Transactions on Privacy and Security (TOPS).  24 (2021)  2 - p. 1-39 , 2021
Link: https://dl.acm.org/doi/1..
 
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7

On Generating Network Traffic Datasets with Synthetic Attac..:

Cordero, Carlos Garcia ; Vasilomanolakis, Emmanouil ; Wainakh, Aidmar..
ACM Transactions on Privacy and Security.  24 (2021)  2 - p. 1-39 , 2021
Link: https://doi.org/10.1145/..
 
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8

Enabling Privacy-Preserving Rule Mining in Decentralized So..:

, In: Proceedings of the 16th International Conference on Availability, Reliability and Security,
Wainakh, Aidmar ; Strassheim, Aleksej ; Grube, Tim.. - p. 1-11 , 2021
Link: https://dl.acm.org/doi/1..
 
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9

Enhancing Privacy via Hierarchical Federated Learning:

, In: 2020 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW),
Wainakh, Aidmar ; Guinea, Alejandro Sanchez ; Grube, Tim. - p. 344-347 , 2020
Link: https://doi.org/10.1109/..
 
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10

Tweet beyond the Cage: A Hybrid Solution for the Privacy Di..:

, In: 2019 IEEE Global Communications Conference (GLOBECOM),
Wainakh, Aidmar ; Grube, Tim ; Daubert, Jorg.. - p. 1-6 , 2019
Link: https://doi.org/10.1109/..
 
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11

Efficient privacy-preserving recommendations based on socia..:

, In: Proceedings of the 13th ACM Conference on Recommender Systems,
Wainakh, Aidmar ; Grube, Tim ; Daubert, Jörg. - p. 78-86 , 2019
Link: https://dl.acm.org/doi/1..
 
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12

Label-Aware Aggregation for Improved Federated Learning:

Khalil, Ahmad ; Wainakh, Aidmar ; Zimmer, Ephraim...
MAKI.  , 2023
Link: https://hdl.handle.net/2..
 
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13

On Privacy-Enhanced Distributed Analytics in Online Social ..:

Wainakh, Aidmar
https://tuprints.ulb.tu-darmstadt.de/21034/1/2022-02-07_Wainakh_Aidmar.pdf.  , 2022
Link: http://tuprints.ulb.tu-d..
 
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14

Federated Learning Attacks Revisited: A Critical Discussion..:

Wainakh, Aidmar ; Zimmer, Ephraim ; Subedi, Sandeep...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824092/.  , 2022
Link: http://www.ncbi.nlm.nih...
 
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15

User-Level Label Leakage from Gradients in Federated Learni..:

Wainakh, Aidmar ; Ventola, Fabrizio ; Müßig, Till...
http://arxiv.org/abs/2105.09369.  , 2021
Link: http://arxiv.org/abs/210..
 
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