Ilias Siniosoglou

Orcid: 0000-0001-9844-8185

According to our database1, Ilias Siniosoglou authored at least 26 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Applied Federated Model Personalisation in the Industrial Domain: A Comparative Study.
CoRR, 2024

CloudCap (C2app) : A Cloud-Based Platform for Packet Analysis On The Edge.
CoRR, 2024

Evaluating the Efficacy of AI Techniques in Textual Anonymization: A Comparative Study.
CoRR, 2024

Evaluating the Energy Efficiency of Few-Shot Learning for Object Detection in Industrial Settings.
CoRR, 2024

A Closer Look at Data Augmentation Strategies for Finetuning-Based Low/Few-Shot Object Detection.
Proceedings of the 14th IEEE International Symposium on Industrial Embedded Systems, 2024

Benchmarking Advanced Text Anonymisation Methods: A Comparative Study on Novel and Traditional Approaches.
Proceedings of the 13th International Conference on Modern Circuits and Systems Technologies, 2024

Enhancing Performance for Highly Imbalanced Medical Data via Data Regularization in a Federated Learning Setting.
Proceedings of the Artificial Intelligence in Healthcare - First International Conference, 2024

2023


Post-Processing Fairness Evaluation of Federated Models: An Unsupervised Approach in Healthcare.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Evaluating the Effect of Volatile Federated Timeseries on Modern DNNs: Attention over Long/Short Memory.
Proceedings of the 12th International Conference on Modern Circuits and Systems Technologies, 2023

Applying Federated Learning on Decentralized Smart Farming: A Case Study.
Proceedings of the IEEE International Conference on Communications, 2023

Personalisation of Federated Learning Models Through Knowledge Distillation on Decentralised Data.
Proceedings of the IEEE Globecom Workshops 2023, 2023


2022


A Robust Deep Learning Architecture for FireFighter PPEs Detection.
Proceedings of the 8th IEEE World Forum on Internet of Things, 2022

Unsupervised Bias Evaluation of DNNs in non-IID Federated Learning Through Latent micro-Manifolds.
Proceedings of the IEEE INFOCOM 2022, 2022

2021
A Unified Deep Learning Anomaly Detection and Classification Approach for Smart Grid Environments.
IEEE Trans. Netw. Serv. Manag., 2021

Federated Intrusion Detection In NG-IoT Healthcare Systems: An Adversarial Approach.
Proceedings of the ICC 2021, 2021

Covert Distributed Training of Deep Federated Industrial Honeypots.
Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021

Synthetic Traffic Signs Dataset for Traffic Sign Detection & Recognition In Distributed Smart Systems.
Proceedings of the 17th International Conference on Distributed Computing in Sensor Systems, 2021

Unsupervised Ethical Equity Evaluation of Adversarial Federated Networks.
Proceedings of the ARES 2021: The 16th International Conference on Availability, 2021

2020
Implementation and Detection of Modbus Cyberattacks.
Proceedings of the 9th International Conference on Modern Circuits and Systems Technologies, 2020

NeuralPot: An Industrial Honeypot Implementation Based On Deep Neural Networks.
Proceedings of the IEEE Symposium on Computers and Communications, 2020

2019
A Novel and Interactive Industrial Control System Honeypot for Critical Smart Grid Infrastructure.
Proceedings of the 24th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2019


  Loading...