Leyli Karaçay

Orcid: 0000-0001-8878-9904

According to our database1, Leyli Karaçay authored at least 14 papers between 2020 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Detecting IP DDoS Attacks Using 3GPP Radio Protocols.
IEEE Access, 2024

2023
A security-friendly privacy-preserving solution for federated learning.
Comput. Commun., July, 2023

The Hexa-X Project Vision on Artificial Intelligence and Machine Learning-Driven Communication and Computation Co-Design for 6G.
IEEE Access, 2023

OAI-Based Software Defined Radio Implementation.
Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023

Practical Adversarial Attacks Against AI-Driven Power Allocation in a Distributed MIMO Network.
Proceedings of the IEEE International Conference on Communications, 2023

Network Digital Twins: A Threat Analysis.
Proceedings of the IEEE International Conference on Communications, 2023

On the Security of 6G Use Cases: AI/ML-specific Threat Modeling of All-Senses Meeting.
Proceedings of the 2nd International Conference on 6G Networking, 2023

2022
Context-Aware Authentication with Dynamic Credentials using Electricity Consumption Data.
Comput. J., 2022

A Survey and Guideline on Privacy Enhancing Technologies for Collaborative Machine Learning.
IEEE Access, 2022

A Security-Friendly Privacy Solution for Federated Learning.
Proceedings of the Short Paper Proceedings of the First International Workshop on Artificial Intelligence in Beyond 5G and 6G Wireless Networks (AI6G 2022) co-located with IEEE World Congress on Computational Intelligence (WCCI2022), 2022

On the security of 6G use cases: Threat Analysis of 'All-Senses Meeting'.
Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022

2021
A Network-Based Positioning Method to Locate False Base Stations.
IEEE Access, 2021

SoK: Investigation of Security and Functional Safety in Industrial IoT.
Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2021

2020
Vulnerability Prediction From Source Code Using Machine Learning.
IEEE Access, 2020


  Loading...