15 citations · 47 across the 20 of their papers we have counts for
21 papers
A Survey on Cloud-Based 6G Deployments: Current Solutions, Future Directions and Open Challenges
Tolga O. Atalay, Alireza Famili, Amirreza Ghafoori +1
The next generation of cellular networks is designed to provide ubiquitous connectivity to a wide range of devices. As Telecommunication Service Providers (TSPs) increasingly colla…
Towards xApp Conflict Evaluation with Explainable Machine Learning and Causal Inference in O-RAN
Pragya Sharma, Shihua Sun, Shachi Deshpande +2
The Open Radio Access Network (O-RAN) architecture enables a flexible, vendor-neutral deployment of 5G networks by disaggregating base station components and supporting third-party…
5GC-Bench: A Framework for Stress-Testing and Benchmarking 5G Core VNFs
Ioannis Panitsas, Tolga O. Atalay, Dragoslav Stojadinovic +2
The disaggregated, cloud-native design of the 5G Core (5GC) enables flexibility and scalability but introduces significant challenges. Control-plane procedures involve complex inte…
SlicePilot: Demystifying Network Slice Placement in Heterogeneous Cloud Infrastructures
Ioannis Panitsas, Tolga O. Atalay, Dragoslav Stojadinovic +2
Cellular networks are comprised of software-based entities, with main functions encapsulated as Virtual Network Functions (VNFs) deployed on Commercial-off-the-Shelf (COTS) hardwar…
ViTGuard: Attention-aware Detection against Adversarial Examples for Vision Transformer
Shihua Sun, Kenechukwu Nwodo, Shridatt Sugrim +2
The use of transformers for vision tasks has challenged the traditional dominant role of convolutional neural networks (CNN) in computer vision (CV). For image classification tasks…
FedMADE: Robust Federated Learning for Intrusion Detection in IoT Networks Using a Dynamic Aggregation Method
Shihua Sun, Pragya Sharma, Kenechukwu Nwodo +2
The rapid proliferation of Internet of Things (IoT) devices across multiple sectors has escalated serious network security concerns. This has prompted ongoing research in Machine L…