3 papers
cs.LG2026
GraphK: Variable-Size Graph Generation with Efficient Edge Construction
Resul Tugay, Eren Oluğ, Elif Ak +1
Graph generation models have advanced significantly with deep learning, yet they remain limited in scalability, flexibility, and ability to model underlying structures. We present…
cs.CR2025
Adaptive Intrusion Detection for Evolving RPL IoT Attacks Using Incremental Learning
Sumeyye Bas, Kiymet Kaya, Elif Ak +1
The routing protocol for low-power and lossy networks (RPL) has become the de facto routing standard for resource-constrained IoT systems, but its lightweight design exposes critic…
cs.LG2025
WBHT: A Generative Attention Architecture for Detecting Black Hole Anomalies in Backbone Networks
Kiymet Kaya, Elif Ak, Sule Gunduz Oguducu
We propose the Wasserstein Black Hole Transformer (WBHT) framework for detecting black hole (BH) anomalies in communication networks. These anomalies cause packet loss without fail…