4 citations · 4 across the 3 of their papers we have counts for
3 papers
eess.AS2026★ 4 cited
Benchmarking Audio Deepfake Detection Robustness in Real-world Communication Scenarios
Haohan Shi, Xiyu Shi, Safak Dogan +3
Existing Audio Deepfake Detection (ADD) systems often struggle to generalise effectively due to the significantly degraded audio quality caused by audio codec compression and chann…
cs.CV2026
Causal Transfer in Medical Image Analysis
Mohammed M. Abdelsamea, Daniel Tweneboah Anyimadu, Tasneem Selim +4
Medical imaging models frequently fail when deployed across hospitals, scanners, populations, or imaging protocols due to domain shift, limiting their clinical reliability. While t…
cs.CR2026
UNAD+: An Explainable Hybrid Framework for Unknown Network Attack Detection
Saif Alzubi, Frederic Stahl
The detection of previously unseen network attacks remains a major challenge for intrusion detection systems. Although supervised learning methods often perform well on known attac…