4 papers · 1 filter
Channel-Adaptive Region Adjacency Graph Carriers for Semantic Image Communication
Karim Abdallah, Maria Slim, Mariette Awad +1
Semantic image communication seeks to preserve task-relevant scene structure under limited channel resources, but carriers are often dense latent tensors or grid-aligned semantic l…
Krum-Inspired Central Teacher Selection and Residual Channel Bottlenecks for Efficient DeepSC
Rami Eid, Mostafa Jammoul, Omar Kaaki +3
Deploying transformer-based semantic communication models on edge devices requires compression that preserves semantic fidelity under channel variability. We study a compressed dee…
Privacy-Preserving Deep Joint Source-Channel Coding with In-Loop Concept Erasure
Rami Eid, Maria Slim, Mariette Awad +1
Deep joint source-channel coding (DeepJSCC) transmits learned semantic features efficiently but can leak sensitive attributes such as gender, race, or speaker identity. We propose…
Where to Defend? Layer-Wise Adversarial Training for Robust Transformer-Based Semantic Communications
Maria Slim, Razane Tajeddine, Mariette Awad +1
Deep learning-based semantic communication (DeepSC), a Transformer-based encoder-decoder, achieves semantic fidelity over noisy channels but remains vulnerable to adversarial pertu…