Author

Maria Slim

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Preprint Sep 2026

Where to Defend? Layer-Wise Adversarial Training for Robust Transformer-Based Semantic Communications

Deep learning-based semantic communication (DeepSC), a Transformer-based encoder-decoder, achieves semantic fidelity over noisy channels but remains vulnerable to adversarial perturbations injected at multiple stages of the pipeline. We present a layer-wise robustness framework that compares fast gradient sign method (...

Maria Slim, Razane Tajeddine, Mariette Awad et al. · 0 citations

#machine learning Preprint Sep 2026

Channel-Adaptive Region Adjacency Graph Carriers for Semantic Image Communication

A segmentation-derived region adjacency graph (RAG) carrier, termed channel-adaptive RAG (CA-RAG), for joint source-channel coding-style image communication, with higher semantic consistency than deep joint source-channel coding and a same-decoder layout baseline, with comparable perceptual quality.

Karim Abdallah, Maria Slim, Mariette Awad et al. · 0 citations

#machine learning Preprint Sep 2026

Privacy-Preserving Deep Joint Source-Channel Coding with In-Loop Concept Erasure

LEAPSC (LEACE-in-the-loop privacy for semantic communication), whose core contribution is the integration of in-loop least-squares concept erasure (LEACE) within a variational information bottleneck (VIB) encoder, improves robustness across channel conditions and over the high-leakage tail of samples.

Rami Eid, Maria Slim, Mariette Awad et al. · 0 citations