Author

Mariette Awad

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Preprint Aug 2026

RRFC: Recursive Refinement via Feedback Conditioning for Iterative Image-to-Image Generation

Conditional image-to-image generators are single-shot: they map input features to an output in one forward pass and treat it as final, with no opportunity to improve on it. Although trained to produce the best possible result in one step, such a model leaves room for improvement if it can adaptively revise its own outp...

Kareem Hassani, Chaymaa Abbas, Hadi Al-Mubasher et al. · 0 citations

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

Preprint Aug 2026

THESIS-MoE: Trainable Hierarchical Extraction and SteerIng of Sycophancy in Mixture-of-Experts

A shared contrastive signal is introduced that identifies where sycophancy lives across the MoE hierarchy and drives interventions that act only where the behavior is present, demonstrating that sycophancy resides in identifiable computational subcircuits and can be selectively steered while maintaining a favorable rem...

Kareem Hassani, Chaymaa Abbas, Lama Mawlawi 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

Preprint Aug 2026

The Forward-Backward Disconnect: State Dynamics, Credit Assignment, and Biological Grounding in Neural Computation

Across static, recurrent, attention-based, state-space, continuous-time, implicit, spiking, biologically plausible, and neuromorphic families, forward dynamics have diversified while the highest demonstrated scales remain concentrated in global or closely gradient-derived error-propagation mechanisms.

Hadi Al-Mubasher, Mariette Awad · 0 citations