Author

Aakash Saini

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#machine learning Preprint Oct 2026

On the Adversarial Vulnerability of Neural Receivers with Unrolled LDPC Decoders

It is shown that standard gradient-based attacks applied end-to-end through an unrolled low-density parity-check decoder fail to significantly outperform a matched-power Gaussian perturbation, and two structurally independent loss functions are proposed that restore attack efficacy.

Aakash Saini, Jafar Mohammadi, Wolfgang H. Gerstacker · 0 citations