3 papers
cs.IT2026
Discrete-Space Generative AI Pipeline for Semantic Transmission of Signals
Silvija Kokalj-Filipovic, Yagna Kaasaragadda
We introduce Discernment, a semantic communication system that transmits the meaning of physical signals (baseband radio and audio) over a technical channel using GenAI models oper…
cs.LG2025
A look at adversarial attacks on radio waveforms from discrete latent space
Attanasia Garuso, Silvija Kokalj-Filipovic, Yagna Kaasaragadda
Having designed a VQVAE that maps digital radio waveforms into discrete latent space, and yields a perfectly classifiable reconstruction of the original data, we here analyze the a…
cs.LG2024
ReFormer: Generating Radio Fakes for Data Augmentation
Yagna Kaasaragadda, Silvija Kokalj-Filipovic
We present ReFormer, a generative AI (GAI) model that can efficiently generate synthetic radio-frequency (RF) data, or RF fakes, statistically similar to the data it was trained on…