1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CR2025
Deep Sequence-to-Sequence Models for GNSS Spoofing Detection
Jan Zelinka, Oliver Kost, Marek Hrúz
We present a data generation framework designed to simulate spoofing attacks and randomly place attack scenarios worldwide. We apply deep neural network-based models for spoofing d…
eess.AS2018★ 1 cited
A Comparison of Adaptation Techniques and Recurrent Neural Network Architectures
Jan Vanek, Josef Michalek, Jan Zelinka +1
Recently, recurrent neural networks have become state-of-the-art in acoustic modeling for automatic speech recognition. The long short-term memory (LSTM) units are the most popular…