GitHub

Making Acoustic Side-Channel Attacks on Noisy Keyboards Viable with LLM-Assisted Spectrograms "Typo" Correction

This repo is the implementation of a research project aimed at enhancing Acoustic Side-Channel Attacks (ASCAs) using a novel combination of Vision Transformers (VTs) and Large Language Models (LLMs).
IEEE

Novel Visualization of Audio Signals via Clustering and Curve-fitting of Reassigned Spectrograms

Abstract: This paper presents a novel approach for creating more meaningful visual representations of audio time-frequency information. Conventional spectrograms, while effective for visualizing ...
IEEE

Model-Guided Deep Learning for Line Segment Detection in Time–Frequency Spectrograms of an Ocean Waveguide

Abstract: The application of machine learning in underwater acoustics is often limited by the lack of high-quality data. One method to avoid this data issue is to use modeled data to train a machine ...
Bleeping Computer

Microsoft releases OOB Windows updates to fix shutdown, Cloud PC bugs

Microsoft has released multiple emergency, out-of-band updates for Windows 10, Windows 11, and Windows Server to fix two issues caused by the January Patch Tuesday updates. The first issue impacts ...
Frontiers

Integration of PCG spectrogram texture and deep features for the diagnosis of heart failure with preserved ejection fraction using heterogeneous stacking ensemble learning

This study proposes a novel heterogeneous stacking ensemble learning model for the fusion of phonocardiogram (PCG) spectrogram texture and deep features to detect heart failure with preserved ejection ...