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

A 33.06-Gb/s Reconfigurable Galois Field oFEC Decoder for Optical Intersatellite Communication

Abstract: We introduce a high-throughput reconfigurable forward error correction (FEC) decoder capable of decoding BCH, RS, and open FEC (oFEC) codes. With a ...
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 ...