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).
Abstract: In this study, we explore the potential of utilizing transformers in a limited data setting. We propose a teacher-student framework to train transformers for classifying lung diseases using ...
Abstract: Neural vocoders often struggle with aliasing in latent feature spaces, caused by time-domain nonlinear operations and resampling layers. Aliasing folds high-frequency components into the low ...
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