Speaker Verification (SV) is widely deployed in mobile systems to
authen...
Automated log analysis is crucial in modern software-intensive systems f...
In this work, we consider a covert communication scenario, where a
trans...
Objective: Seizure prediction is of great importance to improve the life...
Current fake audio detection relies on hand-crafted features, which lose...
Existing fake audio detection systems perform well in in-domain testing,...
Pan-sharpening aims to generate a high-resolution multispectral (HRMS) i...
Self-supervised learning (SSL) is a commonly used approach to learning a...
Federated learning is a promising paradigm that allows multiple clients ...
Deep neural networks (DNNs) are vulnerable to backdoor attacks, where
ad...
Protein-ligand binding prediction is a fundamental problem in AI-driven ...
As an excellent tool for aiding communication, intelligent reflecting su...
The existing fake audio detection systems often rely on expert experienc...
Throughput capacity of large ad hoc networks has been shown to scale
adv...
Learning the similarity between structured data, especially the graphs, ...
Electroencephalogram (EEG) decoding aims to identify the perceptual,
sem...
Deep CNN-based methods have so far achieved the state of the art results...
As Deep Packet Inspection (DPI) middleboxes become increasingly popular,...
Automatic arrhythmia detection using 12-lead electrocardiogram (ECG) sig...
Train machine learning models on sensitive user data has raised increasi...
Efforts by online ad publishers to circumvent traditional ad blockers to...