The purpose of this task is to visually demonstrate how the K-Nearest Neighbors (KNN) algorithm separates different classes using decision boundaries. This is achieved by training a KNN model on the ...

Deepfake detection has gained increasing research attention in media forensics, and a variety of works have been produced. However, subtle artifacts might be eliminated by compression, and the ...

Therefore, in this article, we propose a fast and secure kNN classification protocol, namely FSkNN, over distributed databases deployed in multiple clouds under the semi-honest model. Particularly, we ...