Detecting the adversarially-learned injection attacks via knowledge graphs.

MLU-Net: A Multi-Level Lightweight U-Net for Medical Image Segmentation Integrating Frequency Representation and MLP-Based Methods.

A detection method for hybrid attacks in recommender systems.

An unsupervised detection method for shilling attacks based on deep learning and community detection.

Detecting Shilling Attacks with Automatic Features from Multiple Views.

Multiview Ensemble Method for Detecting Shilling Attacks in Collaborative Recommender Systems.

Detecting shilling profiles in collaborative recommender systems via multidimensional profile temporal features.