research
∙
12/21/2019
Data Augmentation by AutoEncoders for Unsupervised Anomaly Detection
This paper proposes an autoencoder (AE) that is used for improving the p...
share
research
∙
11/05/2019
Detecting Point Outliers Using Prune-based Outlier Factor (PLOF)
Outlier detection (also known as anomaly detection or deviation detectio...
research
∙
08/21/2019
A Multi-level Clustering Approach for Anonymizing Large-Scale Physical Activity Data
Publishing physical activity data can facilitate reproducible health-car...
research
∙
03/28/2019
Extending Signature-based Intrusion Detection Systems WithBayesian Abductive Reasoning
Evolving cybersecurity threats are a persistent challenge for systemadmi...
research
∙
01/17/2019
Video-Based Pedestrian Attribute Recognition
In this paper, we first tackle the problem of pedestrian attribute recog...
research
∙
08/10/2018
Using Randomness to Improve Robustness of Machine-Learning Models Against Evasion Attacks
Machine learning models have been widely used in security applications s...
research
∙
01/09/2018
