research
∙
06/01/2023
Case Study-Based Approach of Quantum Machine Learning in Cybersecurity: Quantum Support Vector Machine for Malware Classification and Protection
Quantum machine learning (QML) is an emerging field of research that lev...
share
research
∙
09/03/2022
Negative Selection Approach to support Formal Verification and Validation of BlackBox Models' Input Constraints
Generating unsafe sub-requirements from a partitioned input space to sup...
research
∙
07/06/2022
Mitigating shortage of labeled data using clustering-based active learning with diversity exploration
In this paper, we proposed a new clustering-based active learning framew...
research
∙
06/27/2021
Who is Responsible for Adversarial Defense?
We have seen a surge in research aims toward adversarial attacks and def...
research
∙
05/13/2021
Negative Selection Algorithm Research and Applications in the last decade: A Review
The Negative selection Algorithm (NSA) is one of the important methods i...
research
∙
07/24/2020
Study of Different Deep Learning Approach with Explainable AI for Screening Patients with COVID-19 Symptoms: Using CT Scan and Chest X-ray Image Dataset
The outbreak of COVID-19 disease caused more than 100,000 deaths so far ...
research
∙
07/05/2020
CIDMP: Completely Interpretable Detection of Malaria Parasite in Red Blood Cells using Lower-dimensional Feature Space
Predicting if red blood cells (RBC) are infected with the malaria parasi...
research
∙
07/01/2020
