most citedSoftware Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms

17 citations · 18 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2023

A Trustable LSTM-Autoencoder Network for Cyberbullying Detection on Social Media Using Synthetic Data

Mst Shapna Akter, Hossain Shahriar, Alfredo Cuzzocrea

Social media cyberbullying has a detrimental effect on human life. As online social networking grows daily, the amount of hate speech also increases. Such terrible content can caus…

cs.CR2023

Feature Engineering-Based Detection of Buffer Overflow Vulnerability in Source Code Using Neural Networks

Mst Shapna Akter, Hossain Shahriar, Juan Rodriguez Cardenas +2

One of the most significant challenges in the field of software code auditing is the presence of vulnerabilities in software source code. Every year, more and more software flaws a…

cs.CV20231 cited

Autism Disease Detection Using Transfer Learning Techniques: Performance Comparison Between Central Processing Unit vs Graphics Processing Unit Functions for Neural Networks

Mst Shapna Akter, Hossain Shahriar, Alfredo Cuzzocrea

Neural network approaches are machine learning methods that are widely used in various domains, such as healthcare and cybersecurity. Neural networks are especially renowned for th…

cs.CR202317 cited

Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms

Mst Shapna Akter, Md Jobair Hossain Faruk, Nafisa Anjum +5

The software supply chain (SSC) attack has become one of the crucial issues that are being increased rapidly with the advancement of the software development domain. In general, SS…