Mst. Shapna Akter

Orcid: 0000-0002-9859-6265

According to our database1, Mst. Shapna Akter authored at least 31 papers between 2022 and 2024.

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Bibliography

2024
Towards Analysis and Interpretation of Large Language Models for Arithmetic Reasoning.
Proceedings of the 11th IEEE Swiss Conference on Data Science, 2024

M-DBSCAN: Modified DBSCAN Clustering Algorithm for Detecting and Controlling Outliers.
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

Enhancing HIPAA Compliance in AI-driven mHealth Devices Security and Privacy.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

Authentic Learning on DevOps Security with Labware: Git Hooks To Facilitate Automated Security Static Analysis.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

Fine-Tuned Variational Quantum Classifiers for Cyber Attacks Detection Based on Parameterized Quantum Circuits and Optimizers.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

Architecture Design and Implementation of a Security Threat Data Sharing Platform.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

Mitigating Insecure Outputs in Large Language Models(LLMs): A Practical Educational Module.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

Quantum Adversarial Attacks: Developing Quantum FGSM Algorithm.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

Uncovering the Interpretation of Large Language Models.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

Authentic Learning Approach for Data Poisoning Vulnerability in LLMs.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

2023
Teaching DevOps Security Education with Hands-on Labware: Automated Detection of Security Weakness in Python.
CoRR, 2023

A Trustable LSTM-Autoencoder Network for Cyberbullying Detection on Social Media Using Synthetic Data.
CoRR, 2023

Quantum Cryptography for Enhanced Network Security: A Comprehensive Survey of Research, Developments, and Future Directions.
CoRR, 2023

Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms.
CoRR, 2023

Case Study-Based Approach of Quantum Machine Learning in Cybersecurity: Quantum Support Vector Machine for Malware Classification and Protection.
CoRR, 2023

Authentic Learning Approach for Artificial Intelligence Systems Security and Privacy.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Feature Engineering-Based Detection of Buffer Overflow Vulnerability in Source Code Using Neural Networks.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Autism Disease Detection Using Transfer Learning Techniques: Performance Comparison Between Central Processing Unit vs Graphics Processing Unit Functions for Neural Networks.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Case Study-Based Approach of Quantum Machine Learning in Cybersecurity: Quantum Support Vector Machine for Malware Classification and Protection.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Understanding Rural women's Experience in STEM and Non-STEM field in Bangladesh.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

A Trustable LSTM-Autoencoder Network for Cyberbullying Detection on Social Media Using Synthetic Data.
Proceedings of the IEEE International Conference on Big Data, 2023

Quantum Cryptography for Enhanced Network Security: A Comprehensive Survey of Research, Developments, and Future Directions.
Proceedings of the IEEE International Conference on Big Data, 2023

Exploring the Vulnerabilities of Machine Learning and Quantum Machine Learning to Adversarial Attacks Using a Malware Dataset: A Comparative Analysis.
Proceedings of the IEEE International Conference on Software Services Engineering, 2023

2022
Forecasting the Risk Factor of Frontier Markets: A Novel Stacking Ensemble of Neural Network Approach.
Future Internet, 2022

Automated Vulnerability Detection in Source Code Using Quantum Natural Language Processing.
Proceedings of the Ubiquitous Security - Second International Conference, 2022

DuRBIN: A Comprehensive Approach to Analysis and Detection of Emerging Threats due to Network Intrusion.
Proceedings of the IEEE Intl. Conf. on Dependable, 2022

Towards Unsupervised Learning based Denoising of Cyber Physical System Data to Mitigate Security Concerns.
Proceedings of the 10th IEEE Conference on Communications and Network Security, 2022

Multi-class Skin Cancer Classification Architecture Based on Deep Convolutional Neural Network.
Proceedings of the IEEE International Conference on Big Data, 2022

Handwritten Word Recognition using Deep Learning Approach: A Novel Way of Generating Handwritten Words.
Proceedings of the IEEE International Conference on Big Data, 2022

Deep Learning Approach for Classifying the Aggressive Comments on Social Media: Machine Translated Data Vs Real Life Data.
Proceedings of the IEEE International Conference on Big Data, 2022

Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms.
Proceedings of the IEEE International Conference on Big Data, 2022


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