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Found 11 papers, 1 papers with code
A Trustable LSTM-Autoencoder Network for Cyberbullying Detection on Social Media Using Synthetic Data
This paper proposes a trustable LSTM-Autoencoder Network for cyberbullying detection on social media using synthetic data.
Autism Disease Detection Using Transfer Learning Techniques: Performance Comparison Between Central Processing Unit vs Graphics Processing Unit Functions for Neural Networks
Moreover, the performance of the neural network models in terms of accuracy increased on GPU compared to CPU.
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 leverages quantum computing to improve the classical machine learning approach to solve complex real world problems.
Feature Engineering-Based Detection of Buffer Overflow Vulnerability in Source Code Using Neural Networks
We have conducted a comparative analysis between results derived from features containing a minimal text representation and semantic and syntactic information.
Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms
Our goal is to distinguish the performance between QNN and NN and to conduct the experiment, we develop two different models for QNN and NN by utilizing Pennylane for quantum and TensorFlow and Keras for traditional respectively.
Exploring the Vulnerabilities of Machine Learning and Quantum Machine Learning to Adversarial Attacks using a Malware Dataset: A Comparative Analysis
Based on our observations, both ML and QML models exhibit vulnerability to adversarial attacks.
Towards Unsupervised Learning based Denoising of Cyber Physical System Data to Mitigate Security Concerns
Due to the noisy dynamics and mobile environment, the sensor readings can be very noisy.
Deep Learning Approach for Classifying the Aggressive Comments on Social Media: Machine Translated Data Vs Real Life Data
This paper particularly worked on the Hindi, Bangla, and English datasets to detect aggressive comments and have shown a novel way of generating machine-translated data to resolve data unavailability issues.
Automated Vulnerability Detection in Source Code Using Quantum Natural Language Processing
One of the most important challenges in the field of software code audit is the presence of vulnerabilities in software source code.
Multi-class Skin Cancer Classification Architecture Based on Deep Convolutional Neural Network
Furthermore, we develop five different stacking models such as inceptionv3-inceptionv3, Densenet-mobilenet, inceptionv3-Xception, Resnet50-Vgg16, and stack-six for classifying the skin lesions and found that the stacking models perform poorly.
Handwritten Word Recognition using Deep Learning Approach: A Novel Way of Generating Handwritten Words
We have also demonstrated the process of recognizing handwritten documents using the deep learning model.
