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

31 May 2023

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

4 / 4 papers shown

Title
Network Attack Traffic Detection With Hybrid Quantum-Enhanced Convolution Neural Network Zihao Wang K. Fok V. Thing 34 0 0 29 Apr 2025
Exploring the Vulnerabilities of Machine Learning and Quantum Machine Learning to Adversarial Attacks using a Malware Dataset: A Comparative Analysis Mst. Shapna Akter Hossain Shahriar Iysa Iqbal M. Hossain M. A. Karim Victor A. Clincy R. Voicu AAML 28 8 0 31 May 2023
Towards Unsupervised Learning based Denoising of Cyber Physical System Data to Mitigate Security Concerns Mst. Shapna Akter Hossain Shahriar 27 0 0 13 Mar 2023
Ransomware Classification and Detection With Machine Learning Algorithms Mohammad Masum Md Jobair Hossain Faruk Hossain Shahriar Kai Qian D. Lo M. I. Adnan 34 60 0 02 Jul 2022