4 papers
McNdroid: A Longitudinal Multimodal Benchmark for Robust Drift Detection in Android Malware
Md Mahmuduzzaman Kamol, Jesus Lopez, Saeefa Rubaiyet Nowmi +5
Machine learning (ML) in real-world systems must contend with concept drift, adversarial actors, and a spectrum of potential features with varying costs and benefits. Malware natur…
SoK: Critical Evaluation of Quantum Machine Learning for Adversarial Robustness
Saeefa Rubaiyet Nowmi, Jesus Lopez, Md Mahmudul Alam Imon +2
Quantum Machine Learning (QML) integrates quantum computational principles into learning algorithms, offering improved representational capacity and computational efficiency. Howev…
Towards Quantum Machine Learning for Malicious Code Analysis
Jesus Lopez, Saeefa Rubaiyet Nowmi, Viviana Cadena +1
Classical machine learning (CML) has been extensively studied for malware classification. With the emergence of quantum computing, quantum machine learning (QML) presents a paradig…
Evaluating Post-Quantum Cryptographic Algorithms on Resource-Constrained Devices
Jesus Lopez, Viviana Cadena, Mohammad Saidur Rahman
The rapid advancement of quantum computing poses a critical threat to classical cryptographic algorithms such as RSA and ECC, particularly in Internet of Things (IoT) devices, wher…