most citedEvaluating Post-Quantum Cryptographic Algorithms on Resource-Constrained Devices

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CR2026

A Large-Scale Benchmark and Risk Assessment of Traffic Analysis Attacks on Cloud LLM Services

Shahrooz Pouryousef, Jesus Lopez, Saeefa Rubaiyat Nowmi +5

Cloud-based Large language model (LLM) services create a network-level traffic side channel that can expose model, prompt, and task behavior despite encryption. From packet sizes,…

cs.CR2026

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…

cs.CR2025

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…

cs.LG2025

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…

cs.CR2025★ 1 cited

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…