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Husnain Rafiq
Husnain Rafiq
Lecturer in Cyber Security, Edge Hill University, Ormskirk, UK
Verified email at edgehill.ac.uk
Title
Cited by
Cited by
Year
Security hardening of botnet detectors using generative adversarial networks
RH Randhawa, N Aslam, M Alauthman, H Rafiq, F Comeau
IEEE Access 9, 78276-78292, 2021
202021
Mitigating Malicious Adversaries Evasion Attacks in Industrial Internet of Things
H Rafiq, N Aslam, U Ahmed, JCW Lin
IEEE Transactions on Industrial Informatics 19 (1), 960-968, 2022
92022
Android malware classification using machine learning and bio-inspired optimisation algorithms
J Pye, B Issac, H Rafiq, N Aslam
19th IEEE International Conference on Trust, Security and Privacy in …, 2020
72020
An investigation on fragility of machine learning classifiers in android malware detection
H Rafiq, N Aslam, B Issac, RH Randhawa
IEEE INFOCOM 2022-IEEE Conference on Computer Communications Workshops …, 2022
52022
Deep reinforcement learning based Evasion Generative Adversarial Network for botnet detection
RH Randhawa, N Aslam, M Alauthman, M Khalid, H Rafiq
Future Generation Computer Systems 150, 294-302, 2024
42024
AndroMalPack: enhancing the ML-based malware classification by detection and removal of repacked apps for Android systems
H Rafiq, N Aslam, M Aleem, B Issac, RH Randhawa
Scientific Reports 12 (1), 19534, 2022
42022
Evasion generative adversarial network for low data regimes
RH Randhawa, N Aslam, M Alauthman, H Rafiq
IEEE Transactions on Artificial Intelligence, 2022
32022
Key to Kindness: Reducing Toxicity In Online Discourse Through Proactive Content Moderation in a Mobile Keyboard
M Warner, A Strohmayer, M Higgs, H Rafiq, L Yang, L Coventry
arXiv preprint arXiv:2401.10627, 2024
2024
AI-Based Hand Gesture Recognition Through Camera on Robot
G Csonka, M Khalid, H Rafiq, Y Ali
2023 International Conference on Frontiers of Information Technology (FIT …, 2023
2023
On Impact of Adversarial Evasion Attacks on ML-based Android Malware Classifier Trained on Hybrid Features
H Rafiq, N Aslam, B Issac, RH Randhawa
2022 14th International Conference on Software, Knowledge, Information …, 2022
2022
Android malware detection using machine learning to mitigate adversarial evasion attacks
H Rafiq
PQDT-Global, 2022
2022
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Articles 1–11