Android Malware Classification Using Machine Learning and Bio-Inspired Optimisation Algorithms. - Jack Pye; Biju Issac 001; Nauman Aslam; Husnain Rafiq (TrustCom, 2020)

Security Hardening of Botnet Detectors Using Generative Adversarial Networks. - Rizwan Hamid Randhawa; Nauman Aslam; Mohammad Alauthman; Husnain Rafiq; Frank Comeau (IEEE Access, 2021)

EVAGAN: Evasion Generative Adversarial Network for Low Data Regimes. - Rizwan Hamid Randhawa; Nauman Aslam; Mohammad Alauthman; Husnain Rafiq; Muhammad Khalid (CoRR, 2021)

An Investigation on Fragility of Machine Learning Classifiers in Android Malware Detection. - Husnain Rafiq; Nauman Aslam; Biju Issac 001; Rizwan Hamid Randhawa (INFOCOM Workshops, 2022)

On Impact of Adversarial Evasion Attacks on ML-based Android Malware Classifier Trained on Hybrid Features. - Husnain Rafiq; Nauman Aslam; Biju Issac 001; Rizwan Hamid Randhawa (SKIMA, 2022)

Android malware detection using machine learning to mitigate adversarial evasion attacks. - Husnain Rafiq (2022)

AI-Based Hand Gesture Recognition Through Camera on Robot. - Gergo Csonka; Muhammad Khalid; Husnain Rafiq; Yasir Ali (FIT, 2023)

Mitigating Malicious Adversaries Evasion Attacks in Industrial Internet of Things. - Husnain Rafiq; Nauman Aslam; Usman Ahmed; Jerry Chun-Wei Lin (IEEE Trans. Ind. Informatics, 2023)

Evasion Generative Adversarial Network for Low Data Regimes. - Rizwan Hamid Randhawa; Nauman Aslam; Mohammad Alauthman; Husnain Rafiq (IEEE Trans. Artif. Intell., 2023)

Credit Card Fraud Detection Using Deep Neural Network with Shapley Additive Explanations. - Chidinma Faith Onyeoma; Husnain Rafiq; Daniel Jeremiah; Vinh-Thong Ta 001; Muhammad Usman 018 (FIT, 2024)

Key to Kindness: Reducing Toxicity In Online Discourse Through Proactive Content Moderation in a Mobile Keyboard. - Mark Warner; Angelika Strohmayer; Matthew Higgs; Husnain Rafiq; Liying Yang; Lynne M. Coventry (CoRR, 2024)

Deep reinforcement learning based Evasion Generative Adversarial Network for botnet detection. - Rizwan Hamid Randhawa; Nauman Aslam; Mohammad Alauthman; Muhammad Khalid; Husnain Rafiq (Future Gener. Comput. Syst., 2024)

NIOM-DGA: Nature-inspired optimised ML-based model for DGA detection. - Daniel Jeremiah; Husnain Rafiq; Ta Vinh Thong 001; Muhammad Usman 018; Mohsin Raza; Muhammad Awais 003 (Comput. Secur., 2025)