Husnain Rafiq

According to our database, Husnain Rafiq authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., January, 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

2023

Evasion Generative Adversarial Network for Low Data Regimes.

Rizwan Hamid Randhawa, Nauman Aslam, Mohammad Alauthman, Husnain Rafiq

IEEE Trans. Artif. Intell., October, 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

AI-Based Hand Gesture Recognition Through Camera on Robot.

Gergo Csonka, Muhammad Khalid, Husnain Rafiq, Yasir Ali

Proceedings of the International Conference on Frontiers of Information Technology, 2023

2022

Android malware detection using machine learning to mitigate adversarial evasion attacks.

Husnain Rafiq

PhD thesis, 2022

On Impact of Adversarial Evasion Attacks on ML-based Android Malware Classifier Trained on Hybrid Features.

Husnain Rafiq, Nauman Aslam, Biju Issac, Rizwan Hamid Randhawa

Proceedings of the 14th International Conference on Software, 2022

An Investigation on Fragility of Machine Learning Classifiers in Android Malware Detection.

Husnain Rafiq, Nauman Aslam, Biju Issac, Rizwan Hamid Randhawa

Proceedings of the IEEE INFOCOM 2022, 2022

2021

EVAGAN: Evasion Generative Adversarial Network for Low Data Regimes.

Rizwan Hamid Randhawa, Nauman Aslam, Mohammad Alauthman, Husnain Rafiq, Muhammad Khalid

CoRR, 2021

Security Hardening of Botnet Detectors Using Generative Adversarial Networks.

Rizwan Hamid Randhawa, Nauman Aslam, Mohammad Alauthman, Husnain Rafiq, Frank Comeau

IEEE Access, 2021

2020

Android Malware Classification Using Machine Learning and Bio-Inspired Optimisation Algorithms.

Jack Pye, Biju Issac, Nauman Aslam, Husnain Rafiq

Proceedings of the 19th IEEE International Conference on Trust, 2020