A Novel Deep Learning based Model to Defend Network Intrusion Detection System against Adversarial Attacks. - Khushnaseeb Roshan; Aasim Zafar; Sheikh Burhan Ul Haque (CoRR, 2023)

RRFMDS: Rapid Real-Time Face Mask Detection System for Effective COVID-19 Monitoring. - Sheikh Burhan Ul Haque; Aasim Zafar (SN Comput. Sci., 2023)

A fuzzy-based frame transformation to mitigate the impact of adversarial attacks in deep learning-based real-time video surveillance systems. - Sheikh Burhan Ul Haque (Appl. Soft Comput., 2024)

Mitigating adversarial threats in deep CT image diagnosis models via a dual-stage inference-time defense. - Sheikh Burhan Ul Haque (Appl. Soft Comput., 2024)

Untargeted white-box adversarial attack with heuristic defence methods in real-time deep learning based network intrusion detection system. - Khushnaseeb Roshan; Aasim Zafar; Sheikh Burhan Ul Haque (Comput. Commun., 2024)

Untargeted white-box adversarial attack to break into deep learning based COVID-19 monitoring face mask detection system. - Sheikh Burhan Ul Haque; Aasim Zafar (Multim. Tools Appl., 2024)

Unlocking adversarial transferability: a security threat towards deep learning-based surveillance systems via black box inference attack- a case study on face mask surveillance. - Sheikh Burhan Ul Haque; Aasim Zafar (Multim. Tools Appl., 2024)

Beyond accuracy and precision: a robust deep learning framework to enhance the resilience of face mask detection models against adversarial attacks. - Sheikh Burhan Ul Haque; Aasim Zafar (Evol. Syst., 2024)

Correction: Beyond accuracy and precision: a robust deep learning framework to enhance the resilience of face mask detection models against adversarial attacks. - Sheikh Burhan Ul Haque; Aasim Zafar (Evol. Syst., 2024)

Securing AI in Healthcare: A Three-Layer Defense to Mitigate Adversarial Noise Impact in Radiology Imaging. - Sheikh Burhan Ul Haque; Aasim Zafar; Sheikh Moeen Ul Haque; Sheikh Riyaz Ul Haq; Mohassin Ahmad (Biomed. Signal Process. Control., 2025)

Threats to medical diagnosis systems: analyzing targeted adversarial attacks in deep learning-based COVID-19 diagnosis. - Sheikh Burhan Ul Haque; Aasim Zafar; Sheikh Riyaz Ul Haq; Sheikh Moeen Ul Haque; Mohassin Ahmad; Khushnaseeb Roshan (Soft Comput., 2025)

Lights, Camera, Adversary: Decoding the Enigmatic World of Malicious Frames in Real-Time Video Surveillance Systems. - Sheikh Burhan Ul Haque; Aasim Zafar (Neural Process. Lett., 2025)