Utilizing XAI technique to improve autoencoder based model for computer network anomaly detection with shapley additive explanation(SHAP). - Khushnaseeb Roshan; Aasim Zafar (CoRR, 2021)

Using Kernel SHAP XAI Method to optimize the Network Anomaly Detection Model. - Khushnaseeb Roshan; Aasim Zafar (CoRR, 2023)

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)

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)

Black-box adversarial transferability: An empirical study in cybersecurity perspective. - Khushnaseeb Roshan; Aasim Zafar (Comput. Secur., 2024)

Boosting robustness of network intrusion detection systems: A novel two phase defense strategy against untargeted white-box optimization adversarial attack. - Khushnaseeb Roshan; Aasim Zafar (Expert Syst. Appl., 2024)

AE-Integrated: Real-time network intrusion detection with Apache Kafka and autoencoder. - Khushnaseeb Roshan; Aasim Zafar (Concurr. Comput. Pract. Exp., 2024)

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)