Evaluation study of eLGuide: A framework for adaptive e-learning. - Aasim Zafar; Ibrahim A. Albidewi (Comput. Appl. Eng. Educ., 2015)

Multimodal Information Access and Retrieval Notable Work and Milestones. - Mohd Anas Wajid; Aasim Zafar (ICCCNT, 2019)

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

Application of soft computing techniques in machine reading of Quranic Kufic manuscripts. - Aasim Zafar; Arshad Iqbal (J. King Saud Univ. Comput. Inf. Sci., 2022)

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)

Neutrosophic-CNN-based image and text fusion for multimodal classification. - Mohd Anas Wajid; Aasim Zafar; Hugo Terashima-Marín; Mohammad Saif Wajid (J. Intell. Fuzzy Syst., 2023)

The scholarly footprint of ChatGPT: a bibliometric analysis of the early outbreak phase. - Faiza Farhat; Emmanuel Sirimal Silva; Hossein Hassani 002; Dag Øivind Madsen; Shahab Saquib Sohail; Yassine Himeur; M. Afshar Alam; Aasim Zafar (Frontiers Artif. Intell., 2023)

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

Multi video summarization using query based deep optimization algorithm. - Shaharyar Alam Ansari; Aasim Zafar (Int. J. Mach. Learn. Cybern., 2023)

Comparative study of Federated Learning and Machine Learning for Drug Discovery. - Kausar Ali; Aasim Zafar (CVMI, 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)

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)

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)

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

Soft computing techniques in multi-criteria recommender systems: A comprehensive review. - Khalid Anwar; Mohammed Wasid; Aasim Zafar; M. A. Ganaie 001; Arshad Iqbal (Appl. Soft Comput., 2025)

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)

Digital Twin technology for multimodal-based smart mobility using hybrid Co-ABC optimization based deep CNN. - Mohd Anas Wajid; Mohammad Saif Wajid; Aasim Zafar; Hugo Terashima-Marín (Clust. 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)

FR-EAHTS: federated reinforcement learning for enhanced task scheduling with hierarchical load balancing and dynamic power adjustment in multi-core systems. - Mohd Farooq; Aasim Zafar; Abdus Samad (Telecommun. Syst., 2025)

An efficient framework to combat multidimensionality in multi-criteria recommender systems. - Khalid Anwar; Mohammed Wasid; Aasim Zafar; Arshad Iqbal (Clust. Comput., 2025)