Systematic and Critical Review of RSA Based Public Key Cryptographic Schemes: Past and Present Status. - Raza Imam; Qazi Mohammad Areeb; Abdulrahman S. Alturki; Faisal Anwer (IEEE Access, 2021)

A systematic literature review of attribute based encryption in health services. - Raza Imam; Kaushal Kumar; Syed Mehran Raza; Rumi Sadaf; Faisal Anwer; Noor Fatima; Mohammad Nadeem; Mohamed Abbas; Obaidur Rahman (J. King Saud Univ. Comput. Inf. Sci., 2022)

SEDA: Self-ensembling ViT with Defensive Distillation and Adversarial Training for Robust Chest X-Rays Classification. - Raza Imam; Ibrahim Almakky; Salma Alrashdi; Baketah Alrashdi; Mohammad Yaqub (DART@MICCAI, 2023)

On enhancing the robustness of Vision Transformers: Defensive Diffusion. - Raza Imam; Muhammad Huzaifa; Mohammed El-Amine Azz (CoRR, 2023)

Filter bubbles in recommender systems: Fact or fallacy - A systematic review. - Qazi Mohammad Areeb; Mohammad Nadeem; Shahab Saquib Sohail; Raza Imam; Faiyaz Doctor; Yassine Himeur; Amir Hussain 001; Abbes Amira (WIREs Data. Mining. Knowl. Discov., 2023)

FLARE up your data: Diffusion-based Augmentation Method in Astronomical Imaging. - Mohammed Talha Alam; Raza Imam; Mohsen Guizani; Fakhri Karray (BMVC, 2024)

Introducing SDICE: An Index for Assessing Diversity of Synthetic Medical Datasets. - Mohammed Talha Alam; Raza Imam; Mohammad Areeb Qazi; Asim Ukaye; Karthik Nandakumar (BMVC Workshops, 2024)

Optimizing Brain Tumor Classification: A Comprehensive Study on Transfer Learning and Imbalance Handling in Deep Learning Models. - Raza Imam; Mohammed Talha Alam (Epi UAI, 2024)

EVOKE: Emotion Enabled Virtual Avatar Mapping Using Optimized Knowledge Distillation. - Maryam Nadeem; Raza Imam; Rouqaiah Al-Refai; Meriem Chkir; Mohamad Hoda; Abdulmotaleb El-Saddik (ICCE, 2024)

Domain Adaptable Fine-Tune Distillation Framework For Advancing Farm Surveillance. - Raza Imam; Muhammad Huzaifa; Nabil Mansour; Shaher Bano Mirza; Fouad Lamghari (CoRR, 2024)

Practically adaptable CPABE based Health-Records sharing framework. - Raza Imam; Faisal Anwer (CoRR, 2024)

AstroSpy: On detecting Fake Images in Astronomy via Joint Image-Spectral Representations. - Mohammed Talha Alam; Raza Imam; Mohsen Guizani; Fakhri Karray (CoRR, 2024)

CosmoCLIP: Generalizing Large Vision-Language Models for Astronomical Imaging. - Raza Imam; Mohammed Talha Alam; Umaima Rahman; Mohsen Guizani; Fakhri Karray (CoRR, 2024)

MedUnA: Language guided Unsupervised Adaptation of Vision-Language Models for Medical Image Classification. - Umaima Rahman; Raza Imam; Dwarikanath Mahapatra; Boulbaba Ben Amor (CoRR, 2024)

Can Language-Guided Unsupervised Adaptation Improve Medical Image Classification Using Unpaired Images and Texts? - Umaima Rahman; Raza Imam; Mohammad Yaqub; Boulbaba Ben Amor; Dwarikanath Mahapatra (ISBI, 2025)

On the Robustness of Medical Vision-Language Models: Are They Truly Generalizable? - Raza Imam; Rufael Marew; Mohammad Yaqub (MIUA (1), 2025)

Test-Time Low Rank Adaptation via Confidence Maximization for Zero-Shot Generalization of Vision-Language Models. - Raza Imam; Hanan Gani; Muhammad Huzaifa; Karthik Nandakumar (WACV, 2025)

Noise is an Efficient Learner for Zero-Shot Vision-Language Models. - Raza Imam; Asif Hanif; Jian Zhang; Khaled Waleed Dawoud; Yova Kementchedjhieva; Mohammad Yaqub (CoRR, 2025)

From RAG to Agentic: Validating Islamic-Medicine Responses with LLM Agents. - Mohammad Amaan Sayeed; Mohammed Talha Alam; Raza Imam; Shahab Saquib Sohail; Amir Hussain 001 (CoRR, 2025)