Vulnerability- and Diversity-Aware Anonymization of Personally Identifiable Information for Improving User Privacy and Utility of Publishing Data. - Abdul Majeed 001; Farman Ullah; Sung Chang Lee (Sensors, 2017)

Attribute susceptibility and entropy based data anonymization to improve users community privacy and utility in publishing data. - Abdul Majeed 001; Sungchang Lee (Appl. Intell., 2020)

A Comprehensive Analysis of Privacy Protection Techniques Developed for COVID-19 Pandemic. - Abdul Majeed 001; Seong Oun Hwang (IEEE Access, 2021)

Anonymization Techniques for Privacy Preserving Data Publishing: A Comprehensive Survey. - Abdul Majeed 001; Sungchang Lee (IEEE Access, 2021)

A Systematic Survey on the Recent Advancements in the Social Internet of Things. - Farhan Amin; Abdul Majeed 001; Abdul Mateen; Rashid Abbasi; Seong Oun Hwang (IEEE Access, 2022)

Toward Privacy Preservation Using Clustering Based Anonymization: Recent Advances and Future Research Outlook. - Abdul Majeed 001; Safiullah Khan; Seong Oun Hwang (IEEE Access, 2022)

Applications and Challenges of Federated Learning Paradigm in the Big Data Era with Special Emphasis on COVID-19. - Abdul Majeed 001; Xiaohan Zhang; Seong Oun Hwang (Big Data Cogn. Comput., 2022)

A Privacy-Assured Data Lifecycle for Epidemic-Handling Systems. - Abdul Majeed 001; Seong Oun Hwang (Computer, 2022)

Technical Analysis of Contact Tracing Platform Developed by Google-Apple for Constraining the Spread of COVID-19. - Abdul Majeed 001 (ISPRS Int. J. Geo Inf., 2022)

A Practical Anonymization Approach for Imbalanced Datasets. - Abdul Majeed 001; Seong Oun Hwang (IT Prof., 2022)

Data-Driven Analytics Leveraging Artificial Intelligence in the Era of COVID-19: An Insightful Review of Recent Developments. - Abdul Majeed 001; Seong Oun Hwang (Symmetry, 2022)

Quantifying the Vulnerability of Attributes for Effective Privacy Preservation Using Machine Learning. - Abdul Majeed 001; Seong Oun Hwang (IEEE Access, 2023)

When AI Meets Information Privacy: The Adversarial Role of AI in Data Sharing Scenario. - Abdul Majeed 001; Seong Oun Hwang (IEEE Access, 2023)

CTGAN-MOS: Conditional Generative Adversarial Network Based Minority-Class-Augmented Oversampling Scheme for Imbalanced Problems. - Abdul Majeed 001; Seong Oun Hwang (IEEE Access, 2023)

Rectification of Syntactic and Semantic Privacy Mechanisms. - Abdul Majeed 001; Seong Oun Hwang (IEEE Secur. Priv., 2023)

Area-Time Efficient Implementation of NIST Lightweight Hash Functions Targeting IoT Applications. - Safiullah Khan; Wai-Kong Lee; Angshuman Karmakar; Jose Maria Bermudo Mera; Abdul Majeed 001; Seong Oun Hwang (IEEE Internet Things J., 2023)

The Changing Landscape of Privacy- Countermeasures in the Era of the COVID-19 Pandemic. - Abdul Majeed 001; Seong Oun Hwang (IT Prof., 2023)

Technical Analysis of Data-Centric and Model-Centric Artificial Intelligence. - Abdul Majeed 001; Seong Oun Hwang (IT Prof., 2023)

Area-Optimized Constant-Time Hardware Implementation for Polynomial Multiplication. - Safiullah Khan; Wai-Kong Lee; Ayesha Khalid; Abdul Majeed 001; Seong Oun Hwang (IEEE Embed. Syst. Lett., 2023)

Data-Centric Artificial Intelligence, Preprocessing, and the Quest for Transformative Artificial Intelligence Systems Development. - Abdul Majeed 001; Seong Oun Hwang (Computer, 2023)

Attribute-Centric and Synthetic Data Based Privacy Preserving Methods: A Systematic Review. - Abdul Majeed 001 (J. Cybersecur. Priv., 2023)

A Multifaceted Survey on Federated Learning: Fundamentals, Paradigm Shifts, Practical Issues, Recent Developments, Partnerships, Trade-Offs, Trustworthiness, and Ways Forward. - Abdul Majeed 001; Seong Oun Hwang (IEEE Access, 2024)

Solving the Privacy-Equity Trade-off in Data Sharing By Using Homophily, Diversity, and t-Closeness Based Anonymity Algorithm. - Abdul Majeed 001; Seong Oun Hwang (IEEE Access, 2024)

Early Diagnosis of Alzheimer's Disease Using 18F-FDG PET With Soften Latent Representation. - Abdul Rehman 003; Myung-Kyu Yi; Abdul Majeed 001; Seong Oun Hwang (IEEE Access, 2024)

Constructing Highly Nonlinear Cryptographic Balanced Boolean Functions on Learning Capabilities of Recurrent Neural Networks. - Hafiz Muhammad Waseem; Muhammad Asfand Hafeez; Shabir Ahmad; Bakkiam David Deebak; Noor Munir; Abdul Majeed 001; Seong Oun Hwang (IEEE Access, 2024)

Integrating Curriculum Learning With k-Means: A Data-Centric Approach to Faster Clustering. - Abdul Majeed 001; Seong Oun Hwang (IT Prof., 2024)

Towards Optimization of Privacy-Utility Trade-Off Using Similarity and Diversity Based Clustering. - Abdul Majeed 001; Safiullah Khan; Seong Oun Hwang (IEEE Trans. Emerg. Top. Comput., 2024)

Feature Stores: A Key Enabler for Feature Reusability and Availability Across Machine Learning Pipelines. - Abdul Majeed 001; Seong Oun Hwang (Computer, 2024)

Making Large Language Models More Reliable and Beneficial: Taking ChatGPT as a Case Study. - Abdul Majeed 001; Seong Oun Hwang (Computer, 2024)

Differential Privacy and k-Anonymity-Based Privacy Preserving Data Publishing Scheme With Minimal Loss of Statistical Information. - Abdul Majeed 001; Seong Oun Hwang (IEEE Trans. Comput. Soc. Syst., 2024)

The Data Island Problem and Its Mitigation: Are We There Yet? - Abdul Majeed 001; Seong Oun Hwang (Computer, 2024)

An Optimal Two-Step Approach for Defense Against Poisoning Attacks in Federated Learning. - Yasir Ali; Kyung Hyun Han; Abdul Majeed 001; Joon S. Lim; Seong Oun Hwang (IEEE Access, 2025)

Solving Truthfulness-Privacy Trade-Off in Mixed Data Outsourcing by Using Data Balancing and Attribute Correlation-Aware Differential Privacy. - Abdul Majeed 001; Seong Oun Hwang (IEEE Access, 2025)

When Poor-Quality Data Meet Anonymization Models: Threats and Countermeasures. - Abdul Majeed 001; Seong Oun Hwang (IEEE Access, 2025)

Data Compactness Versus Prediction Performance: Achieving Both by Pruning Redundant Samples With Dominant Patterns and Hamming Distance Based Sampling Scheme. - Abdul Majeed 001; Seong Oun Hwang (IEEE Access, 2025)

Corrections to "Toward Privacy Preservation Using Clustering Based Anonymization: Recent Advances and Future Research Outlook". - Abdul Majeed 001; Safiullah Khan; Seong Oun Hwang (IEEE Access, 2025)

The Dual Role of Machine Learning in Data Anonymization: Top 10 Benefits and Risks. - Abdul Majeed 001; Seong Oun Hwang (IEEE Secur. Priv., 2025)

Synthetic Data: A New Frontier for Democratizing Artificial Intelligence and Data Access. - Abdul Majeed 001; Seong Oun Hwang (Computer, 2025)

Moving Conditional GAN Close to Data: Synthetic Tabular Data Generation and Its Experimental Evaluation. - Abdul Majeed 001; Seong Oun Hwang (IEEE Trans. Big Data, 2025)

Changes in the Privacy Landscape in Recent Years: Analysis From AI and Non-AI Contexts. - Abdul Majeed 001; Seong Oun Hwang (Computer, 2025)

A Data-Centric $ ell$ℓ-Diversity Model for Securely Publishing Personal Data With Enhanced Utility. - Abdul Majeed 001; Seong Oun Hwang (IEEE Trans. Big Data, 2025)