Abdul Majeed
Orcid: 0000-0002-3030-5054Affiliations:
- Gachon University, Seongnam, Korea
According to our database1,
Abdul Majeed
authored at least 30 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Computer, December, 2024
Differential Privacy and k-Anonymity-Based Privacy Preserving Data Publishing Scheme With Minimal Loss of Statistical Information.
IEEE Trans. Comput. Soc. Syst., June, 2024
Making Large Language Models More Reliable and Beneficial: Taking ChatGPT as a Case Study.
Computer, March, 2024
Feature Stores: A Key Enabler for Feature Reusability and Availability Across Machine Learning Pipelines.
Computer, January, 2024
Towards Optimization of Privacy-Utility Trade-Off Using Similarity and Diversity Based Clustering.
IEEE Trans. Emerg. Top. Comput., 2024
Integrating Curriculum Learning With k-Means: A Data-Centric Approach to Faster Clustering.
IT Prof., 2024
Constructing Highly Nonlinear Cryptographic Balanced Boolean Functions on Learning Capabilities of Recurrent Neural Networks.
IEEE Access, 2024
Early Diagnosis of Alzheimer's Disease Using 18F-FDG PET With Soften Latent Representation.
IEEE Access, 2024
A Multifaceted Survey on Federated Learning: Fundamentals, Paradigm Shifts, Practical Issues, Recent Developments, Partnerships, Trade-Offs, Trustworthiness, and Ways Forward.
IEEE Access, 2024
2023
Attribute-Centric and Synthetic Data Based Privacy Preserving Methods: A Systematic Review.
J. Cybersecur. Priv., September, 2023
Data-Centric Artificial Intelligence, Preprocessing, and the Quest for Transformative Artificial Intelligence Systems Development.
Computer, May, 2023
IEEE Embed. Syst. Lett., March, 2023
IT Prof., 2023
The Changing Landscape of Privacy- Countermeasures in the Era of the COVID-19 Pandemic.
IT Prof., 2023
Area-Time Efficient Implementation of NIST Lightweight Hash Functions Targeting IoT Applications.
IEEE Internet Things J., 2023
CTGAN-MOS: Conditional Generative Adversarial Network Based Minority-Class-Augmented Oversampling Scheme for Imbalanced Problems.
IEEE Access, 2023
When AI Meets Information Privacy: The Adversarial Role of AI in Data Sharing Scenario.
IEEE Access, 2023
Quantifying the Vulnerability of Attributes for Effective Privacy Preservation Using Machine Learning.
IEEE Access, 2023
2022
Data-Driven Analytics Leveraging Artificial Intelligence in the Era of COVID-19: An Insightful Review of Recent Developments.
Symmetry, 2022
Technical Analysis of Contact Tracing Platform Developed by Google-Apple for Constraining the Spread of COVID-19.
ISPRS Int. J. Geo Inf., 2022
Applications and Challenges of Federated Learning Paradigm in the Big Data Era with Special Emphasis on COVID-19.
Big Data Cogn. Comput., 2022
Toward Privacy Preservation Using Clustering Based Anonymization: Recent Advances and Future Research Outlook.
IEEE Access, 2022
IEEE Access, 2022
2021
Anonymization Techniques for Privacy Preserving Data Publishing: A Comprehensive Survey.
IEEE Access, 2021
A Comprehensive Analysis of Privacy Protection Techniques Developed for COVID-19 Pandemic.
IEEE Access, 2021
2020
Attribute susceptibility and entropy based data anonymization to improve users community privacy and utility in publishing data.
Appl. Intell., 2020
2017
Vulnerability- and Diversity-Aware Anonymization of Personally Identifiable Information for Improving User Privacy and Utility of Publishing Data.
Sensors, 2017