Abdul Majeed
Orcid: 0000-0002-3030-5054Affiliations:
- Gachon University, Seongnam, Korea
According to our database1,
Abdul Majeed
authored at least 24 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
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
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