K
Kennedy Edemacu Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Lecturer
faculty
9 h-index
21 pubs
379 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Kennedy Edemacu's research focuses on privacy-preserving mechanisms and data security, particularly within the context of mobile crowdsensing and electronic health records. His work investigates differential privacy techniques and their application to location-based services, aiming to enhance the security and confidentiality of sensitive data. Edemacu has explored methods for efficient and secure data sharing in collaborative e-health systems, incorporating features like revocation and attribute management. He has also examined privacy-preserving prompt engineering and the use of differential privacy for in-context learning with tabular data. Edemacu's collaborations include work with Xintao Wu, Alycia N. Carey, and Minh-Hao Van at the University of Arkansas at Fayetteville. His scholarship metrics include an h-index of 9, with 21 total publications and 379 total citations.
Metrics
- h-index: 9
- Publications: 21
- Citations: 379
Selected Publications
-
Fair In-Context Learning via Latent Concept Variables (2025)
-
Privacy Preserving Prompt Engineering: A Survey (2025)
-
DP-TabICL: In-Context Learning with Differentially Private Tabular Data (2024)
Collaboration Network
Top Collaborators
Jong Wook Kim
Sangmyung University (KR)
8 shared publications
- Privacy-preserving mechanisms for location privacy in mobile crowdsensing: A survey
- A Survey Of differential privacy-based techniques and their applicability to location-Based services
- CESCR: CP-ABE for efficient and secure sharing of data in collaborative ehealth with revocation and no dummy attribute
- Multi-Party Privacy-Preserving Logistic Regression with Poor Quality Data Filtering for IoT Contributors
- Scalable Multi-Party Privacy-Preserving Gradient Tree Boosting over Vertically Partitioned Dataset with Outsourced Computations
Showing 5 of 8 shared publications
Beakcheol Jang
Sangmyung University (KR)
6 shared publications
- Privacy-preserving mechanisms for location privacy in mobile crowdsensing: A survey
- A Survey Of differential privacy-based techniques and their applicability to location-Based services
- CESCR: CP-ABE for efficient and secure sharing of data in collaborative ehealth with revocation and no dummy attribute
- Reliability check via weight similarity in privacy-preserving multi-party machine learning
- Scalable Multi-Party Privacy-Preserving Gradient Tree Boosting over Vertically Partitioned Dataset with Outsourced Computations
Showing 5 of 6 shared publications
Xintao Wu
University of Arkansas at Fayetteville
5 shared publications
In database
- Privacy Preserving Prompt Engineering: A Survey
- DP-TabICL: In-Context Learning with Differentially Private Tabular Data
- Privacy Preserving Prompt Engineering: A Survey
- DP-TabICL: In-Context Learning with Differentially Private Tabular Data
- Fair In-Context Learning via Latent Concept Variables
Karuna Bhaila
University of Arkansas at Fayetteville (US)
3 shared publications
- DP-TabICL: In-Context Learning with Differentially Private Tabular Data
- DP-TabICL: In-Context Learning with Differentially Private Tabular Data
- Fair In-Context Learning via Latent Concept Variables
Alycia N. Carey
University of Arkansas at Fayetteville
2 shared publications
In database
- DP-TabICL: In-Context Learning with Differentially Private Tabular Data
- DP-TabICL: In-Context Learning with Differentially Private Tabular Data
Minh-Hao Van
University of Arkansas at Fayetteville
2 shared publications
In database
- Fair In-Context Learning via Latent Concept Variables
- Fair In-Context Learning via Latent Concept Variables
Mohammad Mahdi Shokri
2 shared publications
- Hidden in the Metadata: Stealth Poisoning Attacks on Multimodal Retrieval-Augmented Generation
- Hidden in the Metadata: Stealth Poisoning Attacks on Multimodal Retrieval-Augmented Generation
Jong Seon Kim
Sangmyung University (KR)
1 shared publication
- A Survey Of differential privacy-based techniques and their applicability to location-Based services
Yon Dohn Chung
Korea University (KR)
1 shared publication
- A Survey Of differential privacy-based techniques and their applicability to location-Based services
Chen Zhao
1 shared publication
- Fair In-Context Learning via Latent Concept Variables
Feng Chen
1 shared publication
- Fair In-Context Learning via Latent Concept Variables
Karuna Bhaila
University of Arkansas at Fayetteville (US)
1 shared publication
- Fair In-Context Learning via Latent Concept Variables
Chen Zhao
Baylor University (US)
1 shared publication
- Fair In-Context Learning via Latent Concept Variables
Feng Chen
The University of Texas at Dallas (US)
1 shared publication
- Fair In-Context Learning via Latent Concept Variables
Xintao Wu
University of Arkansas at Fayetteville (US)
1 shared publication
- Fair In-Context Learning via Latent Concept Variables
Similar Researchers
Based on overlapping research topics
William E. Cox
University of Arkansas at Little Rock
Network Security and Intrusion Detection
Health Literacy and Information Accessibility
Meta-analysis and systematic reviews
Mayeesha Mahzabin
University of Arkansas at Fayetteville
Mobile Health and mHealth Applications
Network Security and Intrusion Detection
Blockchain Technology Applications and Security
Bruhadeshwar Bezawada
Southern Arkansas University
Mobile Health and mHealth Applications
Network Security and Intrusion Detection
Blockchain Technology Applications and Security
Elizabeth R. Lorah
University of Arkansas at Fayetteville
Mobile Health and mHealth Applications
Health Literacy and Information Accessibility
Meta-analysis and systematic reviews
Abdul Razaque
Arkansas Tech University
Mobile Health and mHealth Applications
Network Security and Intrusion Detection
Blockchain Technology Applications and Security
Seshadri Mohan
University of Arkansas at Little Rock
Mobile Health and mHealth Applications
Network Security and Intrusion Detection
Blockchain Technology Applications and Security