Packet Drop Attack Detection Techniques in Wireless Ad hoc Networks: A Review. - Kennedy Edemacu; Martin Euku; Richard Ssekibuule (CoRR, 2014)

Privacy Provision in Collaborative Ehealth With Attribute-Based Encryption: Survey, Challenges and Future Directions. - Kennedy Edemacu; Hung Kook Park; Beakcheol Jang; Jong Wook Kim (IEEE Access, 2019)

MPPDS: Multilevel Privacy-Preserving Data Sharing in a Collaborative eHealth System. - Jong Wook Kim; Kennedy Edemacu; Beakcheol Jang (IEEE Access, 2019)

Efficient and Expressive Access Control With Revocation for Privacy of PHR Based on OBDD Access Structure. - Kennedy Edemacu; Beakcheol Jang; Jong Wook Kim (IEEE Access, 2020)

Collaborative Ehealth Privacy and Security: An Access Control With Attribute Revocation Based on OBDD Access Structure. - Kennedy Edemacu; Beakcheol Jang; Jong Wook Kim (IEEE J. Biomed. Health Informatics, 2020)

A Survey Of differential privacy-based techniques and their applicability to location-Based services. - Jong Wook Kim; Kennedy Edemacu; Jong Seon Kim; Yon Dohn Chung; Beakcheol Jang (Comput. Secur., 2021)

Reliability check via weight similarity in privacy-preserving multi-party machine learning. - Kennedy Edemacu; Beakcheol Jang; Jong Wook Kim (Inf. Sci., 2021)

Scalable Multi-Party Privacy-Preserving Gradient Tree Boosting over Vertically Partitioned Dataset with Outsourced Computations. - Kennedy Edemacu; Beakcheol Jang; Jong Wook Kim (CoRR, 2022)

Privacy-preserving mechanisms for location privacy in mobile crowdsensing: A survey. - Jong Wook Kim; Kennedy Edemacu; Beakcheol Jang (J. Netw. Comput. Appl., 2022)

DP-TabICL: In-Context Learning with Differentially Private Tabular Data. - Alycia N. Carey; Karuna Bhaila; Kennedy Edemacu; Xintao Wu (IEEE Big Data, 2024)

Fair In-Context Learning via Latent Concept Variables. - Karuna Bhaila; Minh-Hao Van; Kennedy Edemacu; Chen Zhao 010; Feng Chen 001; Xintao Wu (CoRR, 2024)

Privacy Preserving Prompt Engineering: A Survey. - Kennedy Edemacu; Xintao Wu (ACM Comput. Surv., 2025)