Publications
Aidoo, E., Wang, X., Liu, Z., Tenagyei, E. K., Owusu-Agyemang, K., Kodjiku, S. L., ... & Aggrey, E. S. E. (2022). Cofopose: Conditional 2D Pose Estimation with Transformers. Sensors, 22(18), 6821.
Owusu-Agyemeng, K., Qin, Z., Xiong, H., Liu, Y., Zhuang, T., & Qin, Z. (2021). MSDP: multi-scheme privacy-preserving deep learning via differential privacy. Personal and Ubiquitous Computing, 1-13.
Kwabena, O. A., Qin, Z., Zhuang, T., & Qin, Z. (2019). Mscryptonet: Multi-scheme privacy-preserving deep learning in cloud computing. IEEE Access, 7, 29344-29354.
Owusu-Agyemang, K., Qin, Z., Benjamin, A., Xiong, H., & Qin, Z. (2021). Insuring against the perils in distributed learning: privacy-preserving empirical risk minimization. Mathematical Biosciences and Engineering, 18(4), 3006-3033.
Appiah, B., Sackey, A. K., Kwabena, O. A., Kanpogninge, A. J. A., & Buah, P. A. (2022). Fusion Dilated CNN for Encrypted Web Traffic Classification. International Journal of Network Security, 24(4), 733-740.
Aidoo, E., Wang, X., Liu, Z., Tenagyei, E. K., Owusu-Agyemang, K., Kodjiku, S. L., ... & Aggrey, E. S. E. (2022). Cofopose: Conditional 2D Pose Estimation with Transformers. Sensors, 22(18), 6821.
Antwi-Boasiako, E., Zhou, S., Liao, Y., Liu, Q., Wang, Y., & Owusu-Agyemang, K. (2021). Privacy preservation in Distributed Deep Learning: A survey on Distributed Deep Learning, privacy preservation techniques used and interesting research directions. Journal of Information Security and Applications, 61, 102949.
Owusu-Agyemeng, K., Qin, Z., Xiong, H., Zhuang, T., Yao, L., & Qin, Z. (2021). S-PPOC: Multi-scheme Privacy-Preserving Outsourced Classification. International Journal of Network Security, 23(3), 522-534.
Owusu-Agyemang, K., Qin, Z., Benjamin, A., Xiong, H., & Qin, Z. (2021). Guaranteed distributed machine learning: Privacy-preserving empirical risk minimization. Math. Biosci. Eng, 18, 4772-4796.
Owusu-Agyemang, K. (2015). An evaluation of the effectiveness of the MCA rural banks computerization and interconnectivity project implementation: a comparative case study of two rural banks in Ghana. International Journal of Advanced Research in Management and Social Sciences, 4(3), 122-157.
Adu, K., Yu, Y., Cai, J., Mensah, P. K., & Owusu-Agyemang, K. (2021). MLAF-CapsNet: Multi-lane atrous feature fusion capsule network with contrast limited adaptive histogram equalization for brain tumor classification from MRI images. Journal of Intelligent & Fuzzy Systems, 41(2), 3933-3950.
Appiah, B., Baagyere, E. Y., Owusu-Agyemang, K., Qin, Z., & Abdullah, M. A. (2020). Multi-Class Triplet Loss With Gaussian Noise for Adversarial Robustness. IEEE Access, 8, 171664-171671.
Adu, K., Yu, Y., Cai, J., Owusu?Agyemang, K., Twumasi, B. A., & Wang, X. (2021). DHS?CapsNet: Dual horizontal squash capsule networks for lung and colon cancer classification from whole slide histopathological images. International Journal of Imaging Systems and Technology, 31(4), 2075-2092.