Dr. Erick Purwanto 陈立科 is a Teaching Fellow at Xi'an Jiaotong-Liverpool University (XJTLU) at the Computing Department of School of Advanced Technology. He received both Ph.D and M.Comp degree from National University of Singapore (NUS). His research interests are Machine Learning, Medical Imaging, and Technology Enhanced Learning.
Qualifications
FHEA, Fellow of the Higher Education Academy
Ph.D in Computer Science, National University of Singapore
Lecturer, Duta Wacana Christian University, 2012-2014
Research interests
AI-based Cyber Security
Statistical Learning
Crytography
Pattern Recognition
Articles
Aggarwal, D., Damgård, I., Nielsen, J.B., Obremski, M., Purwanto, E., Ribeiro, J. and Simkin, M., 2019, August. Stronger leakage-resilient and non-malleable secret sharing schemes for general access structures. In Annual International Cryptology Conference (pp. 510-539). Springer, Cham.
Aggarwal, D., Döttling, N., Nielsen, J.B., Obremski, M. and Purwanto, E., 2019, May. Continuous non-malleable codes in the 8-split-state model. In Annual International Conference on the Theory and Applications of Cryptographic Techniques (pp. 531-561). Springer, Cham.
Dang, H., Purwanto, E. and Chang, E.C., 2017, April. Proofs of data residency: Checking whether your cloud files have been relocated. In Proceedings of the 2017 ACM on Asia Conference on Computer and Communications Security (pp. 408-422). ACM.
