Area of research
Artificial Intelligence · Computer Vision and Pattern Recognition
Research interest
Research interests include Cryptography and Data Security, Privacy-Preserving Technologies in Data, Chaos-based Image/Signal Encryption, and Complexity and Algorithms in Graphs.
Ultrafast homomorphic encryption models enable secure outsourcing of genotype imputation
Maliciously Secure Matrix Multiplication with Applications to Private Deep Learning
SCOR: A secure international informatics infrastructure to investigate COVID-19
A Full RNS Variant of Approximate Homomorphic Encryption
Bootstrapping for Approximate Homomorphic Encryption
Secure Outsourced Matrix Computation and Application to Neural Networks
Secure Logistic Regression Based on Homomorphic Encryption: Design and Evaluation
Logistic regression model training based on the approximate homomorphic encryption
Homomorphic Encryption for Arithmetic of Approximate Numbers
HEALER: homomorphic computation of ExAct Logistic rEgRession for secure rare disease variants analysis in GWAS