Popcorn: Paillier Meets Compression For Efficient Oblivious Neural Network Inference. - Jun Wang 020; Chao Jin 002; Souhail Meftah; Khin Mi Mi Aung (CoRR, 2021)

DOReN: Toward Efficient Deep Convolutional Neural Networks with Fully Homomorphic Encryption. - Souhail Meftah; Benjamin Hong Meng Tan; Chan Fook Mun; Khin Mi Mi Aung; Bharadwaj Veeravalli; Vijay Chandrasekhar 001 (IEEE Trans. Inf. Forensics Secur., 2021)

Revisiting the Design of Parallel Stream Joins on Trusted Execution Environments. - Souhail Meftah; Shuhao Zhang 001; Bharadwaj Veeravalli; Khin Mi Mi Aung (Algorithms, 2022)

Towards high performance homomorphic encryption for inference tasks on CPU: An MPI approach. - Souhail Meftah; Benjamin Hong Meng Tan; Khin Mi Mi Aung; Yuxiao Lu; Jie Lin 001; Bharadwaj Veeravalli (Future Gener. Comput. Syst., 2022)

Practical Deep Neural Network Protection for Unmodified Applications in Intel Software Guard Extension Environments. - Dee Meng Kang; Haadee Faahym; Souhail Meftah; Sye Loong Keoh; Khin Mi Mi Aung (Critical Infrastructure Protection, 2023)

Decentralized Identity Authentication with Auditability and Privacy. - Bithin Alangot; Pawel Szalachowski; Tien Tuan Anh Dinh; Souhail Meftah; Jeff Ivanos Gana; Khin Mi Mi Aung; Zengpeng Li 001 (Algorithms, 2023)