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Journal Articles
- 2023
[j4]Bithin Alangot, Pawel Szalachowski, Tien Tuan Anh Dinh, Souhail Meftah, Jeff Ivanos Gana, Khin Mi Mi Aung
, Zengpeng Li:
Decentralized Identity Authentication with Auditability and Privacy. Algorithms 16(1): 4 (2023)- 2022
- [j3]Souhail Meftah, Shuhao Zhang, Bharadwaj Veeravalli, Khin Mi Mi Aung:
Revisiting the Design of Parallel Stream Joins on Trusted Execution Environments. Algorithms 15(6): 183 (2022) - [j2]Souhail Meftah, Benjamin Hong Meng Tan, Khin Mi Mi Aung, Yuxiao Lu, Jie Lin, Bharadwaj Veeravalli:
Towards high performance homomorphic encryption for inference tasks on CPU: An MPI approach. Future Gener. Comput. Syst. 134: 13-21 (2022) - 2021
- [j1]Souhail Meftah, Benjamin Hong Meng Tan, Chan Fook Mun, Khin Mi Mi Aung, Bharadwaj Veeravalli, Vijay Chandrasekhar:
DOReN: Toward Efficient Deep Convolutional Neural Networks with Fully Homomorphic Encryption. IEEE Trans. Inf. Forensics Secur. 16: 3740-3752 (2021)
Conference and Workshop Papers
- 2023
- [c1]Dee Meng Kang, Haadee Faahym, Souhail Meftah, Sye Loong Keoh, Khin Mi Mi Aung:
Practical Deep Neural Network Protection for Unmodified Applications in Intel Software Guard Extension Environments. Critical Infrastructure Protection 2023: 177-192
Informal and Other Publications
- 2021
- [i1]Jun Wang, Chao Jin, Souhail Meftah, Khin Mi Mi Aung:
Popcorn: Paillier Meets Compression For Efficient Oblivious Neural Network Inference. CoRR abs/2107.01786 (2021)
Coauthor Index
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