Khoa Nguyen

According to our database, Khoa Nguyen authored at least 8 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

SoK: Wildest Dreams: Reproducible Research in Privacy-preserving Neural Network Training.

Tanveer Khan, Mindaugas Budzys, Khoa Nguyen, Antonis Michalas

Proc. Priv. Enhancing Technol., 2024

A Pervasive, Efficient and Private Future: Realizing Privacy-Preserving Machine Learning Through Hybrid Homomorphic Encryption.

Khoa Nguyen, Mindaugas Budzys, Eugene Frimpong, Tanveer Khan, Antonis Michalas

CoRR, 2024

Wildest Dreams: Reproducible Research in Privacy-preserving Neural Network Training.

Tanveer Khan, Mindaugas Budzys, Khoa Nguyen, Antonis Michalas

CoRR, 2024

GuardML: Efficient Privacy-Preserving Machine Learning Services Through Hybrid Homomorphic Encryption.

Eugene Frimpong, Khoa Nguyen, Mindaugas Budzys, Tanveer Khan, Antonis Michalas

Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

2023

Split Without a Leak: Reducing Privacy Leakage in Split Learning.

Khoa Nguyen, Tanveer Khan, Antonis Michalas

CoRR, 2023

Love or Hate? Share or Split? Privacy-Preserving Training Using Split Learning and Homomorphic Encryption.

Tanveer Khan, Khoa Nguyen, Antonis Michalas, Alexandros Bakas

Proceedings of the 20th Annual International Conference on Privacy, Security and Trust, 2023

A More Secure Split: Enhancing the Security of Privacy-Preserving Split Learning.

Tanveer Khan, Khoa Nguyen, Antonis Michalas

Proceedings of the Secure IT Systems - 28th Nordic Conference, NordSec 2023, Oslo, Norway, 2023

Split Ways: Privacy-Preserving Training of Encrypted Data Using Split Learning.

Tanveer Khan, Khoa Nguyen, Antonis Michalas

Proceedings of the Workshops of the EDBT/ICDT 2023 Joint Conference, 2023