- Jonathan Takeshita, Ryan Karl, Ting Gong, Taeho Jung
- “SLAP: Simpler, Improved Private Stream Aggregation from Ring Learning With Errors”
- Journal of Cryptography
Tag: Secure Aggregation/Private Stream Aggregation
A paper accepted by SecureComm 2022
- Jonathan Takeshita, Zachariah Carmichael, Ryan Karl and Taeho Jung
- “TERSE: Tiny Encryptions and Really Speedy Execution for Post-Quantum Private Stream Aggregation”
- 18th EAI International Conference on Security and Privacy in Communication Networks (SecureComm), 2022
A paper accepted by ACM TIST
- Meng Jiang, Taeho Jung, Ryan Karl, Tong Zhao
“Federated Dynamic Graph Neural Networks with Secure Aggregation for Video-based Distributed Surveillance”
ACM Transactions on Intelligent Systems and Technology (TIST)
A paper accepted by SecureComm 2021
- Ryan Karl, Jonathan Takeshita, Al-Amin Mohammed, Aaron Striegel, and Taeho Jung
“Cryptonomial: A Framework for Private Time-Series Polynomial Calculations”
17th EAI International Conference on Security and Privacy in Communication Networks (SecureComm), 2021
A paper accepted by SecureComm 2021
- Ryan Karl, Jonathan Takeshita, and Taeho Jung
“Cryptonite: A Framework for Flexible Time-Series Secure Aggregation with Non-interactive Fault Recovery”
17th EAI International Conference on Security and Privacy in Communication Networks (SecureComm), 2021
A paper accepted by IEEE TDSC
- Taeho Jung, Junze Han, Xiang-Yang Li
“PDA: Semantically Secure Time-Series Data Analytics with Dynamic Subgroups”
IEEE Transactions on Dependable and Secure Computing (TDSC), 2017
A paper accepted by IEEE TDSC
- Taeho Jung, Xiang-Yang Li, Meng Wan
“Collusion-Tolerable Privacy-Preserving Sum and Product Calculation without Secure Channel”
IEEE Transactions on Dependable and Secure Computing (TDSC), 12.1 (2015): 45-57
A paper accepted by IEEE INFOCOM 2013
- Taeho Jung, XuFei Mao, Xiang-Yang Li, Shaojie Tang, Wei Gong, Lan Zhang
“Privacy-Preserving Data Aggregation without Secure Channel: Multivariate Polynomial Evaluation”
IEEE INFOCOM, 2013