A paper is accepted by SN Computer Science
Ryan Karl, Nirajan Koirala, Tasha Januszewicz, Jonathan Takeshita, Taeho Jung
“Cryptonite: A Framework for Flexible Time-series Secure Aggregation with Non-interactive Fault Recovery”
SN Computer Science
Secure Aggregation/Private Stream Aggregation
A paper accepted by EAI SecureComm 2024
Antonia Januszewicz, Daniela Medrano Gutiérrez, Nirajan Koirala, Jiachen Zhao, Jonathan Takeshita, Jaewoo Lee, Taeho Jung
“PPSA: Polynomial Private Stream Aggregation for Time-Series Data Analysis”
20th EAI International Conference on Security and Privacy in Communication Networks (EAI SecureComm 2024)
A paper accepted by JoC
Jonathan Takeshita, Ryan Karl, Ting Gong, Taeho Jung
“SLAP: Simpler, Improved Private Stream Aggregation from Ring Learning With Errors”
IACR Journal of Cryptography (JoC)
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
Acceptance rate: 31.4%
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