- Wei Zheng, Taeho Jung, Hai Lin
- “Continuous-observation One-sided Two-player Zero-sum Partially Observable Stochastic Game with Public Actions”
- IEEE Transactions on Automatic Control (IEEE TAC)
Tag: Privacy
A paper accepted by JoC
- Jonathan Takeshita, Ryan Karl, Ting Gong, Taeho Jung
- “SLAP: Simpler, Improved Private Stream Aggregation from Ring Learning With Errors”
- Journal of Cryptography
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 IEEE Blockchain 2022
- Chanyang Ju, Wenyi Tang, Changhao Chenli, Gwangwoon Lee, Jae Hong Seo, Taeho Jung
- “Monitoring Provenance of Delegated Personal Data With Blockchain”
- The 5th IEEE International Conference on Blockchain (IEEE Blockchain 2022)
- Acceptance rate: 15.8%
A paper accepted by IEEE L-CSS
- Wei Zheng, Taeho Jung, Hai Lin
“Privacy-preserving POMDP Planning via Belief Manipulation”
IEEE Control Systems Letters (L-CSS)
A paper accepted by ACM/SIGAPP SAC 2022
- Wenyi Tang, Changhao Chenli, Chanyang Ju, Taeho Jung
“Trac2Chain: Trackability and Traceability of Graph Data in Blockchain with Linkage Privacy”
The 37th ACM/SIGAPP Symposium On Applied Computing, 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
- Jonathan Takeshita, Ryan Karl, Al-Amin Mohammed, Aaron Striegel, and Taeho Jung
“Provably Secure Contact Tracing with Conditional Private Set Intersection”
17th EAI International Conference on Security and Privacy in Communication Networks (SecureComm), 2021
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 USENIX TaPP 2021
- Taeho Jung, Seokki Lee, Wenyi Tang
“Using Provenance to Evaluate Risk and Benefit of Data Sharing”
Proceedings of the 13th USENIX Workshop on the Theory and Practice of Provenance (TaPP) 2021
A paper accepted by IEEE DCOSS 2021
- Ryan Karl, Jonathan Takeshita, Al-Amin Mohammed, Aaron Striegel
“CryptoGram: Fast Private Calculations of Histograms over Multiple Users”
IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS) 2021
A poster paper accepted by IEEE ICBC 2021
- Wenyi Tang, Changhao Chenli, Taeho Jung
“Prv2chain: Storage of Tree-structured Provenance Records in Blockchain with Linkage Privacy”
IEEE International Conference on Blockchain and Cryptocurrency (ICBC) 2021
A paper accepted by IoTSPT-ML 2020
- Jonathan Takeshita, Ryan Karl, Taeho Jung
“Secure Single-Server Nearly-Identical Image Deduplication”
10th International Workshop on Security, Privacy, Trust, and Machine Learning for Internet of Things (IoTSPT-ML 2020)
A poster accepted by HotSos 2020
- Ryan Karl, Jonathan Takeshita, Taeho Jung
“Using Intel SGX to Improve Private Neural Network Training and Inference”
7th Annual Hot Topics in the Science of Security (HoTSoS) Symposium, 2020
A Work-in-Progress paper accepted by HotSos 2020
- Ryan Karl, Jonathan Takeshita, Taeho Jung
“WiP: Using Intel SGX to Improve Private Neural Network Training and Inference”
7th Annual Hot Topics in the Science of Security (HoTSoS) Symposium, 2020
A paper accepted by IEEE JSAC
- Haohua Du, Linlin Chen, Jianwei Qian, Jiahui Hou, Taeho Jung, Xiang-Yang Li
“PatronuS: Protect Both Privacy and Security in Cloud Surveillance System”
IEEE Journal on Selected Areas in Communications – Special Issue on Network Softwarization & Enablers, to appear in 2020
A paper accepted by IEEE TDSC
- Jianwei Qian, Haohua Du, Jiahui Hou, Linlin Chen, Taeho Jung, Xiang-Yang Li
“Speech Sanitizer: Speech Content Desensitization and Voice Anonymization”
IEEE Transactions on Dependable and Secure Computing, to appear in 2020
A paper accepted by SecureComm
- Ryan Karl, Timothy Burchfield, Jonathan Takeshita, and Taeho Jung
“Non-Interactive MPC with Trusted Hardware Secure Against Residual Function Attacks”
15th EAI International Conference on Security and Privacy in Communication Networks (SecureComm), 2019
A paper accepted by ACM SenSys
- Jianwei Qian, Haohua Du, Jiahui Hou, Linlin Chen, Taeho Jung, Xiang-Yang Li
“Hidebehind: Enjoy Voice Input with Voiceprint Unclonability and Anonymity”
ACM Conference on Embedded Networked Sensor Systems (Sensys) 2018
A paper accepted by IEEE SECON
- Linlin Chen, Taeho Jung, Haohua Du, Jianwei Qian, Jiahui Hou, Xiang-Yang Li
“Crowdlearning: Crowded Deep Learning with Data Privacy”
IEEE SECON 2018
A paper accepted by IEEE TNSE
- Ting Li, Taeho Jung, Zhijin Qiu, Hanshang Li, Lijuan Cao, Yu Wang
“Scalable Privacy-Preserving Participant Selection for Mobile Crowdsensing Systems: Participant Grouping and Secure Group Bidding”
IEEE Transactions on Network Science and Engineering, to appear in 2018
A paper accepted by IEEE TIFS
- Jiahui Hou, Xiang-Yang Li, Taeho Jung, Yu Wang, Daren Zheng
“CASTLE: Enhancing the Utility of Inequality Query Auditing without Denial Threats”
IEEE Transactions on Information Forensics and Security, to appear in 2018
A paper accepted by IEEE TMC
- Lan Zhang, Taeho Jung, Kebin Liu, Xiang-Yang Li, Xuan Ding, Jiaxi Gu, Yunhao Liu
“PIC: Enable Large-scale Privacy Preserving Content-based Image Search on Cloud”
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2017
A paper accepted by IEEE TDSC
- Jianwei Qian, Xiang-Yang Li, Chunhong Zhang, Linlin Chen, Taeho Jung, Junze Han
“Social Network De-Anonymization and Privacy Inference with Knowledge Graph Model”
IEEE Transactions on Dependable and Secure Computing (TDSC), 2017
A paper accepted by IEEE PerCom 2017
- Ting Li, Taeho Jung, Hanshang Li, Lijuan Cao, Weichao Wang, Xiang-Yang Li, Yu Wang
“Scalable Privacy-Preserving Participant Selection in Mobile Crowd Sensing”
IEEE PerCom, 2017
A paper accepted by IEEE MSN 2016
Haohua Du, Taeho Jung, Xuesi Jian, Yiqing Hu, Jiahui Hou, Xiang-Yang Li
“User-Demand-Oriented Privacy-Preservation in Video Delivering”
IEEE MSN, 2016
A paper accepted by IEEE MSN 2016
- Junze Han, Xiang-Yang Li, Taeho Jung, Lili Du
“Ensuring Semantic Validity in Privacy-Preserving Aggregate Statistics”
IEEE MSN, 2016
A paper accepted by IEEE MSN 2016
- Jianwei Qian, Shaojie Tang, Huiqi Liu, Taeho Jung, Xiang-Yang Li
“Privacy Inference on Knowledge Graphs: Hardness and Approximation”
IEEE MSN, 2016
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 INFOCOM 2016
- Xiang-Yang Li, Chunhong Zhang, Taeho Jung, Jianwei Qian, Linlin Chen
“Graph-Based Privacy-Preserving Data Publication”
INFOCOM, 2016
A paper accepted by BigCom 2015
- Taeho Jung, Xiang-Yang Li, Junze Han
“A Framework for Optimization in Big Data: Privacy-preserving Multi-agent Greedy Algorithm” (Best paper award runner up)
BigCom, 2015
A paper accepted by ICPP 2015
- Lan Zhang, Taeho Jung, Puchun Feng, Kebin Liu, Xiang-Yang Li
“PIC: Enable Large-scale Privacy Preserving Content-based Image Search on Cloud”
ICPP 2015
A paper accepted by IEEE ICDCS 2015
- Lan Zhang, Taeho Jung, Cihang Liu, Xuan Ding, Xiang-Yang Li, Yunhao Liu
“POP: Privacy-preserving Outsourced Photo Sharing and Searching for Mobile Devices”
IEEE ICDCS, 2015
A paper accepted by IEEE INFOCOM workshop BigSecurity 2015
- Taeho Jung, Xiang-Yang Li
“Enabling Privacy-preserving Auctions in Big Data”
IEEE INFOCOM Workshop BigSecurity, 2015
A paper accepted by IEEE TIFS
- Taeho Jung, Xiang-Yang Li, Zhiguo Wan, Meng Wan
“Control cloud data access privilege and anonymity with fully anonymous attribute-based encryption”
IEEE Transactions on Information Forensics and Security (TIFS), 10.1 (2015): 190-199.
A paper accepted by IEEE TMC
- Lan Zhang, Xiang-Yang Li, Kebin Liu, Taeho Jung, Yunhao Liu
“Message in a Sealed Bottle: Privacy Preserving Friending in Mobile Social Networks”
IEEE Transactions on Mobile Computing (TMC), 14.9 (2015): 1888-1902.
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 2014
- Jing Zhao, Taeho Jung, Yu Wang, Xiang-Yang Li
“Achieving Differential Privacy of Data Disclosure in the Smart Grid”
IEEE INFOCOM, 2014
A paper accepted by IEEE INFOCOM 2013
- Taeho Jung, Xiang-Yang Li, Zhiguo Wan, Meng Wan
“Privacy Preserving Cloud Data Access with Multi-Authorities”
IEEE INFOCOM, 2013
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
A paper accepted by IEEE INFOCOM 2013
- Xiang-Yang Li, Taeho Jung
“Search Me If You Can: Privacy-Preserving Location Query Service”
IEEE INFOCOM, 2013
A paper accepted by IEEE INFOCOM 2013
- Lan Zhang, Xiang-Yang Li, Yunhao Liu, Taeho Jung
“Verifiable Private Multi-party Computation: Ranging and Ranking”
IEEE INFOCOM, 2013