A paper accepted by IEEE ICBC 2023

Michael Bartholic, Eric Burger, Shin’ichiro Matsuo, Taeho Jung

“Reputation as Contextual Knowledge: Incentives and External Value in Truthful Blockchain Oracles”

The 5th IEEE International Conference on Blockchain and Cryptocurrency (IEEE ICBC 2023)

Acceptance rate: 18.7%

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 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 USENIX TaPP 2022

Shemon Rawat, Seokki Lee, Taeho Jung

“Measuring Information Gain using Provenance”

Proceedings of the 14th USENIX Workshop on the Theory and Practice of Provenance (TaPP) 2022

A paper accepted by JPDC

Changhao Chenli, Wenyi Tang, Frank Gomulka, Taeho Jung

“ProvNet: Networked Bi-directional Blockchain for Data Sharing with Verifiable Provenance” 

Journal of Parallel and Distributed Computing

A paper accepted by IJIS

Ryan Karl, Hannah Burchfield, Jonathan Takeshita, Taeho Jung

“Developing Non-Interactive MPC with Trusted Hardware for Enhanced Security” 

International Journal of Information Security

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 IEEE Blockchain 2021

Changhao Chenli, Wenyi Tang, Taeho Jung

“FairTrade: Efficient Atomic Exchange-Based Fair Exchange Protocol for Digital Data Trading” 

The 4th IEEE International Conference on Blockchain (Blockchain), 2021

Acceptance rate: 14.5%

Delivered a speech at Inha University

Title: Secure Computation and Management for Large-scale Data Aggregation Host: Inha University, Department of Computer Engineering Date: July 30, 2021

Delivered a speech at Hanyang University

Title: Secure Computation and Management for Large-scale Data Aggregation Host: Hanyang University, Department of Mathematics Date: July 28, 2021

A paper accepted by Automatica!

Wei Zheng, Taeho Jung, Hai Lin

“The Stackelberg Equilibrium for One-sided Zero-sum Partially Observable Stochastic Games”

Automatica – A Journal of IFAC, the International Federation of Automatic Control

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

Boyang Li, Qing Lu, Weiwen Jiang, Taeho Jung, Yiyu Shi

“A Mining Pool Solution for Novel Proof-of-neural-architecture Consensus”

IEEE International Conference on Blockchain and Cryptocurrency (ICBC) 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 IACR SAC 2020

Jonathan Takeshita, Dayane Reis, Ting Gong, Michael Niemier, Sharon X. Hu, Taeho Jung

“Algorithmic Acceleration of B/FV-like Somewhat Homomorphic Encryption for Compute-Enabled RAM”

IACR 27th Selected Areas in Cryptography (SAC) 2020

A paper accepted by IEEE TVLSI

Dayane Reis, Jonathan Takeshita, Taeho Jung, Michael Niemier, Sharon X. Hu

“Computing-in-Memory for Performance and Energy Efficient Homomorphic Encryption”

IEEE Transactions on Very Large Scale Integration Systems (IEEE TVLSI)

A paper accepted by SERVICES 2020

Changhao Chenli, Boyang Li, Taeho Jung

“DLchain: Blockchain with Deep Learning as Proof-of-Useful-Work”

2020 World Congress on Services (SERVICES 2020)

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 paper accepted by ICBC 2020

Changhao Chenli, Taeho Jung

“ProvNet: Networked Blockchain for Decentralized Secure Provenance”

3rd International Conference on Blockchain (ICBC 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 CVPR Blockchain Workshop

Boyang Li, Changhao Chenli, Xiaowei Xu, Taeho Jung, Yiyu Shi

“Exploiting Computation Power of Blockchain for Biomedical ImageSegmentation”

CVPR Workshop (Blockchain Meets Computer Vision & AI), 2019

A poster paper accepted by IEEE ICBC

Changhao Chenli, Boyang Li, Yiyu Shi, Taeho Jung

“Energy-recycling Blockchain with Proof-of-Deep-Learning”

IEEE International Conference on Blockchain and Cryptocurrency (ICBC) 2019

A poster paper accepted by ACM/IEEE ICSE 2019.

Zhaoyi Meng, Yan Xiong, Wenchao Huang, Fuyou Miao, Taeho Jung and Jianmeng Huang

“Divide and Conquer: Recovering Contextual Information of Behaviors in Android Apps by Limited-quantity Audit Logs”

ACM/IEEE International Conference on Software Engineering (ICSE), 2019

A paper accepted by ACM TOIT

Jianwei Qian, Xiang-Yang Li, Taeho Jung, Yang Fan, Yu Wang, Shaojie Tang

“Social Network De-Anonymization: More Adversarial Knowledge, More Users Re-Identified?”

ACM Transactions on Internet Technology (ACM TOIT), 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 TIFS

Taeho Jung, Xiang-Yang Li, Wenchao Huang, Zhongying Qiao, Jianwei Qian, Linlin Chen, Junze Han, Jiahui Hou

“AccountTrade: Accountability Against Dishonest Big Data Buyers and Sellers”

IEEE Transactions on Information Forensics and Security, to appear in 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

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