- Zhepeng Wang, Yi Sheng, Nirajan Koirala, Kanad Basu, Taeho Jung, Cheng-Chang Lu, Weiwen Jiang
- “PristiQ: A Co-Design Framework for Preserving Data Security of Quantum Learning in the Cloud”
- IEEE Computer Society Annual Symposium on VLSI (IEEE ISVLSI 2024)
Tag: Deep Learning
A paper accepted by BCCA 2023
- Boyang Li, Bingyu Shen, Qing Lu, Taeho Jung, Yiyu Shi
- “Proof-of-Federated-Learning-Subchain: Free Partner Selection Subchain Based on Federated Learning”
- The Fifth International Conference on Blockchain Computing and Applications (BCCA 2023)
A paper accepted by Blockchain: Research and Applications
- Boyang Li, Qing Lu, Weiwen Jiang, Taeho Jung, Yiyu Shi
- “A Collaboration Strategy in the Mining Pool for Proof-of-Neural-Architecture Consensus”
- Blockchain: Research and Applications
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 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 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 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 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 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