- 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
Tag: Deep Learning
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