- 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
Category: 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