17 citations · 23 across the 4 of their papers we have counts for
7 papers
Proof of Unlearning: Definitions and Instantiation
Jiasi Weng, Shenglong Yao, Yuefeng Du +3
The "Right to be Forgotten" rule in machine learning (ML) practice enables some individual data to be deleted from a trained model, as pursued by recently developed machine unlearn…
FedServing: A Federated Prediction Serving Framework Based on Incentive Mechanism
Jiasi Weng, Jian Weng, Hongwei Huang +2
Data holders, such as mobile apps, hospitals and banks, are capable of training machine learning (ML) models and enjoy many intelligence services. To benefit more individuals lacki…
Golden Grain: Building a Secure and Decentralized Model Marketplace for MLaaS
Jiasi Weng, Jian Weng, Chengjun Cai +2
ML-as-a-service (MLaaS) becomes increasingly popular and revolutionizes the lives of people. A natural requirement for MLaaS is, however, to provide highly accurate prediction serv…
Peripheral-free Device Pairing by Randomly Switching Power
Zhijian Shao, Jian Weng, Yue Zhang +5
The popularity of Internet-of-Things (IoT) comes with security concerns. Attacks against wireless communication venues of IoT (e.g., Man-in-the-Middle attacks) have grown at an ala…
SecEL: Privacy-Preserving, Verifiable and Fault-Tolerant Edge Learning for Autonomous Vehicles
Jiasi Weng, Jian Weng, Yue Zhang +2
Mobile edge computing (MEC) is an emerging technology to transform the cloud-based computing services into the edge-based ones. Autonomous vehicular network (AVNET), as one of the…
Onionchain: Towards Balancing Privacy and Traceability of Blockchain-Based Applications
Yue Zhang, Jian Weng, Jiasi Weng +2
With the popularity of Blockchain comes grave security-related concerns. Achieving privacy and traceability simultaneously remains an open question. Efforts have been made to addre…