19 citations · 39 across the 6 of their papers we have counts for
6 papers
From Neural Intent to Cryptographic Authorization: Securing AI-Driven Enterprise Workflows
Jiasi Weng, Jian Weng, Minrong Chen +4
The rapid adoption of artificial intelligence (AI)-driven workflows is transforming high-consequence government and enterprise systems into language-based, tool-using and increasin…
OPAF: Optimized Secure Two-Party Computation Protocols for Nonlinear Activation Functions in Recurrent Neural Network
Qian Feng, Zhihua Xia, Zhifeng Xu +2
Deep neural network (DNN) typically involves convolutions, pooling, and activation function. Due to the growing concern about privacy, privacy-preserving DNN becomes a hot research…
Fusion: Efficient and Secure Inference Resilient to Malicious Servers
Caiqin Dong, Jian Weng, Jia-Nan Liu +5
In secure machine learning inference, most of the schemes assume that the server is semi-honest (honestly following the protocol but attempting to infer additional information). Ho…
pvCNN: Privacy-Preserving and Verifiable Convolutional Neural Network Testing
Jiasi Weng, Jian Weng, Gui Tang +3
This paper proposes a new approach for privacy-preserving and verifiable convolutional neural network (CNN) testing, enabling a CNN model developer to convince a user of the truthf…
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…
Secure Software-Defined Networking Based on Blockchain
Weng Jiasi, Weng Jian, Liu Jia-Nan +1
Software-Defined Networking (SDN) separates the network control plane and data plane, which provides a network-wide view with centralized control (in the control plane) and program…