The emergence of mobile edge computing (MEC) enables resource-limited user devices to
run computation-intensive applications with the aid of edge server, but the untrustworthiness …

There are two main security concerns in outsourcing computations. One is how to protect the
privacy of the outsourced data, and the other is how to ensure the correctness of the …

Compared with traditional wireless sensor networks, mobile crowdsensing networks have
advantages of low cost, easy maintenance, and high scalability, which will play a role in city …

With the development of deep learning processors and accelerators, deep learning models
have been widely deployed on edge devices as part of the Internet of Things. Edge device …

介绍同态签名的研究背景, 意义和当前现状, 描述了同态签名方案的基本概念,
分析了同态签名方案所具有的安全性等其他相关特性, 以及密码学基础. 系统地论述了目前同态 …

Group signature (GS) schemes are an important primitive in cryptography that provides
anonymity and traceability for a group of users. In this paper, we propose a new approach to …

With the development of deep learning processors and accelerators, deep learning models
have been widely deployed on edge devices as part of the Internet of Things. Edge device …

When using machine learning classifiers to classify data in cloud computing, it is crucial to
maintain data privacy and ensure the correctness of classification results. To address these …

Choi, Katz, Kumaresan, and Cid put forward the conception of multiclient noninteractive
verifiable computation (MVC), enabling a group of clients to outsource computation of a …

Abstract Gordon et al.(TCC 2015) systematically studied the security of Multi-client Verifiable
Computation (MVC), in which a set of computationally-weak clients outsource the …