相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Privacy-Preserving cloud-Aided broad learning system
Haiyang Liu et al.
COMPUTERS & SECURITY (2022)
Novel Secure Outsourcing of Modular Inversion for Arbitrary and Variable Modulus
Chengliang Tian et al.
IEEE TRANSACTIONS ON SERVICES COMPUTING (2022)
Machine Learning on Cloud With Blockchain: A Secure, Verifiable and Fair Approach to Outsource the Linear Regression
Hanlin Zhang et al.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING (2022)
An efficient approach for encrypting double color images into a visually meaningful cipher image using 2D compressive sensing
Xiuli Chai et al.
INFORMATION SCIENCES (2021)
Towards a Compressive-Sensing-Based Lightweight Encryption Scheme for the Internet of Things
Wanli Xue et al.
IEEE TRANSACTIONS ON MOBILE COMPUTING (2021)
Lattice-based weak-key analysis on single-server outsourcing protocols of modular exponentiations and basic countermeasures
Yunhai Zheng et al.
JOURNAL OF COMPUTER AND SYSTEM SCIENCES (2021)
LOW COMPLEXITY SECURE P-TENSOR PRODUCT COMPRESSED SENSING RECONSTRUCTION OUTSOURCING AND IDENTITY AUTHENTICATION IN CLOUD
Mengdi Wang et al.
2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021) (2021)
Compressive Sensing based Multi-class Privacy-preserving Cloud Computing
Gajraj Kuldeep et al.
2020 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM) (2020)
Visual privacy-preserving level evaluation for multilayer compressed sensing model using contrast and salient structural features
Jixin Liu et al.
SIGNAL PROCESSING-IMAGE COMMUNICATION (2020)
Secure compressive sensing of images based on combined chaotic DWT sparse basis and chaotic DCT measurement matrix
Zhongpeng Wang et al.
OPTICS AND LASERS IN ENGINEERING (2020)
Efficiently and securely outsourcing compressed sensing reconstruction to a cloud
Yushu Zhang et al.
INFORMATION SCIENCES (2019)
Edge Computing Security: State of the Art and Challenges
Yinhao Xiao et al.
PROCEEDINGS OF THE IEEE (2019)
A Compressive Sensing based privacy preserving outsourcing of image storage and identity authentication service in cloud
Guiqiang Hu et al.
INFORMATION SCIENCES (2017)
Enabling Secure and Fast Indexing for Privacy-Assured Healthcare Monitoring via Compressive Sensing
Xingliang Yuan et al.
IEEE TRANSACTIONS ON MULTIMEDIA (2016)
A Review of Compressive Sensing in Information Security Field
Yushu Zhang et al.
IEEE ACCESS (2016)
Support-Set-Assured Parallel Outsourcing of Sparse Reconstruction Service for Compressive Sensing in Multi-Clouds
Yushu Zhang et al.
2015 INTERNATIONAL SYMPOSIUM ON SECURITY AND PRIVACY IN SOCIAL NETWORKS AND BIG DATA (SOCIALSEC 2015) (2015)
Efficient computation outsourcing for inverting a class of homomorphic functions
Fangguo Zhang et al.
INFORMATION SCIENCES (2014)
Dividing secrets to secure data outsourcing
Fatih Emekci et al.
INFORMATION SCIENCES (2014)
Achieving security, robust cheating resistance, and high-efficiency for outsourcing large matrix multiplication computation to a malicious cloud
Xinyu Lei et al.
INFORMATION SCIENCES (2014)
Privacy-preserving and verifiable protocols for scientific computation outsourcing to the cloud
Fei Chen et al.
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING (2014)
Privacy-Assured Outsourcing of Image Reconstruction Service in Cloud
Cong Wang et al.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING (2013)
Security Challenges for the Public Cloud
Kui Ren et al.
IEEE INTERNET COMPUTING (2012)
Subspace Pursuit for Compressive Sensing Signal Reconstruction
Wei Dai et al.
IEEE TRANSACTIONS ON INFORMATION THEORY (2009)
The restricted isometry property and its implications for compressed sensing
Emmanuel J. Candes
COMPTES RENDUS MATHEMATIQUE (2008)
An introduction to compressive sampling
Emmanuel J. Candes et al.
IEEE SIGNAL PROCESSING MAGAZINE (2008)
Compressive sensing
Richard G. Baraniuk
IEEE SIGNAL PROCESSING MAGAZINE (2007)
Near-optimal signal recovery from random projections: Universal encoding strategies?
Emmanuel J. Candes et al.
IEEE TRANSACTIONS ON INFORMATION THEORY (2006)
Compressed sensing
DL Donoho
IEEE TRANSACTIONS ON INFORMATION THEORY (2006)
Robust uncertainty principles:: Exact signal reconstruction from highly incomplete frequency information
EJ Candès et al.
IEEE TRANSACTIONS ON INFORMATION THEORY (2006)
分享论文
