A Differential Approach for Data and Classification Service-Based Privacy-Preserving Machine Learning Model in Cloud Environment

Computer-Aided-Diagnosis as a Service on Decentralized Medical Cloud for Efficient and Rapid Emergency Response Intelligence

(2021) Amirhossein Peyvandi et al.   NEW GENERATION COMPUTING

BiPhase adaptive learning-based neural network model for cloud datacenter workload forecasting

(2020) Jitendra Kumar et al.   SOFT COMPUTING

Adaptive privacy-preserving federated learning

(2020) Xiaoyuan Liu et al.   Peer-to-Peer Networking and Applications

Differentially private ensemble learning for classification

(2020) Xianxian Li et al.   NEUROCOMPUTING

MLPAM: A Machine Learning and Probabilistic Analysis Based Model for Preserving Security and Privacy in Cloud Environment

(2020) Ishu Gupta et al.   IEEE Systems Journal

Local differential privacy for social network publishing

(2019) Peng Liu et al.   NEUROCOMPUTING

Differential privacy for sparse classification learning

(2019) Puyu Wang et al.   NEUROCOMPUTING

Development and Evaluation of a New Platform for Accelerating Cross-Domain Data Exchange and Cooperation

(2019) Daiji Iwasa et al.   NEW GENERATION COMPUTING

Novel trajectory data publishing method under differential privacy

(2019) Xiaodong Zhao et al.   EXPERT SYSTEMS WITH APPLICATIONS

Privacy preserving classification on local differential privacy in data centers

(2019) Weibei Fan et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

Differentially private classification with decision tree ensemble

(2018) Xiaoqian Liu et al.   APPLIED SOFT COMPUTING

Privacy-preserving machine learning with multiple data providers

(2018) Ping Li et al.   Future Generation Computer Systems-The International Journal of eScience

Secure Fine-Grained Access Control and Data Sharing for Dynamic Groups in the Cloud

(2018) Shengmin Xu et al.   IEEE Transactions on Information Forensics and Security

Enabling Identity-Based Integrity Auditing and Data Sharing with Sensitive Information Hiding for Secure Cloud Storage

(2018) Wenting Shen et al.   IEEE Transactions on Information Forensics and Security

Differentially private Naive Bayes learning over multiple data sources

(2018) Tong Li et al.   INFORMATION SCIENCES

Privacy-preserving Naive Bayes classifiers secure against the substitution-then-comparison attack

(2018) Chong-zhi Gao et al.   INFORMATION SCIENCES

Privacy-preserving Crowd-sourced Statistical Data Publishing with An Untrusted Server

(2018)   IEEE TRANSACTIONS ON MOBILE COMPUTING

PDLM: Privacy-Preserving Deep Learning Model on Cloud with Multiple Keys

(2018) Xindi Ma et al.   IEEE Transactions on Services Computing

Privacy in cloud computing environments: a survey and research challenges

(2017) Amal Ghorbel et al.   JOURNAL OF SUPERCOMPUTING

Efficient and secure BIG data delivery in Cloud Computing

(2017) Christos Stergiou et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Security in cloud computing: Opportunities and challenges

(2015) Mazhar Ali et al.   INFORMATION SCIENCES

Security and privacy for storage and computation in cloud computing

(2013) Lifei Wei et al.   INFORMATION SCIENCES

Correlated network data publication via differential privacy

(2013) Rui Chen et al.   VLDB JOURNAL

Automatic recommendation of classification algorithms based on data set characteristics

(2012) Qinbao Song et al.   PATTERN RECOGNITION