Deng, Robert H.

Crowdbc: a blockchain-based decentralized framework for crowdsourcing

Li, M., Weng, J., Yang, A., Lu, W., Zhang, Y., Hou, L., Liu, J.-N., Xiang, Y., & Deng, R. H. (2019) · IEEE Transactions on Parallel and Distributed Systems

Blockchain Technology Applications and SecurityMobile Crowdsensing and Crowdsourcing

Cited by 522

ShieldFL: Mitigating Model Poisoning Attacks in Privacy-Preserving Federated Learning

Ma, Z., Ma, J., Miao, Y., Li, Y., & Deng, R. H. (2022) · IEEE Transactions on Information Forensics and Security

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 371

Privacy-Preserving Byzantine-Robust Federated Learning via Blockchain Systems

Miao, Y., Liu, Z., Li, H., Choo, K.-K. R., & Deng, R. H. (2022) · IEEE Transactions on Information Forensics and Security

Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security

Cited by 303

Blockchain based Efficient and Robust Fair Payment for Outsourcing Services in Cloud Computing

Zhang, Y., Deng, R. H., Liu, X., & Zheng, D. (2018) · Information Sciences

Blockchain Technology Applications and SecurityCryptography and Data Security

Cited by 228

Attribute-based Encryption for Cloud Computing Access Control: A Survey

Zhang, Y., Deng, R. H., Xu, S., Sun, J., Li, Q., & Zheng, D. (2021) · ACM Computing Surveys

Cryptography and Data SecurityCloud Data Security Solutions

Cited by 176

Boosting Privately: Federated Extreme Gradient Boosting for Mobile Crowdsensing

Liu, Y., Ma, Z., Liu, X., Ma, S., Nepal, S., Deng, R. H., & Ren, K. (2020) · 2020 IEEE 40th International Conference on Distributed Computing Systems (ICDCS)

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 93

VFIRM: Verifiable Fine-Grained Encrypted Image Retrieval in Multi-owner Multi-user Settings

Tong, Q., Miao, Y., Chen, L., Weng, J., Liu, X., Choo, K.-K. R., & Deng, R. H. (2022) · IEEE Transactions on Services Computing

Cryptography and Data SecurityCloud Data Security Solutions

Cited by 58

Boosting Privately: Privacy-Preserving Federated Extreme Boosting for Mobile Crowdsensing

Liu, Y., Ma, Z., Liu, X., Ma, S., Nepal, S., & Deng, R. (2019) · arXiv

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 52

Pocket diagnosis: Secure federated learning against poisoning attack in the cloud

Ma, Z., Ma, J., Miao, Y., Liu, X., Choo, K.-K. R., & Deng, R. H. (2022) · IEEE Transactions on Services Computing

Privacy-Preserving Technologies in DataCloud Data Security Solutions

Cited by 50

FREED: An Efficient Privacy-Preserving Solution for Person Re-IDentification

Zhao, B., Li, Y., Liu, X., Pang, H. H., & Deng, R. H. (2022) · 2022 IEEE Conference on Dependable and Secure Computing (DSC)

Cryptography and Data SecurityVideo Surveillance and Tracking Methods

Cited by 23

Investigating the Adoption of Hybrid Encrypted Cloud Data Deduplication With Game Theory

Liang, X., Yan, Z., Deng, R. H., & Zheng, Q. (2021) · IEEE Transactions on Parallel and Distributed Systems

Cloud Data Security SolutionsAdvanced Data Storage Technologies

Cited by 18