Liu, Ximeng

Toward efficient and privacy-preserving computing in big data era

Lu, R., Zhu, H., Liu, X., Liu, J. K., & Shao, J. (2014) · IEEE Network

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 325

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

A Decentralized Location Privacy-Preserving Spatial Crowdsourcing for Internet of Vehicles

Zhang, J., Yang, F., Ma, Z., Wang, Z., Liu, X., & Ma, J. (2021) · IEEE Transactions on Intelligent Transportation Systems

Mobile Crowdsensing and CrowdsourcingPrivacy-Preserving Technologies in Data

Cited by 98

Backdoor Defense with Machine Unlearning

Liu, Y., Fan, M., Chen, C., Liu, X., Ma, Z., Wang, L., & Ma, J. (2022) · IEEE INFOCOM 2022 - IEEE Conference on Computer Communications

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 95

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

A secure data self-destructing scheme in cloud computing

Xiong, J., Liu, X., Yao, Z., Ma, J., Li, Q., Geng, K., & Chen, P. S. (2014) · IEEE Transactions on Cloud Computing

Cryptography and Data SecurityCloud Data Security Solutions

Cited by 80

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

RevFRF: Enabling Cross-Domain Random Forest Training With Revocable Federated Learning

Liu, Y., Ma, Z., Yang, Y., Liu, X., Ma, J., & Ren, K. (2022) · IEEE Transactions on Dependable and Secure Computing

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 49

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

Cloud-based federated boosting for mobile crowdsensing

Wang, Z., Yang, Y., Liu, Y., Liu, X., Gupta, B. B., & Ma, J. (2020) · arXiv

Privacy-Preserving Technologies in DataCloud Data Security Solutions

Cited by 6

VeriRange: A Verifiable Range Query Model on Encrypted Geographic Data for IoT Environment

Ma, W., Peng, Y., Liu, X., & Cui, J. (2024) · IEEE Internet of Things Journal

Cloud Data Security SolutionsCryptography and Data Security

Cited by 5