Liu, Joseph K.

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

A comprehensive overview of Deepfake: generation, detection, datasets, and opportunities

Seow, J. W., Lim, M. K., Phan, R. C. W., & Liu, J. K. (2022) · Neurocomputing

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 149

MatRiCT: Efficient, Scalable and Post-Quantum Blockchain Confidential Transactions Protocol

Esgin, M. F., Zhao, R. K., Steinfeld, R., Liu, J. K., & Liu, D. (2019) · Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security

Cryptography and Data SecurityBlockchain Technology Applications and Security

Cited by 96

Symbolic Representation for Any-to-Any Generative Tasks

Chen, J., Zhu, X., Wang, Y., Liu, T., Chen, X., Chen, Y., Leong, C. T., Ke, Y., Liu, J., Yuan, Y., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 2