Zhao, Jun

Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices

Zhao, Y., Zhao, J., Jiang, L., Tan, R., Niyato, D., Li, Z., Lyu, L., & Liu, Y. (2021) · IEEE Internet of Things Journal

Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security

Cited by 613

Toward secure blockchain-enabled internet of vehicles: optimizing consensus management using reputation and contract theory

Kang, J., Xiong, Z., Niyato, D., Ye, D., Kim, D. I., & Zhao, J. (2019) · IEEE Transactions on Vehicular Technology

Blockchain Technology Applications and SecurityVehicular Ad Hoc Networks (VANETs)

Cited by 604

Privacy and Robustness in Federated Learning: Attacks and Defenses

Lyu, L., Yu, H., Ma, X., Chen, C., Sun, L., Zhao, J., Yang, Q., & Yu, P. S. (2024) · IEEE Transactions on Neural Networks and Learning Systems

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 548

Recent Advances in Adversarial Training for Adversarial Robustness

Bai, T., Luo, J., Zhao, J., Wen, B., & Wang, Q. (2021) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 490

Recent Advances in Adversarial Training for Adversarial Robustness

Bai, T., Luo, J., Zhao, J., Wen, B., & Wang, Q. (2021) · Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 490

Local Differential Privacy-Based Federated Learning for Internet of Things

Zhao, Y., Zhao, J., Yang, M., Wang, T., Wang, N., Lyu, L., Niyato, D., & Lam, K.-Y. (2021) · IEEE Internet of Things Journal

Privacy-Preserving Technologies in DataInternet Traffic Analysis and Secure E-voting

Cited by 456

Threats to Federated Learning

Lyu, L., Yu, H., Zhao, J., & Yang, Q. (2020) · Lecture Notes in Computer Science

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 444

Blockchain for Edge of Things: Applications, Opportunities, and Challenges

Gadekallu, T. R., Pham, Q.-V., Nguyen, D. C., Maddikunta, P. K. R., Deepa, N., Prabadevi, B., Pathirana, P. N., Zhao, J., & Hwang, W.-J. (2022) · IEEE Internet of Things Journal

Blockchain Technology Applications and SecurityIoT and Edge/Fog Computing

Cited by 217

Deepfakes, Misinformation, and Disinformation in the Era of Frontier AI, Generative AI, and Large AI Models

Shoaib, M. R., Wang, Z., Ahvanooey, M. T., & Zhao, J. (2023) · 2023 International Conference on Computer and Applications (ICCA)

Misinformation and Its ImpactsDigital Media Forensic Detection

Cited by 202

Resource Allocation in Mobility-Aware Federated Learning Networks: A Deep Reinforcement Learning Approach

Nguyen, H. T., Cong Luong, N., Zhao, J., Yuen, C., & Niyato, D. (2020) · 2020 IEEE 6th World Forum on Internet of Things (WF-IoT)

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 75

AI-GAN: Attack-Inspired Generation of Adversarial Examples

Bai, T., Zhao, J., Zhu, J., Han, S., Chen, J., Li, B., & Kot, A. (2021) · 2021 IEEE International Conference on Image Processing (ICIP)

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 58