Lyu, Lingjuan

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

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

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

Data Poisoning Attacks on Federated Machine Learning

Sun, G., Cong, Y., Dong, J., Wang, Q., Lyu, L., & Liu, J. (2022) · IEEE Internet of Things Journal

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 310

Towards Fair and Privacy-Preserving Federated Deep Models

Lyu, L., Yu, J., Nandakumar, K., Li, Y., Ma, X., Jin, J., Yu, H., & Ng, K. S. (2020) · IEEE Transactions on Parallel and Distributed Systems

Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security

Cited by 250

PPFA: Privacy Preserving Fog-Enabled Aggregation in Smart Grid

Lyu, L., Nandakumar, K., Rubinstein, B., Jin, J., Bedo, J., & Palaniswami, M. (2018) · IEEE Transactions on Industrial Informatics

Privacy-Preserving Technologies in DataSmart Grid Security and Resilience

Cited by 240

Threats to federated learning A survey

Lyu, L., Yu, H., & Yang, Q. (2020) · arXiv

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 221

Fog-Embedded Deep Learning for the Internet of Things

Lyu, L., Bezdek, J. C., He, X., & Jin, J. (2019) · IEEE Transactions on Industrial Informatics

IoT and Edge/Fog ComputingPrivacy-Preserving Technologies in Data

Cited by 61

Protecting Intellectual Property of Language Generation APIs with Lexical Watermark

He, X., Xu, Q., Lyu, L., Wu, F., & Wang, C. (2022) · Proceedings of the AAAI Conference on Artificial Intelligence

Adversarial Robustness in Machine LearningAdvanced Steganography and Watermarking Techniques

Cited by 56

Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness

Lyu, L., He, X., & Li, Y. (2020) · Findings of the Association for Computational Linguistics: EMNLP 2020

Privacy-Preserving Technologies in DataPrivacy, Security, and Data Protection

Cited by 51

FORESEEN: Towards Differentially Private Deep Inference for Intelligent Internet of Things

Lyu, L., Bezdek, J. C., Jin, J., & Yang, Y. (2020) · IEEE Journal on Selected Areas in Communications

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 34

Practical Attribute Reconstruction Attack Against Federated Learning

Chen, C., Lyu, L., Yu, H., & Chen, G. (2024) · IEEE Transactions on Big Data

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 30

Differentially Private Knowledge Distillation for Mobile Analytics

Lyu, L., & Chen, C.-H. (2020) · Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval

Privacy-Preserving Technologies in DataAdvanced Neural Network Applications

Cited by 14

V2X-Boosted Federated Learning for Cooperative Intelligent Transportation Systems with Contextual Client Selection

Song, R., Lyu, L., Jiang, W., Festag, A., & Knoll, A. (2023) · arXiv

Privacy-Preserving Technologies in DataVehicular Ad Hoc Networks (VANETs)

Cited by 11

DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models

Wang, Z., Chen, C., Lyu, L., Metaxas, D. N., & Ma, S. (2023) · arXiv

Digital Media Forensic DetectionAdversarial Robustness in Machine Learning

Cited by 0