Rui Wang

According to our database, Rui Wang authored at least 14 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

AN-GCN: An Anonymous Graph Convolutional Network Against Edge-Perturbing Attacks.

Ao Liu, Beibei Li, Tao Li, Pan Zhou, Rui Wang

IEEE Trans. Neural Networks Learn. Syst., January, 2024

Low-Frequency Black-Box Backdoor Attack via Evolutionary Algorithm.

Yanqi Qiao, Dazhuang Liu, Rui Wang, Kaitai Liang

CoRR, 2024

2023

PIVODL: Privacy-Preserving Vertical Federated Learning Over Distributed Labels.

Hangyu Zhu, Rui Wang, Yaochu Jin, Kaitai Liang

IEEE Trans. Artif. Intell., October, 2023

FTA: Stealthy and Adaptive Backdoor Attack with Flexible Triggers on Federated Learning.

Yanqi Qiao, Dazhuang Liu, Congwen Chen, Rui Wang, Kaitai Liang

CoRR, 2023

Federated Synthetic Data Generation with Stronger Security Guarantees.

Ali Reza Ghavamipour, Fatih Turkmen, Rui Wang, Kaitai Liang

Proceedings of the 28th ACM Symposium on Access Control Models and Technologies, 2023

2022

BRIEF but Powerful: Byzantine-Robust and Privacy-Preserving Federated Learning via Model Segmentation and Secure clustering.

Rui Wang, Xingkai Wang, Huanhuan Chen, Stjepan Picek, Zhen Liu, Kaitai Liang

CoRR, 2022

Effect of Homomorphic Encryption on the Performance of Training Federated Learning Generative Adversarial Networks.

Ignjat Pejic, Rui Wang, Kaitai Liang

CoRR, 2022

Using Autoencoders on Differentially Private Federated Learning GANs.

Gregor Schram, Rui Wang, Kaitai Liang

CoRR, 2022

MULTI-FLGANs: Multi-Distributed Adversarial Networks for Non-IID distribution.

Akash Amalan, Rui Wang, Yanqi Qiao, Emmanouil Panaousis, Kaitai Liang

CoRR, 2022

More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks.

Jing Xu, Rui Wang, Kaitai Liang, Stjepan Picek

CoRR, 2022

More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks.

Jing Xu, Rui Wang, Stefanos Koffas, Kaitai Liang, Stjepan Picek

Proceedings of the Annual Computer Security Applications Conference, 2022

FLVoogd: Robust And Privacy Preserving Federated Learning.

Yuhang Tian, Rui Wang, Yanqi Qiao, Emmanouil Panaousis, Kaitai Liang

Proceedings of the Asian Conference on Machine Learning, 2022

2021

Distributed additive encryption and quantization for privacy preserving federated deep learning.

Hangyu Zhu, Rui Wang, Yaochu Jin, Kaitai Liang, Jianting Ning

Neurocomputing, 2021

Your Smart Contracts Are Not Secure: Investigating Arbitrageurs and Oracle Manipulators in Ethereum.

Kevin Tjiam, Rui Wang, Huanhuan Chen, Kaitai Liang

Proceedings of the CYSARM@CCS '21: Proceedings of the 3rd Workshop on Cyber-Security Arms Race, 2021