SFE-GACN: A Novel Unknown Attack Detection Method Using Intra Categories Generation in Embedding Space. - Ao Liu 005; Guangquan Xu; Dexiang Zhou; Xi Zheng 001; Jianting Ning; Rui Wang 070; Hao Wang 003; Hong-Ning Dai; Xiaojiang Du (CoRR, 2020)

Your Smart Contracts Are Not Secure: Investigating Arbitrageurs and Oracle Manipulators in Ethereum. - Kevin Tjiam; Rui Wang 070; Huanhuan Chen; Kaitai Liang (CYSARM@CCS, 2021)

Distributed additive encryption and quantization for privacy preserving federated deep learning. - Hangyu Zhu; Rui Wang 070; Yaochu Jin; Kaitai Liang; Jianting Ning (Neurocomputing, 2021)

FLVoogd: Robust And Privacy Preserving Federated Learning. - Yuhang Tian; Rui Wang 070; Yanqi Qiao; Emmanouil Panaousis; Kaitai Liang (ACML, 2022)

More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks. - Jing Xu 028; Rui Wang 070; Stefanos Koffas; Kaitai Liang; Stjepan Picek (ACSAC, 2022)

More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks. - Jing Xu 028; Rui Wang 070; Kaitai Liang; Stjepan Picek (CoRR, 2022)

MULTI-FLGANs: Multi-Distributed Adversarial Networks for Non-IID distribution. - Akash Amalan; Rui Wang 070; Yanqi Qiao; Emmanouil Panaousis; Kaitai Liang (CoRR, 2022)

Using Autoencoders on Differentially Private Federated Learning GANs. - Gregor Schram; Rui Wang 070; Kaitai Liang (CoRR, 2022)

Effect of Homomorphic Encryption on the Performance of Training Federated Learning Generative Adversarial Networks. - Ignjat Pejic; Rui Wang 070; Kaitai Liang (CoRR, 2022)

BRIEF but Powerful: Byzantine-Robust and Privacy-Preserving Federated Learning via Model Segmentation and Secure clustering. - Rui Wang 070; Xingkai Wang; Huanhuan Chen; Stjepan Picek; Zhen Liu 008; Kaitai Liang (CoRR, 2022)

Federated Synthetic Data Generation with Stronger Security Guarantees. - Ali Reza Ghavamipour; Fatih Turkmen; Rui Wang 070; Kaitai Liang (SACMAT, 2023)

FTA: Stealthy and Adaptive Backdoor Attack with Flexible Triggers on Federated Learning. - Yanqi Qiao; Dazhuang Liu; Congwen Chen; Rui Wang 070; Kaitai Liang (CoRR, 2023)

PIVODL: Privacy-Preserving Vertical Federated Learning Over Distributed Labels. - Hangyu Zhu; Rui Wang 070; Yaochu Jin; Kaitai Liang (IEEE Trans. Artif. Intell., 2023)

Secure and resilient federated learning. - Rui Wang 070 (2024)

AN-GCN: An Anonymous Graph Convolutional Network Against Edge-Perturbing Attacks. - Ao Liu 005; Beibei Li 002; Tao Li 016; Pan Zhou 001; Rui Wang 070 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Stealthy Backdoor Attack Against Federated Learning Through Frequency Domain by Backdoor Neuron Constraint and Model Camouflage. - Yanqi Qiao; Dazhuang Liu; Rui Wang 070; Kaitai Liang (IEEE J. Emerg. Sel. Topics Circuits Syst., 2024)

MUDGUARD: Taming Malicious Majorities in Federated Learning using Privacy-preserving Byzantine-robust Clustering. - Rui Wang 070; Xingkai Wang; Huanhuan Chen; Jérémie Decouchant; Stjepan Picek; Nikolaos Laoutaris; Kaitai Liang (Proc. ACM Meas. Anal. Comput. Syst., 2024)

FEVERLESS: Fast and Secure Vertical Federated Learning Based on XGBoost for Decentralized Labels. - Rui Wang 070; Oguzhan Ersoy; Hangyu Zhu; Yaochu Jin; Kaitai Liang (IEEE Trans. Big Data, 2024)

LADDER: Multi-Objective Backdoor Attack via Evolutionary Algorithm. - Dazhuang Liu; Yanqi Qiao; Rui Wang 070; Kaitai Liang; Georgios Smaragdakis (NDSS, 2025)

Low-Frequency Black-Box Backdoor Attack via Evolutionary Algorithm. - Yanqi Qiao; Dazhuang Liu; Rui Wang 070; Kaitai Liang (WACV, 2025)

FedCmp: Byzantine-robust federated learning through clustering model update parameters. - Hua Wang; Shaoxiong Wang; Rui Wang 070; Pengxiang Wang (Inf. Sci., 2025)