Rui Wang - RankMe

30 papers A* 1A 2C 2Journal 22Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A survey on large language models driven meta-optimizers for automated intelligent optimization. Artif. Intell. Rev. Yan Zheng, Lida Zhang, Kaiwen Li, Rui Wang, Wenhua Li, Tao Zhang, Qingfu Zhang, Yaochu Jin
2026	J	`jnl`	Dual-Domain Representation Alignment: Bridging 2D and 3D Vision via Geometry-Aware Architecture Search. CoRR Haoyu Zhang, Zhihao Yu, Rui Wang, Yaochu Jin, Qiqi Liu, Ran Cheng
2026	J	`jnl`	FLAB: Exploring anomaly bias in backdoor attacks. Expert Syst. Appl. Hua Wang, Shaoxiong Wang, Lianhua Wang, Rui Wang
2025	J	`jnl`	FedCmp: Byzantine-robust federated learning through clustering model update parameters. Inf. Sci. Hua Wang, Shaoxiong Wang, Rui Wang, Pengxiang Wang
2025	A*	`conf`	LADDER: Multi-Objective Backdoor Attack via Evolutionary Algorithm. NDSS Dazhuang Liu, Yanqi Qiao, Rui Wang, Kaitai Liang, Georgios Smaragdakis
2025	A	`conf`	Low-Frequency Black-Box Backdoor Attack via Evolutionary Algorithm. WACV Yanqi Qiao, Dazhuang Liu, Rui Wang, Kaitai Liang
2025	—	`conf`	MUDGUARD: Taming Malicious Majorities in Federated Learning using Privacy-preserving Byzantine-robust Clustering. SIGMETRICS (Abstracts) Rui Wang, Xingkai Wang, Huanhuan Chen, Jérémie Decouchant, Stjepan Picek, Nikolaos Laoutaris, Kaitai Liang
2024	J	`jnl`	AN-GCN: An Anonymous Graph Convolutional Network Against Edge-Perturbing Attacks. IEEE Trans. Neural Networks Learn. Syst. Ao Liu, Beibei Li, Tao Li, Pan Zhou, Rui Wang
2024	J	`jnl`	FEVERLESS: Fast and Secure Vertical Federated Learning Based on XGBoost for Decentralized Labels. IEEE Trans. Big Data Rui Wang, Oguzhan Ersoy, Hangyu Zhu, Yaochu Jin, Kaitai Liang
2024	J	`jnl`	LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm. CoRR Dazhuang Liu, Yanqi Qiao, Rui Wang, Kaitai Liang, Georgios Smaragdakis
2024	J	`jnl`	Low-Frequency Black-Box Backdoor Attack via Evolutionary Algorithm. CoRR Yanqi Qiao, Dazhuang Liu, Rui Wang, Kaitai Liang
2024	J	`jnl`	MUDGUARD: Taming Malicious Majorities in Federated Learning using Privacy-preserving Byzantine-robust Clustering. Proc. ACM Meas. Anal. Comput. Syst. Rui Wang, Xingkai Wang, Huanhuan Chen, Jérémie Decouchant, Stjepan Picek, Nikolaos Laoutaris, Kaitai Liang
2024	—	`—`	Secure and resilient federated learning. Rui Wang
2024	J	`jnl`	Stealthy Backdoor Attack Against Federated Learning Through Frequency Domain by Backdoor Neuron Constraint and Model Camouflage. IEEE J. Emerg. Sel. Topics Circuits Syst. Yanqi Qiao, Dazhuang Liu, Rui Wang, Kaitai Liang
2023	J	`jnl`	FTA: Stealthy and Adaptive Backdoor Attack with Flexible Triggers on Federated Learning. CoRR Yanqi Qiao, Dazhuang Liu, Congwen Chen, Rui Wang, Kaitai Liang
2023	C	`conf`	Federated Synthetic Data Generation with Stronger Security Guarantees. SACMAT Ali Reza Ghavamipour, Fatih Turkmen, Rui Wang, Kaitai Liang
2023	J	`jnl`	PIVODL: Privacy-Preserving Vertical Federated Learning Over Distributed Labels. IEEE Trans. Artif. Intell. Hangyu Zhu, Rui Wang, Yaochu Jin, Kaitai Liang
2022	J	`jnl`	BRIEF but Powerful: Byzantine-Robust and Privacy-Preserving Federated Learning via Model Segmentation and Secure clustering. CoRR Rui Wang, Xingkai Wang, Huanhuan Chen, Stjepan Picek, Zhen Liu, Kaitai Liang
2022	J	`jnl`	Effect of Homomorphic Encryption on the Performance of Training Federated Learning Generative Adversarial Networks. CoRR Ignjat Pejic, Rui Wang, Kaitai Liang
2022	C	`conf`	FLVoogd: Robust And Privacy Preserving Federated Learning. ACML Yuhang Tian, Rui Wang, Yanqi Qiao, Emmanouil Panaousis, Kaitai Liang
2022	J	`jnl`	FLVoogd: Robust And Privacy Preserving Federated Learning. CoRR Yuhang Tian, Rui Wang, Yanqi Qiao, Emmanouil Panaousis, Kaitai Liang
2022	J	`jnl`	MULTI-FLGANs: Multi-Distributed Adversarial Networks for Non-IID distribution. CoRR Akash Amalan, Rui Wang, Yanqi Qiao, Emmanouil Panaousis, Kaitai Liang
2022	A	`conf`	More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks. ACSAC Jing Xu, Rui Wang, Stefanos Koffas, Kaitai Liang, Stjepan Picek
2022	J	`jnl`	More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks. CoRR Jing Xu, Rui Wang, Kaitai Liang, Stjepan Picek
2022	J	`jnl`	Using Autoencoders on Differentially Private Federated Learning GANs. CoRR Gregor Schram, Rui Wang, Kaitai Liang
2021	J	`jnl`	Distributed additive encryption and quantization for privacy preserving federated deep learning. Neurocomputing Hangyu Zhu, Rui Wang, Yaochu Jin, Kaitai Liang, Jianting Ning
2021	J	`jnl`	PIVODL: Privacy-preserving vertical federated learning over distributed labels. CoRR Hangyu Zhu, Rui Wang, Yaochu Jin, Kaitai Liang
2021	—	`conf`	Your Smart Contracts Are Not Secure: Investigating Arbitrageurs and Oracle Manipulators in Ethereum. CYSARM@CCS Kevin Tjiam, Rui Wang, Huanhuan Chen, Kaitai Liang
2020	J	`jnl`	Distributed Additive Encryption and Quantization for Privacy Preserving Federated Deep Learning. CoRR Hangyu Zhu, Rui Wang, Yaochu Jin, Kaitai Liang, Jianting Ning
2020	J	`jnl`	SFE-GACN: A Novel Unknown Attack Detection Method Using Intra Categories Generation in Embedding Space. CoRR Ao Liu, Guangquan Xu, Dexiang Zhou, Xi Zheng, Jianting Ning, Rui Wang, Hao Wang, Hong-Ning Dai, Xiaojiang Du