Yurong Hao

According to our database, Yurong Hao authored at least 14 papers between 2019 and 2026.

Collaborative distances:

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

2026

XDomainBench: Diagnosing Reasoning Collapse in High-Dimensional Scientific Knowledge Composition.

Gong Zhiren, Tiantong Wu, Jiaming Zhang, Fuyao Zhang, Che Wang, Yurong Hao, Yikun Hou, Foo Ping, Yilei Zhao, Fei Huang, Chau Yuen, Wei Yang Bryan Lim

CoRR, May, 2026

FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence.

Xinyu Yan, Boyang Chen, Jiaming Zhang, Tiantong Wu, Hong Xi Tae, Yichen He, Tiantong Wang, Yachun Mi, Yurong Hao, Yilei Zhao, Lei Xiao, Longtao Huang, Pengjun Xie, Wei Liu, Wei Yang Bryan Lim

CoRR, May, 2026

MPU: Towards Secure and Privacy-Preserving Knowledge Unlearning for Large Language Models.

Tiantong Wang, Xinyu Yan, Tiantong Wu, Yurong Hao, Yong Jiang, Fei Huang, Wei Yang Bryan Lim

CoRR, February, 2026

VENOMREC: Cross-Modal Interactive Poisoning for Targeted Promotion in Multimodal LLM Recommender Systems.

Guowei Guan, Yurong Hao, Jiaming Zhang, Tiantong Wu, Fuyao Zhang, Tianxiang Chen, Longtao Huang, Cyril Leung, Wei Yang Bryan Lim

CoRR, February, 2026

Spattack: Subgroup Poisoning Attacks on Federated Recommender Systems.

Bo Yan, Yurong Hao, Dingqi Liu, Huabin Sun, Pengpeng Qiao, Wei Yang Bryan Lim, Yang Cao, Chuan Shi

Proceedings of the ACM Web Conference 2026, 2026

2025

DualTAP: A Dual-Task Adversarial Protector for Mobile MLLM Agents.

Fuyao Zhang, Jiaming Zhang, Che Wang, Xiongtao Sun, Yurong Hao, Guowei Guan, Wenjie Li, Longtao Huang, Wei Yang Bryan Lim

CoRR, November, 2025

Phantom Subgroup Poisoning: Stealth Attacks on Federated Recommender Systems.

Bo Yan, Yurong Hao, Dingqi Liu, Huabin Sun, Pengpeng Qiao, Wei Yang Bryan Lim, Yang Cao, Chuan Shi

CoRR, July, 2025

Verifiably Forgotten? Gradient Differences Still Enable Data Reconstruction in Federated Unlearning.

Fuyao Zhang, Wenjie Li, Yurong Hao, Xinyu Yan, Yang Cao, Wei Yang Bryan Lim

CoRR, May, 2025

AegisGuard: RL-Guided Adapter Tuning for TEE-Based Efficient & Secure On-Device Inference.

Che Wang, Ziqi Zhang, Yinggui Wang, Tiantong Wang, Yurong Hao, Jianbo Gao, Tao Wei, Yang Cao, Zhong Chen, Wei Yang Bryan Lim

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Eyes on Federated Recommendation: Targeted Poisoning With Competition and Its Mitigation.

Yurong Hao, Xihui Chen, Wei Wang, Jiqiang Liu, Tao Li, Junyong Wang, Witold Pedrycz

IEEE Trans. Inf. Forensics Secur., 2024

Not One Less: Exploring Interplay between User Profiles and Items in Untargeted Attacks against Federated Recommendation.

Yurong Hao, Xihui Chen, Xiaoting Lyu, Jiqiang Liu, Yongsheng Zhu, Zhiguo Wan, Sjouke Mauw, Wei Wang

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2021

Privacy protection in government data sharing: an improved LDP-based approach.

Chunhui Piao, Yurong Hao, Jiaqi Yan, Xuehong Jiang

Serv. Oriented Comput. Appl., 2021

Privacy preserving in blockchain-based government data sharing: A Service-On-Chain (SOC) approach.

Chunhui Piao, Yurong Hao, Jiaqi Yan, Xuehong Jiang

Inf. Process. Manag., 2021

2019

Privacy Preserving Government Data Sharing Based on Hyperledger Blockchain.

Yurong Hao, Chunhui Piao, Yongbin Zhao, Xuehong Jiang

Proceedings of the Advances in E-Business Engineering for Ubiquitous Computing, 2019