Research & Publications [Back to Home]

* Equal contribution, † Corresponding author

Benchmarks & Datasets

XDomainBench thumbnail

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

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

ICML 2026
# LLM Evaluation # Scientific Reasoning # Benchmark and Datasets
FraudBench thumbnail

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.

arXiv 2026
# MLLM Benchmark # Refund Fraud Detection

LLM & Agent Security

VenomRec thumbnail

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.

ICML 2026
# Cross-Modal Poisoning Attack # MLLM-based Recommender Systems
ModelPirate thumbnail

An Empirical Study on the Resilience of Partial Merging to Model Clone Attacks

Tiantong Wu, Yurong Hao, Wei Yang Bryan Lim.

ICML 2026
# Model Merging # Model Security
MPU thumbnail

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

Tiantong Wang, Xinyu Yan, Tiantong Wu, Yurong Hao, Pengjun Xie, Wei Yang Bryan Lim.

arXiv 2026
# Large Language Models # Machine Unlearning # Knowledge Erasure
AegisGuard thumbnail

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.

NeurIPS 2025
# On-Device Inference # TEE Security # Reinforcement Learning
DualTAP thumbnail

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.

ECCV 2026
# Mobile MLLM # Adversarial Defense # Agent Security

Distributed AI Security

Spattack thumbnail

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.

WWW 2026 Oral
# Federated Learning # Subgroup Poisoning Attacks
Gradient Reconstruction thumbnail

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.

arXiv 2025
# Federated Unlearning # Data Reconstruction Attack # Privacy Leakage
StairClimbing thumbnail

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 TIFS
# Federated Recommendation # Targeted Poisoning Attack # Targeted Defence
FRecAttack2 thumbnail

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.

ACM CCS 2024 Oral
# Federated Recommendation # Untargeted Poisoning Attacks # Untargeted Defence

Privacy-Preserving Computation

MPU thumbnail

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

Tiantong Wang, Xinyu Yan, Tiantong Wu, Yurong Hao, Pengjun Xie, Wei Yang Bryan Lim.

arXiv 2026
# Large Language Models # Machine Unlearning # Knowledge Erasure
SOC thumbnail

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

Chunhui Piao, Yurong Hao, Jiaqi Yan, Xuehong Jiang.

IP&M 2021
# Blockchain # Data Sharing # Service-On-Chain
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Privacy Protection in Government Data Sharing: An Improved LDP-based Approach

Chunhui Piao, Yurong Hao, Jiaqi Yan, Xuehong Jiang.

SOCA 2021
# Local Differential Privacy # Data Sharing # CMS
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Privacy Preserving Government Data Sharing Based on Hyperledger Blockchain

Yurong Hao, Chunhui Piao, Yongbin Zhao, Xuehong Jiang.

IEEE ICEBE 2019
# Blockchain # Privacy-Preserving # Government Data Sharing

Model Efficiency

SubspacePath thumbnail

SubspacePath Pruner: Inference-time Pruning via Probe-based Representation–Parameter Coupling

Zhiren Gong, Yikun Hou, Fan Wu, Che Wang, Fuyao Zhang, Tiantong Wu, Yurong Hao, Jiaming Zhang, Yiyang Duan, Tiantong Wang, Fei Huang, Chau Yuen, Wei Yang Bryan Lim.

ICML 2026
# LLM Efficiency # Inference-Time Pruning # Routing