1 citations · 1 across the 6 of their papers we have counts for
6 papers
RISKTAGGER: Evidence-Guided LLM Agent for Post-Incident Forensic Analysis of Money Laundering in Web3
Dan Lin, Yanli Ding, Weipeng Zou +5
Cryptocurrency money-laundering forensic analysis after Web3 incidents faces challenges such as fragmented evidence, expanding transaction paths, and cross-chain discontinuity. Exi…
Unnoticeable Community Deception via Multi-objective Optimization
Junyuan Fang, Huimin Liu, Yueqi Peng +3
Community detection in graphs is crucial for understanding the organization of nodes into densely connected clusters. While numerous strategies have been developed to identify thes…
BridgeShield: Risk-Aware Graph Modeling for Cross-Chain Bridge Attack Detection
Dan Lin, Shunfeng Lu, Ziyan Liu +7
Cross-chain bridges enable asset and state transfers across heterogeneous blockchains, but their complex cross-domain interactions introduce new attack surfaces that are difficult…
SolPhishHunter: Towards Detecting and Understanding Phishing on Solana
Ziwei Li, Zigui Jiang, Ming Fang +5
Solana is a rapidly evolving blockchain platform that has attracted an increasing number of users. However, this growth has also drawn the attention of malicious actors, with some…
Quantifying the Noise of Structural Perturbations on Graph Adversarial Attacks
Junyuan Fang, Han Yang, Haixian Wen +3
Graph neural networks have been widely utilized to solve graph-related tasks because of their strong learning power in utilizing the local information of neighbors. However, recent…
Mitigating the Structural Bias in Graph Adversarial Defenses
Junyuan Fang, Huimin Liu, Han Yang +3
In recent years, graph neural networks (GNNs) have shown great potential in addressing various graph structure-related downstream tasks. However, recent studies have found that cur…