7 citations · 11 across the 7 of their papers we have counts for
7 papers
Semantic Sleuth: Identifying Ponzi Contracts via Large Language Models
Cong Wu, Jing Chen, Ziwei Wang +2
Smart contracts, self-executing agreements directly encoded in code, are fundamental to blockchain technology, especially in decentralized finance (DeFi) and Web3. However, the ris…
HeteroSample: Meta-path Guided Sampling for Heterogeneous Graph Representation Learning
Ao Liu, Jing Chen, Ruiying Du +4
The rapid expansion of Internet of Things (IoT) has resulted in vast, heterogeneous graphs that capture complex interactions among devices, sensors, and systems. Efficient analysis…
DynaShard: Secure and Adaptive Blockchain Sharding Protocol with Hybrid Consensus and Dynamic Shard Management
Ao Liu, Jing Chen, Kun He +6
Blockchain sharding has emerged as a promising solution to the scalability challenges in traditional blockchain systems by partitioning the network into smaller, manageable subsets…
Privacy-preserving Universal Adversarial Defense for Black-box Models
Qiao Li, Cong Wu, Jing Chen +6
Deep neural networks (DNNs) are increasingly used in critical applications such as identity authentication and autonomous driving, where robustness against adversarial attacks is c…
Vulseye: Detect Smart Contract Vulnerabilities via Stateful Directed Graybox Fuzzing
Ruichao Liang, Jing Chen, Cong Wu +6
Smart contracts, the cornerstone of decentralized applications, have become increasingly prominent in revolutionizing the digital landscape. However, vulnerabilities in smart contr…
CLAD: Robust Audio Deepfake Detection Against Manipulation Attacks with Contrastive Learning
Haolin Wu, Jing Chen, Ruiying Du +5
The increasing prevalence of audio deepfakes poses significant security threats, necessitating robust detection methods. While existing detection systems exhibit promise, their rob…