Haijun Wang

The paper introduces BadStyle, a novel backdoor attack framework that generates natural, stealthy poisoned samples using LLMs to compromise various LLMs with high success rates and robust activation.

This paper proposes AMLGuard, a semantic-aware AML framework for account-based blockchains that tracks illicit fund flows in complex DeFi transactions using rule-based analysis and large language model reasoning.

This paper proposes TrapHunter, a framework to identify deceptive trap tokens in standardized contracts using intent deviation analysis and dynamic validation.