Yue Li

Despite advances in LLMs, even syntactically correct outputs often fail to achieve the intended state transitions when translating natural language into executable Ethereum transactions, revealing a critical gap in "reasoning-to-execution" capabilities.

Key contribution not extracted.

Freeing adversarial perturbations from pixel-level constraints by injecting them into the latent space of diffusion models unlocks significantly more robust defense against facial deepfakes.