4 papers
Position: Generative Engine Optimization Creates Underexamined Risks, Governance Must Target Concentration, Disclosure, and Academic Blind Spots
Yizhu Wen, Nan Zhang, Haohan Yuan +3
Large language model (LLM) answer engines are increasingly used for information seeking, shifting visibility from ranked lists to synthesized answers. This enables Generative Engin…
Mental Damage: Caption Poisoning Attacks on Retrieval-Augmented Text-to-Music Generation
Yizhu Wen, Shuhao Zhang, Nan Zhang +2
Retrieval-augmented text-to-music (TTM) systems augment underspecified user prompts using captions retrieved from a music caption dataset. This design introduces an integrity depen…
Web Intellectual Property at Risk: Preventing Unauthorized Real-Time Retrieval by Large Language Models
Yisheng Zhong, Yizhu Wen, Junfeng Guo +4
The protection of cyber Intellectual Property (IP) such as web content is an increasingly critical concern. The rise of large language models (LLMs) with online retrieval capabilit…
SoK: How Robust is Audio Watermarking in Generative AI models?
Yizhu Wen, Ashwin Innuganti, Aaron Bien Ramos +2
Audio watermarking is increasingly used to verify the provenance of AI-generated content, enabling applications such as detecting AI-generated speech, protecting music IP, and defe…