3 citations · 3 across the 3 of their papers we have counts for
4 papers
Made to Measure: Designing Image Watermarks to Specification
Mingzhe Li, Yuefeng Peng, Kejing Xia +3
Image watermarking supports provenance and attribution by embedding verifiable identity information into images. Practical deployments, however, must jointly satisfy requirements f…
Source or It Didn't Happen: A Multi-Agent Framework for Citation Hallucination Detection
Mingzhe Li, Zhiqiang Lin, Shiqing Ma
Large language models are increasingly used in scientific writing, yet they can fabricate citation-shaped references that appear plausible but fail bibliographic verification. Exis…
PROMPTMINER: Black-Box Prompt Stealing against Text-to-Image Generative Models via Reinforcement Learning and Fuzz Optimization
Mingzhe Li, Renhao Zhang, Zhiyang Wen +4
Text-to-image (T2I) generative models such as Stable Diffusion and FLUX can synthesize realistic, high-quality images directly from textual prompts. The resulting image quality dep…
PAPILLON: Efficient and Stealthy Fuzz Testing-Powered Jailbreaks for LLMs
Xueluan Gong, Mingzhe Li, Yilin Zhang +5
Large Language Models (LLMs) have excelled in various tasks but are still vulnerable to jailbreaking attacks, where attackers create jailbreak prompts to mislead the model to produ…