4 citations · 9 across the 11 of their papers we have counts for
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cs.CR2023
FAKEPCD: Fake Point Cloud Detection via Source Attribution
Yiting Qu, Zhikun Zhang, Yun Shen +2
To prevent the mischievous use of synthetic (fake) point clouds produced by generative models, we pioneer the study of detecting point cloud authenticity and attributing them to th…
cs.CV2023★ 3 cited
Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models
Yiting Qu, Xinyue Shen, Xinlei He +3
State-of-the-art Text-to-Image models like Stable Diffusion and DALLE2 are revolutionizing how people generate visual content. At the same time, society has serious concerns…
cs.CR2023
Prompt Stealing Attacks Against Text-to-Image Generation Models
Xinyue Shen, Yiting Qu, Michael Backes +1
Text-to-Image generation models have revolutionized the artwork design process and enabled anyone to create high-quality images by entering text descriptions called prompts. Creati…