11 papers
Online Prompt Pricing based on Combinatorial Multi-Armed Bandit and Hierarchical Stackelberg Game
Meiling Li, Hongrun Ren, Haixu Xiong +2
Generation models have shown promising performance in various tasks, making trading around machine learning models possible. In this paper, we aim at a novel prompt trading scenari…
Regeneration Based Training-free Attribution of Fake Images Generated by Text-to-Image Generative Models
Meiling Li, Zhenxing Qian, Xinpeng Zhang
Text-to-image generative models have recently garnered significant attention due to their ability to generate images based on prompt descriptions. While these models have shown pro…
An Exceptional Dataset For Rare Pancreatic Tumor Segmentation
Wenqi Li, Yingli Chen, Keyang Zhou +6
Pancreatic NEuroendocrine Tumors (pNETs) are very rare endocrine neoplasms that account for less than 5% of all pancreatic malignancies, with an incidence of only 1-1.5 cases per 1…
ScreenMark: Watermarking Arbitrary Visual Content on Screen
Xiujian Liang, Gaozhi Liu, Yichao Si +2
Digital watermarking has shown its effectiveness in protecting multimedia content. However, existing watermarking is predominantly tailored for specific media types, rendering them…
Exploring Depth Information for Detecting Manipulated Face Videos
Haoyue Wang, Sheng Li, Ji He +3
Face manipulation detection has been receiving a lot of attention for the reliability and security of the face images/videos. Recent studies focus on using auxiliary information or…
Federated Learning with Label-Masking Distillation
Jianghu Lu, Shikun Li, Kexin Bao +3
Federated learning provides a privacy-preserving manner to collaboratively train models on data distributed over multiple local clients via the coordination of a global server. In…