most citedCopyScope: Model-level Copyright Infringement Quantification in the Diffusion Workflow

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2024

Siamese Multiple Attention Temporal Convolution Networks for Human Mobility Signature Identification

Zhipeng Zheng, Yuchen Jiang, Shiyao Zhang +1

The Human Mobility Signature Identification (HuMID) problem stands as a fundamental task within the realm of driving style representation, dedicated to discerning latent driving be…

cs.LG20241 cited

ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model

Yuanshao Zhu, James Jianqiao Yu, Xiangyu Zhao +6

Generating trajectory data is among promising solutions to addressing privacy concerns, collection costs, and proprietary restrictions usually associated with human mobility analys…

cs.CY2024

Copyleft for Alleviating AIGC Copyright Dilemma: What-if Analysis, Public Perception and Implications

Xinwei Guo, Yujun Li, Yafeng Peng +1

As AIGC has impacted our society profoundly in the past years, ethical issues have received tremendous attention. The most urgent one is the AIGC copyright dilemma, which can immen…

cs.CV20231 cited

CopyScope: Model-level Copyright Infringement Quantification in the Diffusion Workflow

Junlei Zhou, Jiashi Gao, Ziwei Wang +1

Web-based AI image generation has become an innovative art form that can generate novel artworks with the rapid development of the diffusion model. However, this new technique brin…

cs.CR2023

ItoV: Efficiently Adapting Deep Learning-based Image Watermarking to Video Watermarking

Guanhui Ye, Jiashi Gao, Yuchen Wang +2

Robust watermarking tries to conceal information within a cover image/video imperceptibly that is resistant to various distortions. Recently, deep learning-based approaches for ima…