Copyright Protection in Generative AI: A Technical Perspective

no code implementations • 4 Feb 2024 • Jie Ren, Han Xu, Pengfei He, Yingqian Cui, Shenglai Zeng, Jiankun Zhang, Hongzhi Wen, Jiayuan Ding, Hui Liu, Yi Chang, Jiliang Tang

We examine from two distinct viewpoints: the copyrights pertaining to the source data held by the data owners and those of the generative models maintained by the model builders.

Superiority of Multi-Head Attention in In-Context Linear Regression

no code implementations • 30 Jan 2024 • Yingqian Cui, Jie Ren, Pengfei He, Jiliang Tang, Yue Xing

We present a theoretical analysis of the performance of transformer with softmax attention in in-context learning with linear regression tasks.

In-Context Learning regression

FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models

no code implementations • 3 Oct 2023 • Yingqian Cui, Jie Ren, Yuping Lin, Han Xu, Pengfei He, Yue Xing, Wenqi Fan, Hui Liu, Jiliang Tang

Text-to-image generative models based on latent diffusion models (LDM) have demonstrated their outstanding ability in generating high-quality and high-resolution images according to language prompt.

Face Transfer

On the Generalization of Training-based ChatGPT Detection Methods

1 code implementation • 2 Oct 2023 • Han Xu, Jie Ren, Pengfei He, Shenglai Zeng, Yingqian Cui, Amy Liu, Hui Liu, Jiliang Tang

ChatGPT is one of the most popular language models which achieve amazing performance on various natural language tasks.

DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models

no code implementations • 25 May 2023 • Yingqian Cui, Jie Ren, Han Xu, Pengfei He, Hui Liu, Lichao Sun, Yue Xing, Jiliang Tang

By detecting the watermark from generated images, copyright infringement can be exposed with evidence.