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

3 October 2023

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

10 / 10 papers shown

Title
Generative Watermarking Against Unauthorized Subject-Driven Image Synthesis Yi Ma Zhengyu Zhao Xinlei He Zheng Li Michael Backes Yang Zhang AAML WIGM 64 21 0 13 Jun 2023
Anti-DreamBooth: Protecting users from personalized text-to-image synthesis T. Le Hao Phung Thuan Hoang Nguyen Quan Dao Ngoc N. Tran Anh Tran 74 98 0 27 Mar 2023
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion Rinon Gal Yuval Alaluf Yuval Atzmon Or Patashnik Amit H. Bermano Gal Chechik Daniel Cohen-Or 107 1,862 0 02 Aug 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 147 3,858 0 26 Jul 2022
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 178 7,765 0 11 May 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 292 6,409 0 26 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 208 7,294 0 06 Oct 2020
Feature Purification: How Adversarial Training Performs Robust Deep Learning Zeyuan Allen-Zhu Yuanzhi Li MLT AAML 61 150 0 20 May 2020
HiDDeN: Hiding Data With Deep Networks Jiren Zhu Russell Kaplan Justin Johnson Li Fei-Fei WIGM 52 747 0 26 Jul 2018
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 269 12,029 0 19 Jun 2017