Mist: Towards Improved Adversarial Examples for Diffusion Models

22 May 2023

Papers citing "Mist: Towards Improved Adversarial Examples for Diffusion Models"

8 / 8 papers shown

Title
DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing Aniruddha Bala Rohit Chowdhury Rohan Jaiswal Siddharth Roheda DiffM AAML 64 0 0 24 Apr 2025
Nearly Zero-Cost Protection Against Mimicry by Personalized Diffusion Models Namhyuk Ahn Kiyoon Yoo Wonhyuk Ahn Daesik Kim Seung-Hun Nam AAML WIGM DiffM 82 0 0 16 Dec 2024
DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing June Suk Choi Kyungmin Lee Jongheon Jeong Saining Xie Jinwoo Shin Kimin Lee DiffM AAML 25 2 0 08 Oct 2024
Latent Feature and Attention Dual Erasure Attack against Multi-View Diffusion Models for 3D Assets Protection Jingwei Sun Xuchong Zhang Changfeng Sun Qicheng Bai Hongbin Sun AAML DiffM 32 0 0 21 Aug 2024
Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey V. T. Truong Luan Ba Dang Long Bao Le DiffM MedIm 38 16 0 06 Aug 2024
Pixel is a Barrier: Diffusion Models Are More Adversarially Robust Than We Think Haotian Xue Yongxin Chen DiffM AAML 39 3 0 20 Apr 2024
IMMA: Immunizing text-to-image Models against Malicious Adaptation Yijia Zheng Raymond A. Yeh 27 8 0 30 Nov 2023
Toward effective protection against diffusion based mimicry through score distillation Haotian Xue Chumeng Liang Xiaoyu Wu Yongxin Chen DiffM AAML 35 32 0 02 Oct 2023