Evaluating the Robustness of Text-to-image Diffusion Models against
Real-world Attacks

Evaluating the Robustness of Text-to-image Diffusion Models against Real-world Attacks

16 June 2023

Hongcheng Gao

Yinpeng Dong

Papers citing "Evaluating the Robustness of Text-to-image Diffusion Models against Real-world Attacks"

7 / 7 papers shown

Title
Perception-guided Jailbreak against Text-to-Image Models Yihao Huang Le Liang Tianlin Li Xiaojun Jia Run Wang Weikai Miao G. Pu Yang Liu 35 6 0 20 Aug 2024
Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey V. T. Truong Luan Ba Dang Long Bao Le DiffM MedIm 38 14 0 06 Aug 2024
Pretraining is All You Need for Image-to-Image Translation Tengfei Wang Ting Zhang Bo Zhang Hao Ouyang Dong Chen Qifeng Chen Fang Wen DiffM 176 177 0 25 May 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong S. Hoi MLLM BDL VLM CLIP 385 4,010 0 28 Jan 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero F. I. F. Richard Yu Radu Timofte Luc Van Gool DiffM 203 1,330 0 24 Jan 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,735 0 24 Feb 2021