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"

9 / 9 papers shown

Title
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Yinqi Li Hong Chang Ruibing Hou Shiguang Shan Xilin Chen DiffM 57 0 0 24 Apr 2025
Adversarial Attacks on Parts of Speech: An Empirical Study in Text-to-Image Generation G M Shahariar Jia Chen Jiachen Li Yue Dong 36 0 0 21 Sep 2024
Perception-guided Jailbreak against Text-to-Image Models Yihao Huang Le Liang Tianlin Li Xiaojun Jia Run Wang Weikai Miao G. Pu Yang Liu 41 7 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 56 16 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 189 178 0 25 May 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong Guosheng Lin MLLM BDL VLM CLIP 392 4,154 0 28 Jan 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero Feng Yu Radu Timofte Luc Van Gool DiffM 233 1,355 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 308 7,457 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 255 4,796 0 24 Feb 2021