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Intriguing Properties of Diffusion Models: An Empirical Study of the
  Natural Attack Capability in Text-to-Image Generative Models

Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models

30 August 2023
Takami Sato
Justin Yue
Nanze Chen
Ningfei Wang
Qi Alfred Chen
    DiffM
ArXivPDFHTML

Papers citing "Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models"

4 / 4 papers shown
Title
Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios
Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios
Jingzheng Li
X. Liu
Shikui Wei
Zhijun Chen
Yangqiu Song
Qing-Wu Guo
Xianqi Yang
Yanjun Pu
Jiakai Wang
AAML
ELM
74
0
0
31 Mar 2025
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack
Minhao Cheng
Simranjit Singh
Patrick H. Chen
Pin-Yu Chen
Sijia Liu
Cho-Jui Hsieh
AAML
124
219
0
24 Sep 2019
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,220
0
16 Nov 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
309
36,371
0
25 Aug 2016
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