Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks

Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks

5 October 2022

Lianli Gao

Jingkuan Song

Papers citing "Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks"

12 / 12 papers shown

Title
AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks Jin Li Ziqiang He Anwei Luo Jian-Fang Hu Zhong Wang Xiangui Kang DiffM 61 0 0 12 Mar 2025
SCA: Highly Efficient Semantic-Consistent Unrestricted Adversarial Attack Zihao Pan Weibin Wu Yuhang Cao Zibin Zheng DiffM AAML 55 1 0 03 Oct 2024
ADBM: Adversarial diffusion bridge model for reliable adversarial purification Xiao-Li Li Wenxuan Sun Huanran Chen Qiongxiu Li Yining Liu Yingzhe He Jie Shi Xiaolin Hu AAML 46 7 0 01 Aug 2024
Alleviating Hallucinations in Large Vision-Language Models through Hallucination-Induced Optimization Beitao Chen Xinyu Lyu Lianli Gao Jingkuan Song Hengtao Shen MLLM 54 10 0 24 May 2024
Latent Code Augmentation Based on Stable Diffusion for Data-free Substitute Attacks Mingwen Shao Lingzhuang Meng Yuanjian Qiao Lixu Zhang W. Zuo DiffM 19 1 0 24 Jul 2023
Practical No-box Adversarial Attacks with Training-free Hybrid Image Transformation Qilong Zhang Chaoning Zhang Chaoning Zhang Chaoqun Li Xuanhan Wang Jingkuan Song Lianli Gao AAML 17 21 0 09 Mar 2022
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains Qilong Zhang Xiaodan Li YueFeng Chen Jingkuan Song Lianli Gao Yuan He Hui Xue AAML 62 62 0 27 Jan 2022
Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles Ranjie Duan Xingjun Ma Yisen Wang James Bailey •. A. K. Qin Yun Yang AAML 151 222 0 08 Mar 2020
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples Xiaojun Jia Xingxing Wei Xiaochun Cao H. Foroosh AAML 50 264 0 30 Nov 2018
Constructing Unrestricted Adversarial Examples with Generative Models Yang Song Rui Shu Nate Kushman Stefano Ermon GAN AAML 174 300 0 21 May 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,471 0 17 Apr 2017
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 247 36,237 0 25 Aug 2016