Leveraging Local Patch Differences in Multi-Object Scenes for Generative Adversarial Attacks

20 September 2022

Papers citing "Leveraging Local Patch Differences in Multi-Object Scenes for Generative Adversarial Attacks"

9 / 9 papers shown

Title
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks Hunmin Yang Jongoh Jeong Kuk-Jin Yoon AAML VLM 60 4 0 30 Jul 2024
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 64 64 0 27 Jan 2022
Contrastive Feature Loss for Image Prediction A. Andonian Taesung Park Bryan C. Russell Phillip Isola Jun-Yan Zhu Richard Y. Zhang GAN SSL 33 19 0 12 Nov 2021
Adversarial Attacks on Black Box Video Classifiers: Leveraging the Power of Geometric Transformations Shasha Li Abhishek Aich Shitong Zhu M. Salman Asif Chengyu Song A. Roy-Chowdhury S. Krishnamurthy AAML 119 37 0 05 Oct 2021
Non-Adversarial Video Synthesis with Learned Priors Abhishek Aich Akash Gupta Rameswar Panda Rakib Hyder M. Salman Asif A. Roy-Chowdhury VGen GAN 87 18 0 21 Mar 2020
Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles Ranjie Duan Xingjun Ma Yisen Wang James Bailey •. A. K. Qin Yun Yang AAML 164 224 0 08 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 279 10,348 0 12 Dec 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,109 0 04 Nov 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 252 36,362 0 25 Aug 2016