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Although deep neural networks (DNNs) are known to be fragile, no one has studied the effects of zooming-in and zooming-out of images in the physical world on DNNs performance.
ImageNet: A large-scale hierarchical image database
Deng, J.; Dong, W.; Socher, R.; Li, L.; Li, K.; and Fei-Fei, L. 2009 · 2009
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ImageNet Classification with Deep Convolutional Neural Networks
Krizhevsky, A.; Sutskever, I.; and Hinton, G. E. 2012 · 2012
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Intriguing properties of neural networks
Szegedy, C.; Zaremba, W.; Sutskever, I.; Bruna, J.; Erhan, D.; Goodfellow, I. J.; and Fergus, R. 2014 · 2014
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Explaining and Harnessing Adversarial Examples
Goodfellow, I. J.; Shlens, J.; and Szegedy, C. 2015 · 2015
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Very Deep Convolutional Networks for Large-Scale Image Recognition
Simonyan, K.; and Zisserman, A. 2015 · 2015
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Going deeper with convolutions
Szegedy, C.; Liu, W.; Jia, Y.; Sermanet, P.; Reed, S. E.; Anguelov, D.; Erhan, D.; Vanhoucke, V.; and Rabinovich, A. 2015 · 2015
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Deep Residual Learning for Image Recognition
He, K.; Zhang, X.; Ren, S.; and Sun, J. 2016 · 2016
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DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks
Moosavi-Dezfooli, S.; Fawzi, A.; and Frossard, P. 2016 · 2016
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Accessorize to a Crime: Real and Stealthy Attacks on State-of-the-Art Face Recognition
Sharif, M.; Bhagavatula, S.; Bauer, L.; and Reiter, M. K. 2016 · 2016
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Learning Deep Features for Discriminative Localization
Zhou, B.; Khosla, A.; Lapedriza, À.; Oliva, A.; and Torralba, A. 2016 · 2016
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Brown, T. B.; Mané, D.; Roy, A.; Abadi, M.; and Gilmer, J. 2017 · 2017
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Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods
Carlini, N.; and Wagner, D. A. 2017a · 2017
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Towards Evaluating the Robustness of Neural Networks
Carlini, N.; and Wagner, D. A. 2017b · 2017
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Densely Connected Convolutional Networks
Huang, G.; Liu, Z.; van der Maaten, L.; and Weinberger, K. Q. 2017 · 2017
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Adversarial examples in the physical world
Kurakin, A.; Goodfellow, I. J.; and Bengio, S. 2017 · 2017
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Universal Adversarial Perturbations
Moosavi-Dezfooli, S.; Fawzi, A.; Fawzi, O.; and Frossard, P. 2017 · 2017
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Synthesizing Robust Adversarial Examples
Athalye, A.; Engstrom, L.; Ilyas, A.; and Kwok, K. 2018 · 2018
Cited alongside, same era.
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples
Chen, P.; Sharma, Y.; Zhang, H.; Yi, J.; and Hsieh, C. 2018a · 2018
Cited alongside, same era.
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector
Chen, S.; Cornelius, C.; Martin, J.; and Chau, D. H. P. 2018b · 2018
Cited alongside, same era.
Boosting Adversarial Attacks With Momentum
Dong, Y.; Liao, F.; Pang, T.; Su, H.; Zhu, J.; Hu, X.; and Li, J. 2018 · 2018
Cited alongside, same era.
Robust Physical-World Attacks on Deep Learning Visual Classification
Eykholt, K.; Evtimov, I.; Fernandes, E.; Li, B.; Rahmati, A.; Xiao, C.; Prakash, A.; Kohno, T.; and Song, D. 2018 · 2018
Cited alongside, same era.
Semantic Adversarial Examples
Hosseini, H.; and Poovendran, R. 2018 · 2018
Physical Adversarial Textures That Fool Visual Object Tracking
Wiyatno, R.; and Xu, A. 2019 · 2019
Later among the works it cites.
Improving Transferability of Adversarial Examples With Input Diversity
Xie, C.; Zhang, Z.; Zhou, Y.; Bai, S.; Wang, J.; Ren, Z.; and Yuille, A. L. 2019 · 2019
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Adversarial Attacks Beyond the Image Space
Zeng, X.; Liu, C.; Wang, Y.; Qiu, W.; Xie, L.; Tai, Y.; Tang, C.; and Yuille, A. L. 2019 · 2019
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CAMOU: Learning Physical Vehicle Camouflages to Adversarially Attack Detectors in the Wild
Zhang, Y.; Foroosh, H.; David, P.; and Gong, B. 2019 · 2019
Later among the works it cites.
Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles
Duan, R.; Ma, X.; Wang, Y.; Bailey, J.; Qin, A. K.; and Yang, Y. 2020 · 2020
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Adversarial Light Projection Attacks on Face Recognition Systems: A Feasibility Study
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Cited alongside, same era.
Towards Deep Learning Models Resistant to Adversarial Attacks
Madry, A.; Makelov, A.; Schmidt, L.; Tsipras, D.; and Vladu, A. 2018 · 2018
Cited alongside, same era.
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Sandler, M.; Howard, A. G.; Zhu, M.; Zhmoginov, A.; and Chen, L. 2018 · 2018
Cited alongside, same era.
Physical Adversarial Examples for Object Detectors
Song, D.; Eykholt, K.; Evtimov, I.; Fernandes, E.; Li, B.; Rahmati, A.; Tramèr, F.; Prakash, A.; and Kohno, T. 2018 · 2018
Cited alongside, same era.
Maximal Jacobian-based Saliency Map Attack
Wiyatno, R.; and Xu, A. 2018 · 2018
Cited alongside, same era.
Invisible Mask: Practical Attacks on Face Recognition with Infrared
Zhou, Z.; Tang, D.; Wang, X.; Han, W.; Liu, X.; and Zhang, K. 2018 · 2018
Cited alongside, same era.
Adversarial camera stickers: A physical camera-based attack on deep learning systems
Li, J.; Schmidt, F. R.; and Kolter, J. Z. 2019 · 2019
Cited alongside, same era.
Nguyen, D.; Arora, S. S.; Wu, Y.; and Yang, H. 2020 · 2020
Later among the works it cites.
ColorFool: Semantic Adversarial Colorization
Shamsabadi, A. S.; Sánchez-Matilla, R.; and Cavallaro, A. 2020 · 2020
Later among the works it cites.
Adversarial T-Shirt! Evading Person Detectors in a Physical World
Xu, K.; Zhang, G.; Liu, S.; Fan, Q.; Sun, M.; Chen, H.; Chen, P.; Wang, Y.; and Lin, X. 2020 · 2020
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Towards Large Yet Imperceptible Adversarial Image Perturbations With Perceptual Color Distance
Zhao, Z.; Liu, Z.; and Larson, M. A. 2020 · 2020
Later among the works it cites.
Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink
Duan, R.; Mao, X.; Qin, A. K.; Chen, Y.; Ye, S.; He, Y.; and Yang, Y. 2021 · 2021
Later among the works it cites.
Optical Adversarial Attack
Gnanasambandam, A.; Sherman, A. M.; and Chan, S. H. 2021 · 2021
Later among the works it cites.
An improved ShapeShifter method of generating adversarial examples for physical attacks on stop signs against Faster R-CNNs
Huang, S.; Liu, X.; Yang, X.; and Zhang, Z. 2021 · 2021
Later among the works it cites.
Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World
Wang, J.; Liu, A.; Yin, Z.; Liu, S.; Tang, S.; and Liu, X. 2021 · 2021
Later among the works it cites.
FCA: Learning a 3D Full-Coverage Vehicle Camouflage for Multi-View Physical Adversarial Attack
Wang, D.; Jiang, T.; Sun, J.; Zhou, W.; Gong, Z.; Zhang, X.; Yao, W.; and Chen, X. 2022 · 2022
Closest in time.
Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon
Zhong, Y.; Liu, X.; Zhai, D.; Jiang, J.; and Ji, X. 2022 · 2022
Closest in time.