Real-world adversarial attack on MTCNN face detection system

P. Viola and M. J. Jones, “Robust real-time face detection,” International Journal of Computer Vision , vol. 57, no. 2, pp. 137–154, May 2004

2004

Earlier work this paper cites.

L. Bourdev and J. Brandt, “Robust object detection via soft cascade,” in 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05) , vol. 2, June 2005, pp. 236–243 vol. 2

2005

Earlier work this paper cites.

S. C. Brubaker, J. Wu, J. Sun, M. D. Mullin, and J. M. Rehg, “On the design of cascades of boosted ensembles for face detection,” International Journal of Computer Vision , vol. 77, no. 1, pp. 65–86, May 2008

2008

Earlier work this paper cites.

R. B. Girshick, J. Donahue, T. Darrell, and J. Malik, “Rich feature hierarchies for accurate object detection and semantic segmentation,” 2014 IEEE Conference on Computer Vision and Pattern Recognition , pp. 580–587, 2013

2013

Earlier work this paper cites.

B. Biggio, I. Corona, D. Maiorca, B. Nelson, N. Šrndić, P. Laskov, G. Giacinto, and F. Roli, “Evasion attacks against machine learning at test time,” in Proceedings of the 2013th European Conference on Machine Learning and Knowledge Discovery in Databases - Volume Part III , ser. ECMLPKDD’13. Berlin, Heidelberg: Springer-Verlag, 2013, pp. 387–402

2013

Earlier work this paper cites.

C. Szegedy, W. Zaremba, I. Sutskever, J. Bruna, D. Erhan, I. J. Goodfellow, and R. Fergus, “Intriguing properties of neural networks,” CoRR , vol. abs/1312.6199, 2013

Original

2013

Earlier work this paper cites.

I. J. Goodfellow, J. Shlens, and C. Szegedy, “Explaining and harnessing adversarial examples,” CoRR , vol. abs/1412.6572, 2014

Original

2014

Earlier work this paper cites.

S. Yang, P. Luo, C. C. Loy, and X. Tang, “From facial parts responses to face detection: A deep learning approach,” IEEE International Conference on Computer Vision , pp. 3676–3684, 2015

2015

Earlier work this paper cites.

F. Schroff, D. Kalenichenko, and J. Philbin, “Facenet: A unified embedding for face recognition and clustering,” 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , pp. 815–823, 2015

2015

Earlier work this paper cites.

K. Zhang, Z. Zhang, Z. Li, and Y. Qiao, “Joint face detection and alignment using multitask cascaded convolutional networks,” IEEE Signal Processing Letters , vol. 23, no. 10, pp. 1499–1503, Oct 2016

2016

Cited alongside, same era.

S. Liao, A. K. Jain, and S. Z. Li, “A fast and accurate unconstrained face detector,” IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. 38, pp. 211–223, 2016

2016

Cited alongside, same era.

T.-Y. Lin, P. Dollár, R. B. Girshick, K. He, B. Hariharan, and S. J. Belongie, “Feature pyramid networks for object detection,” 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , pp. 936–944, 2016

2016

Cited alongside, same era.

W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C.-Y. Fu, and A. C. Berg, “Ssd: Single shot multibox detector,” in Computer Vision – ECCV 2016 , B. Leibe, J. Matas, N. Sebe, and M. Welling, Eds. Cham: Springer International Publishing, 2016, pp. 21–37

2016

Cited alongside, same era.

Y. Dong, F. Liao, T. Pang, H. Su, J. Zhu, X. Hu, and J. Li, “Boosting adversarial attacks with momentum,” 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition , pp. 9185–9193, 2017

2017

Later among the works it cites.

N. Papernot, P. McDaniel, I. Goodfellow, S. Jha, Z. B. Celik, and A. Swami, “Practical black-box attacks against machine learning,” in Proceedings of the 2017 ACM on Asia Conference on Computer and Communications Security , ser. ASIA CCS ’17. New York, NY, USA: ACM, 2017, pp. 506–519

2017

Later among the works it cites.

A. Athalye, N. Carlini, and D. Wagner, “Obfuscated gradients give a false sense of security: Circumventing defenses to adversarial examples,” Proceedings of the 35th International Conference on Machine Learning , pp. 274–283, 2018

2018

Later among the works it cites.

J. Deng, J. Guo, and S. P. Zafeiriou, “Arcface: Additive angular margin loss for deep face recognition,” ArXiv , vol. abs/1801.07698, 2018

Original

2018