Fetching the paper…
Reading the bibliography…
Recent work has shown that deep neural networks are highly sensitive to tiny perturbations of input images, giving rise to adversarial examples.
The jpeg still picture compression standard
Wallace, G.K.: · 1992
Earlier work this paper cites.
A digital watermark
Van Schyndel, R.G., Tirkel, A.Z., Osborne, C.F.: · 1994
Earlier work this paper cites.
A watermark for digital images
Wolfgang, R.B., Delp, E.J.: · 1996
Earlier work this paper cites.
Secure spread spectrum watermarking for multimedia
Cox, I.J., Kilian, J., Leighton, F.T., Shamoon, T.: · 1997
Earlier work this paper cites.
Robust template matching for affine resistant image watermarks
Pereira, S., Pun, T.: · 2000
Earlier work this paper cites.
Hiding digital watermarks using multiresolution wavelet transform
Hsieh, M.S., Tseng, D.C., Huang, Y.H.: · 2001
Earlier work this paper cites.
Rst-invariant digital image watermarking based on log-polar mapping and phase correlation
Zheng, D., Zhao, J., El Saddik, A.: · 2003
Earlier work this paper cites.
A survey of digital image watermarking techniques
Potdar, V., Han, S., Chang, E.: · 2005
Earlier work this paper cites.
Robust image watermarking based on multiband wavelets and empirical mode decomposition
Bi, N., Sun, Q., Huang, D., Yang, Z., Huang, J.: · 2007
Earlier work this paper cites.
Applications of a neural network to estimate watermark embedding strength
Jin, C., Wang, S.: · 2007
Earlier work this paper cites.
In: Using High-Dimensional Image Models to Perform Highly Undetectable Steganography. Springer Berlin Heidelberg, Berlin, Heidelberg (2010) 161–177
Pevný, T., Filler, T., Bas, P · 2010
Earlier work this paper cites.
A review on detection of LSB matching steganography
Qin, J., Xiang, X., Wang, M.X.: · 2010
Cited alongside, same era.
A study on digital image and video watermarking schemes using neural networks
Isac, B., Santhi, V.: · 2011
Cited alongside, same era.
” break our steganographic system”: The ins and outs of organizing BOSS
Bas, P., Filler, T., Pevnỳ, T.: · 2011
Cited alongside, same era.
Designing steganographic distortion using directional filters
Holub, V., Fridrich, J.: · 2012
Cited alongside, same era.
Software for low density parity check codes
Neal, R.M.: · 2012
Cited alongside, same era.
Intriguing properties of neural networks
Szegedy, C., Zaremba, W., Sutskever, I., Bruna, J., Erhan, D., Goodfellow, I., Fergus, R.: · 2014
Cited alongside, same era.
Learning to protect communications with adversarial neural cryptography
Abadi, M., Andersen, D.G.: · 2016
Later among the works it cites.
Unsupervised steganalysis based on artificial training sets
Lerch-Hostalot, D., Megías, D.: · 2016
Later among the works it cites.
Adversarial examples in the physical world
Kurakin, A., Goodfellow, I., Bengio, S.: · 2017
Later among the works it cites.
Practical black-box attacks against machine learning
Papernot, N., McDaniel, P., Goodfellow, I., Jha, S., Celik, Z.B., Swami, A.: · 2017
Later among the works it cites.
Exploring the learning capabilities of convolutional neural networks for robust image watermarking
Kandi, H., Mishra, D., Gorthi, S.R.S.: · 2017
Later among the works it cites.
A robust blind watermarking using convolutional neural network
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Universal distortion function for steganography in an arbitrary domain
Holub, V., Fridrich, J., Denemark, T.: · 2014
Cited alongside, same era.
Generative adversarial nets
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y.: · 2014
Cited alongside, same era.
Microsoft COCO: Common objects in context
Lin, T.Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., Zitnick, C.L.: · 2014
Cited alongside, same era.
Explaining and harnessing adversarial examples
Goodfellow, I.J., Shlens, J., Szegedy, C.: · 2015
Cited alongside, same era.
Adam: A method for stochastic optimization
Kingma, D., Ba, J.: · 2015
Cited alongside, same era.
Digimarc
Digimarc:
Cited in the paper.
Mun, S.M., Nam, S.H., Jang, H.U., Kim, D., Lee, H.K.: · 2017
Later among the works it cites.
Generating steganographic images via adversarial training
Hayes, J., Danezis, G.: · 2017
Later among the works it cites.
Hiding images in plain sight: Deep steganography
Baluja, S.: · 2017
Later among the works it cites.
Embedding watermarks into deep neural networks
Uchida, Y., Nagai, Y., Sakazawa, S., Satoh, S.: · 2017
Later among the works it cites.
Generating steganographic text with LSTMs
Fang, T., Jaggi, M., Argyraki, K.: · 2017
Later among the works it cites.