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DNN watermarking is receiving an increasing attention as a suitable mean to protect the Intellectual Property Rights associated to DNN models.
Blackmarks: Blackbox multibit watermarking for deep neural networks
Chen, H., Rouhani, B.D., Koushanfar, F., 2019b · 1904
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Writing on dirty paper
Costa, M., 1983 · 1983
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Copyright protection of digital images by embedded unperceivable marks
Barni, M., Bartolini, F., Cappellini, V., A.Piva, 1998 · 1998
Earlier work this paper cites.
Digital watermarking and information embedding using dither modulation, in: IEEE Second Workshop on Multimedia Signal Processing
Chen, B., Wornell, G., 1998 · 1998
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Copy protection for dvd video
Bloom, J.A., Cox, I.J., Kalker, T., Linnartz, J., Miller, M.L., Traw, C.B.S., 1999 · 1999
Earlier work this paper cites.
Watermarking as communications with side information
Cox, I.J., Miller, M.L., McKellips, A.L., 1999 · 1999
Earlier work this paper cites.
Quantization index modulation: A class of provably good methods for digital watermarking and information embedding
Chen, B., Wornell, G., 2001 · 2001
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Dynamic traitor tracing
Fiat, A., Tassa, T., 2001 · 2001
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Digital watermarking: algorithms and applications
Podilchuk, C.I., Delp, E.J., 2001 · 2001
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Digital Watermarking. volume 53
Cox, I.J., Miller, M.L., Bloom, J.A., Honsinger, C., 2002 · 2002
Earlier work this paper cites.
Scalar costa scheme for information embedding
Eggers, J.J., Bauml, R., Tzschoppe, R., Girod, B., 2003 · 2003
Cited alongside, same era.
Applying informed coding and embedding to design a robust high-capacity watermark
Miller, M.L., Doerr, G.J., Cox, I.J., 2004 · 2003
Cited alongside, same era.
Anti-collusion fingerprinting for multimedia
Trappe, W., Wu, M., Wang, Z.J., Liu, K.R., 2003 · 2003
Cited alongside, same era.
Watermarking systems engineering: enabling digital assets security and other applications
Barni, M., Bartolini, F., 2004 · 2004
Cited alongside, same era.
Imagenet: A large-scale hierarchical image database, in: Proceedings of the IEEE conference on Computer Vision and Pattern Recognition, pp. 248–255
Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L., 2009 · 2009
Cited alongside, same era.
Learning multiple layers of features from tiny images
Wide residual networks, in: Procedings of the British Machine Vision Conference 2016
Zagoruyko, S., Komodakis, N., 2016 · 2016
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Embedding watermark into deep neural networks, in: Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, pp. 269–277
Uchida, Y., Nagai, Y., Sakazawa, S., Satoh, S., 2017 · 2017
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Turning your weakness into a strength: Watermarking deep neural networks by backdooring, in: 27th USENIX Security Symposium (USENIX Security 18), pp. 1615–1631
Adi, Y., Baum, C., Cisse, M., Pinkas, B., Keshet, J., 2018 · 2018
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Trojaning attack on neural networks, in: 2018 The Network and Distributed System Security Symposium
Liu, Y., Ma, S., Aafer, Y., Lee, W.C., Zhai, J., Wang, W., Zhang, X., 2018 · 2018
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Digital watermarking for deep neural networks
Nagai, Y., Uchida, Y., Sakazawa, S., Satoh, S., 2018 · 2018
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Krizhevsky, A., Hinton, G., et al., 2009 · 2009
Cited alongside, same era.
Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition
Stallkamp, J., Schlipsing, M., Salmen, J., Igel, C., 2012 · 2012
Cited alongside, same era.
Very deep convolutional networks for large-scale image recognition, in: Proceedings of the International Conference on Learning Representations(ICLR)
Simonyan, K., Zisserman, A., 2015 · 2015
Cited alongside, same era.
Deep residual learning for image recognition, in: Proceedings of the IEEE conference on Computer Vision and Pattern Recognition, pp. 770–778
He, K., Zhang, X., Ren, S., Sun, J., 2016 · 2016
Cited alongside, same era.
Protecting intellectual property of deep neural networks with watermarking, in: Proceedings of the 2018 on Asia Conference on Computer and Communications Security, pp. 159–172
Zhang, J., Gu, Z., Jang, J., Wu, H., Stoecklin, M.P., Huang, H., Molloy, I., 2018 · 2018
Later among the works it cites.
Deepmarks: A secure fingerprinting framework for digital rights management of deep learning models, in: Proceedings of the 2019 on International Conference on Multimedia Retrieval, pp. 105–113
Chen, H., Rouhani, B.D., Fu, C., Zhao, J., Koushanfar, F., 2019a · 2019
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Deepsigns: An end-to-end watermarking framework for ownership protection of deep neural networks, in: Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, pp. 485–497
Darvish Rouhani, B., Chen, H., Koushanfar, F., 2019 · 2019
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Adversarial frontier stitching for remote neural network watermarking
Le Merrer, E., Perez, P., Trédan, G., 2019 · 2019
Later among the works it cites.