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In this paper, we tackle the challenge of white-box false positive adversarial attacks on contrastive loss based offline handwritten signature verification models.
Enhancing the transferability of adversarial attacks through variance tuning
Wang, X. and He, K. (2021) · 1933
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Intriguing properties of neural networks
Szegedy, C., Zaremba, W., Sutskever, I., Bruna, J., Erhan, D., Goodfellow, I., and Fergus, R. (2014) · 2014
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A neural algorithm of artistic style
Gatys, L. A., Ecker, A. S., and Bethge, M. (2015) · 2015
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Explaining and harnessing adversarial examples
Goodfellow, I. J., Shlens, J., and Szegedy, C. (2015) · 2015
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Adam: A method for stochastic optimization
Kingma, D. and Ba, J. (2015) · 2015
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Offline signature verification with user-based and global classifiers of local features
Yılmaz, M. B. (2015) · 2015
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Writer-independent feature learning for offline signature verification using deep convolutional neural networks
Hafemann, L. G., Sabourin, R., and Oliveira, L. S. (2016) · 2016
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Perceptual losses for real-time style transfer and super-resolution
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Transferability in machine learning: from phenomena to black-box attacks using adversarial samples
Papernot, N., McDaniel, P., and Goodfellow, I. (2016) · 2016
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Signature embedding: Writer independent offline signature verification with deep metric learning
Rantzsch, H., Yang, H., and Meinel, C. (2016) · 2016
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Two strategies to optimize the decisions in signature verification with the presence of spoofing attacks
Yu, S., Ai, Y., Xu, B., Zhou, Y., Li, W., Liao, Q., and Poh, N. (2016) · 2016
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Carlini, N. and Wagner, D. (2017) · 2017
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Zhu, J.-Y., Park, T., Isola, P., and Efros, A. A. (2017) · 2017
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Threat of adversarial attacks on deep learning in computer vision: A survey
Akhtar, N. and Mian, A. (2018) · 2018
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Black-box attack against handwritten signature verification with region-restricted adversarial perturbations
Li, H., Li, H., Zhang, H., and Yuan, W. (2021) · 2021
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Zhang, Y., Yasaei, R., Chen, H., Li, Z., and Al Faruque, M. A. (2021) · 2021
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Kurakin, A., Goodfellow, I. J., and Bengio, S. (2018) · 2018
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Madry, A., Makelov, A., Schmidt, L., Tsipras, D., and Vladu, A. (2018) · 2018
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Characterizing and evaluating adversarial examples for offline handwritten signature verification
Hafemann, L. G., Sabourin, R., and Oliveira, L. S. (2019) · 2019
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Wei, J., Zhang, Y., Zhou, Z., Li, Z., and Al Faruque, M. A. (2020) · 2020
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Mutual adversarial training: Learning together is better than going alone
Liu, J., Lau, C. P., Souri, H., Feizi, S., and Chellappa, R. (2022a)
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Liu, J., Levine, A., Lau, C. P., Chellappa, R., and Feizi, S. (2022b)
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Interpolated joint space adversarial training for robust and generalizable defenses
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