Empirical Evaluation on Robustness of Deep Convolutional Neural Networks Activation Functions Against Adversarial Perturbation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageUndefined/Unknown
Title of host publication2018 Sixth International Symposium on Computing and Networking Workshops (CANDARW)
Pages223-227
Number of pages5
Publication statusPublished - 2018

Cite this

Su, J., Vargas, D. V., & Sakurai, K. (2018). Empirical Evaluation on Robustness of Deep Convolutional Neural Networks Activation Functions Against Adversarial Perturbation. In 2018 Sixth International Symposium on Computing and Networking Workshops (CANDARW) (pp. 223-227)

Empirical Evaluation on Robustness of Deep Convolutional Neural Networks Activation Functions Against Adversarial Perturbation. / Su, Jiawei; Vargas, Danilo Vasconcellos; Sakurai, Kouichi.

2018 Sixth International Symposium on Computing and Networking Workshops (CANDARW). 2018. p. 223-227.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Su, J, Vargas, DV & Sakurai, K 2018, Empirical Evaluation on Robustness of Deep Convolutional Neural Networks Activation Functions Against Adversarial Perturbation. in 2018 Sixth International Symposium on Computing and Networking Workshops (CANDARW). pp. 223-227.
Su J, Vargas DV, Sakurai K. Empirical Evaluation on Robustness of Deep Convolutional Neural Networks Activation Functions Against Adversarial Perturbation. In 2018 Sixth International Symposium on Computing and Networking Workshops (CANDARW). 2018. p. 223-227
Su, Jiawei ; Vargas, Danilo Vasconcellos ; Sakurai, Kouichi. / Empirical Evaluation on Robustness of Deep Convolutional Neural Networks Activation Functions Against Adversarial Perturbation. 2018 Sixth International Symposium on Computing and Networking Workshops (CANDARW). 2018. pp. 223-227
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