Unifying Adversarial Training Algorithms with Flexible Deep Data
Gradient Regularization

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Unifying Adversarial Training Algorithms with Flexible Deep Data Gradient Regularization

26 January 2016

Alexander Ororbia

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Papers citing "Unifying Adversarial Training Algorithms with Flexible Deep Data Gradient Regularization"

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Title
A trans-disciplinary review of deep learning research for water resources scientists Chaopeng Shen AI4CE 194 690 0 06 Dec 2017
A Unified Gradient Regularization Family for Adversarial Examples Chunchuan Lyu Kaizhu Huang Hai-Ning Liang AAML 68 209 0 19 Nov 2015
Learning with a Strong Adversary Ruitong Huang Bing Xu Dale Schuurmans Csaba Szepesvári AAML 82 358 0 10 Nov 2015
Improving Back-Propagation by Adding an Adversarial Gradient Arild Nøkland AAML 59 32 0 14 Oct 2015
Distributional Smoothing with Virtual Adversarial Training Takeru Miyato S. Maeda Masanori Koyama Ken Nakae S. Ishii 91 458 0 02 Jul 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 338 18,651 0 06 Feb 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,121 0 20 Dec 2014
Towards Deep Neural Network Architectures Robust to Adversarial Examples S. Gu Luca Rigazio AAML 76 844 0 11 Dec 2014
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images Anh Totti Nguyen J. Yosinski Jeff Clune AAML 171 3,274 0 05 Dec 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 282 14,963 1 21 Dec 2013