Threat of Adversarial Attacks on Deep Learning in Computer Vision: A
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Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey

2 January 2018

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Papers citing "Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey"

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Title
The Effects of JPEG and JPEG2000 Compression on Attacks using Adversarial Examples Ayse Elvan Aydemir A. Temi̇zel T. Taşkaya-Temizel AAML 63 32 0 28 Mar 2018
Understanding Measures of Uncertainty for Adversarial Example Detection Lewis Smith Y. Gal UQCV 103 365 0 22 Mar 2018
Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples Zihao Liu Qi Liu Tao Liu Nuo Xu Xue Lin Yanzhi Wang Wujie Wen AAML MQ 92 265 0 14 Mar 2018
L2-Nonexpansive Neural Networks Haifeng Qian M. Wegman 86 74 0 22 Feb 2018
Security and Privacy Approaches in Mixed Reality: A Literature Survey Jaybie A. de Guzman Kanchana Thilakarathna Aruna Seneviratne 79 135 0 15 Feb 2018
Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks Yusuke Tsuzuku Issei Sato Masashi Sugiyama AAML 137 309 0 12 Feb 2018
High Dimensional Spaces, Deep Learning and Adversarial Examples S. Dube 130 29 0 02 Jan 2018
A trans-disciplinary review of deep learning research for water resources scientists Chaopeng Shen AI4CE 232 702 0 06 Dec 2017
Defense against Universal Adversarial Perturbations Naveed Akhtar Jian Liu Ajmal Mian AAML 105 208 0 16 Nov 2017
Deep Packet: A Novel Approach For Encrypted Traffic Classification Using Deep Learning M. Lotfollahi Ramin Shirali Hossein Zade Mahdi Jafari Siavoshani Mohammdsadegh Saberian 97 838 0 08 Sep 2017
Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk Paul Hand V. Voroninski UQCV 189 138 0 22 May 2017
Neural Style Transfer: A Review Yongcheng Jing Yezhou Yang Zunlei Feng Jingwen Ye Yizhou Yu Xiuming Zhang 156 742 0 11 May 2017