Contextual Fusion For Adversarial Robustness

18 November 2020

Papers citing "Contextual Fusion For Adversarial Robustness"

21 / 21 papers shown

Title
Fast is better than free: Revisiting adversarial training Eric Wong Leslie Rice J. Zico Kolter AAML OOD 134 1,175 0 12 Jan 2020
Adversarial Examples Are a Natural Consequence of Test Error in Noise Nic Ford Justin Gilmer Nicholas Carlini E. D. Cubuk AAML 73 319 0 29 Jan 2019
Generalisation in humans and deep neural networks Robert Geirhos Carlos R. Medina Temme Jonas Rauber Heiko H. Schutt Matthias Bethge Felix Wichmann OOD 107 606 0 27 Aug 2018
Deep Defense: Training DNNs with Improved Adversarial Robustness Ziang Yan Yiwen Guo Changshui Zhang AAML 61 110 0 23 Feb 2018
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks J. Uesato Brendan O'Donoghue Aaron van den Oord Pushmeet Kohli AAML 145 601 0 15 Feb 2018
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples Anish Athalye Nicholas Carlini D. Wagner AAML 180 3,180 0 01 Feb 2018
Scene recognition with CNNs: objects, scales and dataset bias Luis Herranz Shuqiang Jiang Xiangyang Li 54 214 0 21 Jan 2018
Adversarial Examples: Attacks and Defenses for Deep Learning Xiaoyong Yuan Pan He Qile Zhu Xiaolin Li SILM AAML 72 1,617 0 19 Dec 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 255 12,029 0 19 Jun 2017
Multimodal Machine Learning: A Survey and Taxonomy T. Baltrušaitis Chaitanya Ahuja Louis-Philippe Morency 74 2,917 0 26 May 2017
Ensemble Adversarial Training: Attacks and Defenses Florian Tramèr Alexey Kurakin Nicolas Papernot Ian Goodfellow Dan Boneh Patrick McDaniel AAML 177 2,720 0 19 May 2017
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 458 3,137 0 04 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 517 5,885 0 08 Jul 2016
Understanding How Image Quality Affects Deep Neural Networks Samuel F. Dodge Lina Karam VLM 65 728 0 14 Apr 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.7K 193,390 0 10 Dec 2015
Harvesting Discriminative Meta Objects with Deep CNN Features for Scene Classification Ruobing Wu Baoyuan Wang Wenping Wang Yizhou Yu 43 124 0 06 Oct 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 222 19,011 0 20 Dec 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 383 43,589 0 17 Sep 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 353 43,506 0 01 May 2014
Multi-scale Orderless Pooling of Deep Convolutional Activation Features Yunchao Gong Liwei Wang Ruiqi Guo Svetlana Lazebnik 174 1,089 0 07 Mar 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 227 14,893 1 21 Dec 2013