Effective and Efficient Vote Attack on Capsule Networks

19 February 2021

Jindong Gu

Papers citing "Effective and Efficient Vote Attack on Capsule Networks"

23 / 23 papers shown

Title
Interpretable Graph Capsule Networks for Object Recognition Jindong Gu Volker Tresp FAtt 34 36 0 03 Dec 2020
Toward Adversarial Robustness via Semi-supervised Robust Training Yiming Li Baoyuan Wu Yan Feng Yanbo Fan Yong Jiang Zhifeng Li Shutao Xia AAML 101 13 0 16 Mar 2020
Capsules with Inverted Dot-Product Attention Routing Yao-Hung Hubert Tsai Nitish Srivastava Hanlin Goh Ruslan Salakhutdinov 48 81 0 12 Feb 2020
When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks Minghao Guo Yuzhe Yang Rui Xu Ziwei Liu Dahua Lin AAML OOD 64 158 0 25 Nov 2019
Improving the Robustness of Capsule Networks to Image Affine Transformations Jindong Gu Volker Tresp 3DPC 25 50 0 18 Nov 2019
Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions Yao Qin Nicholas Frosst S. Sabour Colin Raffel G. Cottrell Geoffrey E. Hinton GAN AAML 48 71 0 05 Jul 2019
On the Vulnerability of Capsule Networks to Adversarial Attacks Félix D. P. Michels Tobias Uelwer Eric Upschulte Stefan Harmeling AAML 50 24 0 09 Jun 2019
Capsule Routing via Variational Bayes Fabio De Sousa Ribeiro Georgios Leontidis Stefanos D. Kollias 65 83 0 27 May 2019
DeepCaps: Going Deeper with Capsule Networks Jathushan Rajasegaran Vinoj Jayasundara S. Jayasekara Hirunima Jayasekara Suranga Seneviratne Ranga Rodrigo 3DPC 55 193 0 21 Apr 2019
Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models D. Su Huan Zhang Hongge Chen Jinfeng Yi Pin-Yu Chen Yupeng Gao VLM 112 390 0 05 Aug 2018
CapProNet: Deep Feature Learning via Orthogonal Projections onto Capsule Subspaces Liheng Zhang Marzieh Edraki Guo-Jun Qi 41 61 0 19 May 2018
Sparse Unsupervised Capsules Generalize Better D. Rawlinson Abdelrahman Ahmed Gideon Kowadlo 55 49 0 17 Apr 2018
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples Anish Athalye Nicholas Carlini D. Wagner AAML 199 3,180 0 01 Feb 2018
Dynamic Routing Between Capsules S. Sabour Nicholas Frosst Geoffrey E. Hinton 161 4,589 0 26 Oct 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 281 12,029 0 19 Jun 2017
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods Nicholas Carlini D. Wagner AAML 118 1,857 0 20 May 2017
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks Weilin Xu David Evans Yanjun Qi AAML 72 1,260 0 04 Apr 2017
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 241 8,548 0 16 Aug 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 517 5,893 0 08 Jul 2016
DeepFool: a simple and accurate method to fool deep neural networks Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi P. Frossard AAML 138 4,886 0 14 Nov 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 245 19,017 0 20 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.5K 100,213 0 04 Sep 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 251 14,912 1 21 Dec 2013