Improving the robustness of ImageNet classifiers using elements of human visual cognition

20 June 2019

Papers citing "Improving the robustness of ImageNet classifiers using elements of human visual cognition"

22 / 22 papers shown

Title
Interpreting Adversarially Trained Convolutional Neural Networks Tianyuan Zhang Zhanxing Zhu AAML GAN FAtt 69 161 0 23 May 2019
Using Videos to Evaluate Image Model Robustness Keren Gu Brandon Yang Jiquan Ngiam Quoc V. Le Jonathon Shlens AAML 25 44 0 22 Apr 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations Dan Hendrycks Thomas G. Dietterich OOD VLM 81 3,399 0 28 Mar 2019
Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet Wieland Brendel Matthias Bethge SSL FAtt 59 561 0 20 Mar 2019
Defense Against Adversarial Images using Web-Scale Nearest-Neighbor Search Abhimanyu Dubey Laurens van der Maaten Zeki Yalniz Yixuan Li D. Mahajan AAML 80 64 0 05 Mar 2019
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Robert Geirhos Patricia Rubisch Claudio Michaelis Matthias Bethge Felix Wichmann Wieland Brendel 72 2,647 0 29 Nov 2018
Humans can decipher adversarial images Zhenglong Zhou C. Firestone AAML 25 122 0 11 Sep 2018
Generalisation in humans and deep neural networks Robert Geirhos Carlos R. Medina Temme Jonas Rauber Heiko H. Schutt Matthias Bethge Felix Wichmann OOD 72 605 0 27 Aug 2018
A Simple Cache Model for Image Recognition Emin Orhan VLM 92 30 0 21 May 2018
Adversarially Robust Generalization Requires More Data Ludwig Schmidt Shibani Santurkar Dimitris Tsipras Kunal Talwar Aleksander Madry OOD AAML 111 786 0 30 Apr 2018
Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning Nicolas Papernot Patrick McDaniel OOD AAML 65 505 0 13 Mar 2018
Retrieval-Augmented Convolutional Neural Networks for Improved Robustness against Adversarial Examples Jake Zhao Kyunghyun Cho AAML 101 20 0 26 Feb 2018
Adversarial Examples that Fool both Computer Vision and Time-Limited Humans Gamaleldin F. Elsayed Shreya Shankar Brian Cheung Nicolas Papernot Alexey Kurakin Ian Goodfellow Jascha Narain Sohl-Dickstein AAML 61 261 0 22 Feb 2018
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples Anish Athalye Nicholas Carlini D. Wagner AAML 151 3,171 0 01 Feb 2018
Unbounded cache model for online language modeling with open vocabulary Edouard Grave Moustapha Cissé Armand Joulin KELM CLL 29 62 0 07 Nov 2017
Foolbox: A Python toolbox to benchmark the robustness of machine learning models Jonas Rauber Wieland Brendel Matthias Bethge AAML 38 283 0 13 Jul 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 193 11,962 0 19 Jun 2017
Billion-scale similarity search with GPUs Jeff Johnson Matthijs Douze Hervé Jégou 129 3,682 0 28 Feb 2017
Improving Neural Language Models with a Continuous Cache Edouard Grave Armand Joulin Nicolas Usunier KELM 38 300 0 13 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 407 10,281 0 16 Nov 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 903 39,383 0 01 Sep 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 113 14,831 1 21 Dec 2013