Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks

18 May 2021

Papers citing "Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks"

9 / 59 papers shown

Title
Wide Residual Networks Sergey Zagoruyko N. Komodakis 337 7,985 0 23 May 2016
Adaptive Computation Time for Recurrent Neural Networks Alex Graves 107 547 0 29 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
Neural Module Networks Jacob Andreas Marcus Rohrbach Trevor Darrell Dan Klein CoGe 134 1,072 0 09 Nov 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,305 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,115 0 22 Dec 2014
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 277 19,049 0 20 Dec 2014
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 1.7K 39,525 0 01 Sep 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 270 14,918 1 21 Dec 2013