Metamorphic Detection of Adversarial Examples in Deep Learning Models
With Affine Transformations

Metamorphic Detection of Adversarial Examples in Deep Learning Models With Affine Transformations

10 July 2019

Gudjon Magnusson

Mikael Lindvall

Papers citing "Metamorphic Detection of Adversarial Examples in Deep Learning Models With Affine Transformations"

10 / 10 papers shown

Title
Identifying Implementation Bugs in Machine Learning based Image Classifiers using Metamorphic Testing Anurag Dwarakanath Manish Ahuja Samarth Sikand Raghotham M. Rao Jagadeesh Chandra J. C. Bose Neville Dubash Sanjay Podder VLM 33 174 0 16 Aug 2018
Black-box Adversarial Attacks with Limited Queries and Information Andrew Ilyas Logan Engstrom Anish Athalye Jessy Lin MLAU AAML 163 1,200 0 23 Apr 2018
YOLOv3: An Incremental Improvement Joseph Redmon Ali Farhadi ObjD 107 21,432 0 08 Apr 2018
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods Nicholas Carlini D. Wagner AAML 118 1,857 0 20 May 2017
Practical Black-Box Attacks against Machine Learning Nicolas Papernot Patrick McDaniel Ian Goodfellow S. Jha Z. Berkay Celik A. Swami MLAU AAML 68 3,675 0 08 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,814 0 10 Dec 2015
DeepFool: a simple and accurate method to fool deep neural networks Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi P. Frossard AAML 146 4,895 0 14 Nov 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 264 19,045 0 20 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,330 0 04 Sep 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 261 14,912 1 21 Dec 2013