Standard detectors aren't (currently) fooled by physical adversarial stop signs

9 October 2017

Papers citing "Standard detectors aren't (currently) fooled by physical adversarial stop signs"

9 / 9 papers shown

Title
Fall Leaf Adversarial Attack on Traffic Sign Classification Anthony Etim Jakub Szefer AAML 79 3 0 27 Nov 2024
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 32 73 0 07 Aug 2020
Adversarial Examples in Modern Machine Learning: A Review R. Wiyatno Anqi Xu Ousmane Amadou Dia A. D. Berker AAML 21 104 0 13 Nov 2019
Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object Tracking Yunhan Jia Yantao Lu Junjie Shen Qi Alfred Chen Zhenyu Zhong Tao Wei AAML VOT 13 33 0 27 May 2019
Adversarial camera stickers: A physical camera-based attack on deep learning systems Juncheng Billy Li Frank R. Schmidt J. Zico Kolter AAML 11 164 0 21 Mar 2019
Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects Michael A. Alcorn Melvin Johnson Zhitao Gong Chengfei Wang Long Mai Naveen Ari Stella Laurenzo 47 299 0 28 Nov 2018
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks Shivang Agarwal Jean Ogier du Terrail F. Jurie ObjD 24 123 0 10 Sep 2018
Motivating the Rules of the Game for Adversarial Example Research Justin Gilmer Ryan P. Adams Ian Goodfellow David G. Andersen George E. Dahl AAML 50 226 0 18 Jul 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 332 5,849 0 08 Jul 2016