Adversarial Vulnerability of Temporal Feature Networks for Object Detection

23 August 2022

Nikolai Polley

J. Marius Zöllner

Papers citing "Adversarial Vulnerability of Temporal Feature Networks for Object Detection"

28 / 28 papers shown

Title
Feasibility of Inconspicuous GAN-generated Adversarial Patches against Object Detection Svetlana Pavlitskaya Bianca-Marina Codau J. Marius Zöllner AAML 57 12 0 15 Jul 2022
Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch Attacks F. Nesti Giulio Rossolini Saasha Nair Alessandro Biondi Giorgio Buttazzo AAML 69 76 0 13 Aug 2021
Temporal Feature Networks for CNN based Object Detection Michael Weber Tassilo Wald J. Marius Zöllner ObjD 26 3 0 22 Mar 2021
Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving James Tu Huichen Li Xinchen Yan Mengye Ren Yun Chen Ming Liang E. Bitar Ersin Yumer R. Urtasun AAML 70 77 0 17 Jan 2021
Understanding and Improving Fast Adversarial Training Maksym Andriushchenko Nicolas Flammarion AAML 82 291 0 06 Jul 2020
Investigating Vulnerability to Adversarial Examples on Multimodal Data Fusion in Deep Learning Youngjoon Yu Hong Joo Lee Byeong Cheon Kim Jung Uk Kim Yong Man Ro AAML 81 18 0 22 May 2020
Fast is better than free: Revisiting adversarial training Eric Wong Leslie Rice J. Zico Kolter AAML OOD 138 1,179 0 12 Jan 2020
On Physical Adversarial Patches for Object Detection Mark Lee Zico Kolter AAML 66 171 0 20 Jun 2019
You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle Dinghuai Zhang Tianyuan Zhang Yiping Lu Zhanxing Zhu Bin Dong AAML 109 361 0 02 May 2019
Adversarial Training for Free! Ali Shafahi Mahyar Najibi Amin Ghiasi Zheng Xu John P. Dickerson Christoph Studer L. Davis Gavin Taylor Tom Goldstein AAML 132 1,249 0 29 Apr 2019
Fooling automated surveillance cameras: adversarial patches to attack person detection Simen Thys W. V. Ranst Toon Goedemé AAML 107 570 0 18 Apr 2019
nuScenes: A multimodal dataset for autonomous driving Holger Caesar Varun Bankiti Alex H. Lang Sourabh Vora Venice Erin Liong Qiang Xu Anush Krishnan Yuxin Pan G. Baldan Oscar Beijbom 3DPC 301 5,770 0 26 Mar 2019
Defending Against Universal Perturbations With Shared Adversarial Training Chaithanya Kumar Mummadi Thomas Brox J. H. Metzen AAML 57 60 0 10 Dec 2018
Universal Adversarial Training A. Mendrik Mahyar Najibi Zheng Xu John P. Dickerson L. Davis Tom Goldstein AAML OOD 92 190 0 27 Nov 2018
Physical Adversarial Examples for Object Detectors Kevin Eykholt Ivan Evtimov Earlence Fernandes Yue Liu Amir Rahmati Florian Tramèr Atul Prakash Tadayoshi Kohno Basel Alomair AAML 92 470 0 20 Jul 2018
Robustness May Be at Odds with Accuracy Dimitris Tsipras Shibani Santurkar Logan Engstrom Alexander Turner Aleksander Madry AAML 104 1,783 0 30 May 2018
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples Anish Athalye Nicholas Carlini D. Wagner AAML 232 3,194 0 01 Feb 2018
Adversarial Patch Tom B. Brown Dandelion Mané Aurko Roy Martín Abadi Justin Gilmer AAML 78 1,097 0 27 Dec 2017
DSOD: Learning Deeply Supervised Object Detectors from Scratch Zhiqiang Shen Zhuang Liu Jianguo Li Yu-Gang Jiang Yurong Chen Xiangyang Xue ObjD 72 601 0 03 Aug 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 310 12,117 0 19 Jun 2017
Ensemble Adversarial Training: Attacks and Defenses Florian Tramèr Alexey Kurakin Nicolas Papernot Ian Goodfellow Dan Boneh Patrick McDaniel AAML 177 2,728 0 19 May 2017
Universal Adversarial Perturbations Against Semantic Image Segmentation J. H. Metzen Mummadi Chaithanya Kumar Thomas Brox Volker Fischer AAML 131 287 0 19 Apr 2017
YOLO9000: Better, Faster, Stronger Joseph Redmon Ali Farhadi VLM ObjD 183 15,619 0 25 Dec 2016
Universal adversarial perturbations Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi Omar Fawzi P. Frossard AAML 145 2,533 0 26 Oct 2016
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 266 8,555 0 16 Aug 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,260 0 22 Dec 2014
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 280 19,107 0 20 Dec 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 277 14,961 1 21 Dec 2013