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Fooling a Real Car with Adversarial Traffic Signs

Fooling a Real Car with Adversarial Traffic Signs

30 June 2019
N. Morgulis
Alexander Kreines
Shachar Mendelowitz
Yuval Weisglass
    AAML
ArXivPDFHTML

Papers citing "Fooling a Real Car with Adversarial Traffic Signs"

18 / 18 papers shown
Title
Adversarial Safety-Critical Scenario Generation using Naturalistic Human
  Driving Priors
Adversarial Safety-Critical Scenario Generation using Naturalistic Human Driving Priors
Kunkun Hao
Yonggang Luo
Wen Cui
Yuqiao Bai
Jucheng Yang
Songyang Yan
Yuxi Pan
Zijiang Yang
AAML
36
19
0
06 Aug 2024
Towards Understanding and Boosting Adversarial Transferability from a
  Distribution Perspective
Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective
Yao Zhu
YueFeng Chen
Xiaodan Li
Kejiang Chen
Yuan He
Xiang Tian
Bo Zheng
Yao-wu Chen
Qingming Huang
AAML
33
58
0
09 Oct 2022
Exact Spectral Norm Regularization for Neural Networks
Exact Spectral Norm Regularization for Neural Networks
Anton Johansson
Claes Strannegård
Niklas Engsner
P. Mostad
AAML
25
2
0
27 Jun 2022
Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial
  Examples Against Traffic Sign Recognition Systems
Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial Examples Against Traffic Sign Recognition Systems
Wei Jia
Zhaojun Lu
Haichun Zhang
Zhenglin Liu
Jie Wang
Gang Qu
AAML
16
51
0
17 Jan 2022
ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based
  Repeated Bit Flip Attack
ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip Attack
Dahoon Park
K. Kwon
Sunghoon Im
Jaeha Kung
AAML
16
3
0
01 Nov 2021
Optical Adversarial Attack
Optical Adversarial Attack
Abhiram Gnanasambandam
A. Sherman
Stanley H. Chan
AAML
35
65
0
13 Aug 2021
Adaptive Clustering of Robust Semantic Representations for Adversarial
  Image Purification
Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification
S. Silva
Arun Das
I. Scarff
Peyman Najafirad
AAML
20
1
0
05 Apr 2021
Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey
Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey
Thomas Rojat
Raphael Puget
David Filliat
Javier Del Ser
R. Gelin
Natalia Díaz Rodríguez
XAI
AI4TS
44
128
0
02 Apr 2021
Exploiting epistemic uncertainty of the deep learning models to generate
  adversarial samples
Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples
Ömer Faruk Tuna
Ferhat Ozgur Catak
M. T. Eskil
AAML
27
32
0
08 Feb 2021
Explainability of deep vision-based autonomous driving systems: Review
  and challenges
Explainability of deep vision-based autonomous driving systems: Review and challenges
Éloi Zablocki
H. Ben-younes
P. Pérez
Matthieu Cord
XAI
50
170
0
13 Jan 2021
Generating Out of Distribution Adversarial Attack using Latent Space
  Poisoning
Generating Out of Distribution Adversarial Attack using Latent Space Poisoning
Ujjwal Upadhyay
Prerana Mukherjee
39
7
0
09 Dec 2020
Experiments in Autonomous Driving Through Imitation Learning
Experiments in Autonomous Driving Through Imitation Learning
Michael Muratov
Abdulwasay Mehar
W. Lee
Michael Szpakowicz
Ose Edmond Umolu
Joshua Mazariegos Bobadilla
Ali Kuwajerwala
SSL
19
1
0
25 Nov 2020
AI Governance for Businesses
AI Governance for Businesses
Johannes Schneider
Rene Abraham
Christian Meske
Jan vom Brocke
AI4TS
32
67
0
20 Nov 2020
Double Targeted Universal Adversarial Perturbations
Double Targeted Universal Adversarial Perturbations
Philipp Benz
Chaoning Zhang
Tooba Imtiaz
In So Kweon
AAML
43
48
0
07 Oct 2020
Safety Concerns and Mitigation Approaches Regarding the Use of Deep
  Learning in Safety-Critical Perception Tasks
Safety Concerns and Mitigation Approaches Regarding the Use of Deep Learning in Safety-Critical Perception Tasks
Oliver Willers
Sebastian Sudholt
Shervin Raafatnia
Stephanie Abrecht
28
80
0
22 Jan 2020
Simple iterative method for generating targeted universal adversarial
  perturbations
Simple iterative method for generating targeted universal adversarial perturbations
Hokuto Hirano
Kazuhiro Takemoto
AAML
33
30
0
15 Nov 2019
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object
  Detector
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector
Shang-Tse Chen
Cory Cornelius
Jason Martin
Duen Horng Chau
ObjD
165
424
0
16 Apr 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
303
3,115
0
04 Nov 2016
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