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2302.13570
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Physical Adversarial Attacks on Deep Neural Networks for Traffic Sign Recognition: A Feasibility Study
27 February 2023
Fabian Woitschek
G. Schneider
AAML
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Papers citing
"Physical Adversarial Attacks on Deep Neural Networks for Traffic Sign Recognition: A Feasibility Study"
6 / 6 papers shown
Title
Evaluating Adversarial Attacks on Traffic Sign Classifiers beyond Standard Baselines
Svetlana Pavlitska
Leopold Müller
J. Marius Zöllner
AAML
76
0
0
12 Dec 2024
Fall Leaf Adversarial Attack on Traffic Sign Classification
Anthony Etim
Jakub Szefer
AAML
76
3
0
27 Nov 2024
Diffusion Attack: Leveraging Stable Diffusion for Naturalistic Image Attacking
Qianyu Guo
Jiaming Fu
Yawen Lu
Dongming Gan
DiffM
27
0
0
21 Mar 2024
Adversarial Attacks on Traffic Sign Recognition: A Survey
Svetlana Pavlitska
Nico Lambing
J. Marius Zöllner
AAML
27
17
0
17 Jul 2023
Online Black-Box Confidence Estimation of Deep Neural Networks
Fabian Woitschek
G. Schneider
UQCV
23
1
0
27 Feb 2023
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,837
0
08 Jul 2016
1