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Semantically Stealthy Adversarial Attacks against Segmentation Models

Semantically Stealthy Adversarial Attacks against Segmentation Models

5 April 2021
Zhenhua Chen
Chuhua Wang
David J. Crandall
    AAML
ArXivPDFHTML

Papers citing "Semantically Stealthy Adversarial Attacks against Segmentation Models"

3 / 3 papers shown
Title
Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on
  Semantic Segmentation
Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation
Kira Maag
Asja Fischer
AAML
SSeg
34
3
0
26 Oct 2023
Adversarial Camouflage: Hiding Physical-World Attacks with Natural
  Styles
Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles
Ranjie Duan
Xingjun Ma
Yisen Wang
James Bailey
•. A. K. Qin
Yun Yang
AAML
167
224
0
08 Mar 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,567
0
17 Apr 2017
1