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Adversarial Patch Attacks on Monocular Depth Estimation Networks

Adversarial Patch Attacks on Monocular Depth Estimation Networks

6 October 2020
Koichiro Yamanaka
R. Matsumoto
Keita Takahashi
T. Fujii
    GAN
    AAML
    MDE
ArXivPDFHTML

Papers citing "Adversarial Patch Attacks on Monocular Depth Estimation Networks"

9 / 9 papers shown
Title
SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption
  of Monocular Depth Estimation in Autonomous Navigation Applications
SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption of Monocular Depth Estimation in Autonomous Navigation Applications
Amira Guesmi
Muhammad Abdullah Hanif
Ihsen Alouani
B. Ouni
Muhammad Shafique
AAML
MDE
39
5
0
18 Mar 2024
Improving Feature Stability during Upsampling -- Spectral Artifacts and
  the Importance of Spatial Context
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context
Shashank Agnihotri
Julia Grabinski
M. Keuper
30
6
0
29 Nov 2023
SAAM: Stealthy Adversarial Attack on Monocular Depth Estimation
SAAM: Stealthy Adversarial Attack on Monocular Depth Estimation
Amira Guesmi
Muhammad Abdullah Hanif
B. Ouni
Muhammad Shafique
MDE
40
12
0
06 Aug 2023
On the Real-World Adversarial Robustness of Real-Time Semantic
  Segmentation Models for Autonomous Driving
On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving
Giulio Rossolini
F. Nesti
G. D’Amico
Saasha Nair
Alessandro Biondi
Giorgio Buttazzo
AAML
33
37
0
05 Jan 2022
Evaluating the Robustness of Semantic Segmentation for Autonomous
  Driving against Real-World Adversarial Patch Attacks
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
34
74
0
13 Aug 2021
Transferable Adversarial Attacks for Image and Video Object Detection
Transferable Adversarial Attacks for Image and Video Object Detection
Xingxing Wei
Siyuan Liang
Ning Chen
Xiaochun Cao
AAML
77
221
0
30 Nov 2018
Deep Ordinal Regression Network for Monocular Depth Estimation
Deep Ordinal Regression Network for Monocular Depth Estimation
Huan Fu
Biwei Huang
Chaohui Wang
Kayhan Batmanghelich
Dacheng Tao
MDE
200
1,708
0
06 Jun 2018
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,837
0
08 Jul 2016
Designing Deep Networks for Surface Normal Estimation
Designing Deep Networks for Surface Normal Estimation
Xinyu Wang
David Fouhey
Abhinav Gupta
3DV
SSL
167
353
0
18 Nov 2014
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