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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

5 January 2022
Giulio Rossolini
F. Nesti
G. D’Amico
Saasha Nair
Alessandro Biondi
Giorgio Buttazzo
    AAML
ArXivPDFHTML

Papers citing "On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving"

11 / 11 papers shown
Title
Benchmarking the Spatial Robustness of DNNs via Natural and Adversarial Localized Corruptions
Benchmarking the Spatial Robustness of DNNs via Natural and Adversarial Localized Corruptions
Giulia Marchiori Pietrosanti
Giulio Rossolini
Alessandro Biondi
Giorgio Buttazzo
AAML
80
0
0
02 Apr 2025
Overlap-Aware Feature Learning for Robust Unsupervised Domain Adaptation for 3D Semantic Segmentation
Overlap-Aware Feature Learning for Robust Unsupervised Domain Adaptation for 3D Semantic Segmentation
Junjie Chen
Yuecong Xu
H. Li
Kemi Ding
3DPC
44
0
0
02 Apr 2025
Robust Single Object Tracking in LiDAR Point Clouds under Adverse Weather Conditions
Robust Single Object Tracking in LiDAR Point Clouds under Adverse Weather Conditions
Xiantong Zhao
Xiuping Liu
Shengjing Tian
Yinan Han
41
0
0
13 Jan 2025
Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving
Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving
Shaoyuan Xie
Lingdong Kong
Wenwei Zhang
Jiawei Ren
Liang Pan
Kai-xiang Chen
Ziwei Liu
AAML
55
9
0
27 May 2024
How Deep Learning Sees the World: A Survey on Adversarial Attacks &
  Defenses
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses
Joana Cabral Costa
Tiago Roxo
Hugo Manuel Proença
Pedro R. M. Inácio
AAML
37
49
0
18 May 2023
Deadwooding: Robust Global Pruning for Deep Neural Networks
Deadwooding: Robust Global Pruning for Deep Neural Networks
Sawinder Kaur
Ferdinando Fioretto
Asif Salekin
19
4
0
10 Feb 2022
PatchGuard++: Efficient Provable Attack Detection against Adversarial
  Patches
PatchGuard++: Efficient Provable Attack Detection against Adversarial Patches
Chong Xiang
Prateek Mittal
AAML
31
42
0
26 Apr 2021
Deep Dual-resolution Networks for Real-time and Accurate Semantic
  Segmentation of Road Scenes
Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes
Yuanduo Hong
Huihui Pan
Weichao Sun
Yisong Jia
SSeg
138
260
0
15 Jan 2021
The Vulnerability of Semantic Segmentation Networks to Adversarial
  Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing
The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing
Andreas Bär
Jonas Löhdefink
Nikhil Kapoor
Serin Varghese
Fabian Hüger
Peter Schlicht
Tim Fingscheidt
AAML
106
33
0
11 Jan 2021
SentiNet: Detecting Localized Universal Attacks Against Deep Learning
  Systems
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems
Edward Chou
Florian Tramèr
Giancarlo Pellegrino
AAML
168
287
0
02 Dec 2018
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,835
0
08 Jul 2016
1