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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

11 January 2021
Andreas Bär
Jonas Löhdefink
Nikhil Kapoor
Serin Varghese
Fabian Hüger
Peter Schlicht
Tim Fingscheidt
    AAML
ArXivPDFHTML

Papers citing "The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing"

4 / 4 papers shown
Title
Adversarial Artifact Detection in EEG-Based Brain-Computer Interfaces
Adversarial Artifact Detection in EEG-Based Brain-Computer Interfaces
Xiaoqing Chen
Dongrui Wu
AAML
11
2
0
28 Nov 2022
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
18
36
0
05 Jan 2022
Security and privacy for 6G: A survey on prospective technologies and
  challenges
Security and privacy for 6G: A survey on prospective technologies and challenges
V. Nguyen
Po-Ching Lin
Bo-Chao Cheng
Ren-Hung Hwang
Ying-Dar Lin
AILaw
23
276
0
26 Aug 2021
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
256
3,108
0
04 Nov 2016
1