ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2103.09151
  4. Cited By
Adversarial Driving: Attacking End-to-End Autonomous Driving

Adversarial Driving: Attacking End-to-End Autonomous Driving

16 March 2021
Han-Ching Wu
Syed Yunas
Sareh Rowlands
Wenjie Ruan
Johan Wahlstrom
    AAML
ArXivPDFHTML

Papers citing "Adversarial Driving: Attacking End-to-End Autonomous Driving"

14 / 14 papers shown
Title
Robot Operating System 2: Design, Architecture, and Uses In The Wild
Robot Operating System 2: Design, Architecture, and Uses In The Wild
Steve Macenski
Tully Foote
Brian P. Gerkey
Chris Lalancette
W. Woodall
64
831
0
14 Nov 2022
Trajectory-guided Control Prediction for End-to-end Autonomous Driving:
  A Simple yet Strong Baseline
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline
Peng Wu
Xiaosong Jia
Li Chen
Junchi Yan
Hongyang Li
Yu Qiao
73
195
0
16 Jun 2022
Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
Aditya Prakash
Kashyap Chitta
Andreas Geiger
ViT
103
525
0
19 Apr 2021
A Survey of End-to-End Driving: Architectures and Training Methods
A Survey of End-to-End Driving: Architectures and Training Methods
Ardi Tampuu
Maksym Semikin
Naveed Muhammad
D. Fishman
Tambet Matiisen
3DV
57
235
0
13 Mar 2020
An Analysis of Adversarial Attacks and Defenses on Autonomous Driving
  Models
An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models
Yao Deng
Xi Zheng
Tianyi Zhang
Chen Chen
Guannan Lou
Miryung Kim
AAML
40
143
0
06 Feb 2020
Square Attack: a query-efficient black-box adversarial attack via random
  search
Square Attack: a query-efficient black-box adversarial attack via random search
Maksym Andriushchenko
Francesco Croce
Nicolas Flammarion
Matthias Hein
AAML
75
987
0
29 Nov 2019
Attacking Vision-based Perception in End-to-End Autonomous Driving
  Models
Attacking Vision-based Perception in End-to-End Autonomous Driving Models
Adith Boloor
Karthik Garimella
Xin He
C. Gill
Yevgeniy Vorobeychik
Xuan Zhang
AAML
53
107
0
02 Oct 2019
A Survey of Autonomous Driving: Common Practices and Emerging
  Technologies
A Survey of Autonomous Driving: Common Practices and Emerging Technologies
Ekim Yurtsever
Jacob Lambert
Alexander Carballo
K. Takeda
83
1,378
0
12 Jun 2019
CARLA: An Open Urban Driving Simulator
CARLA: An Open Urban Driving Simulator
Alexey Dosovitskiy
G. Ros
Felipe Codevilla
Antonio M. López
V. Koltun
VLM
133
5,163
0
10 Nov 2017
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILM
OOD
285
12,060
0
19 Jun 2017
AirSim: High-Fidelity Visual and Physical Simulation for Autonomous
  Vehicles
AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles
S. Shah
Debadeepta Dey
Chris Lovett
Ashish Kapoor
90
1,995
0
15 May 2017
Universal adversarial perturbations
Universal adversarial perturbations
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
Omar Fawzi
P. Frossard
AAML
130
2,527
0
26 Oct 2016
End to End Learning for Self-Driving Cars
End to End Learning for Self-Driving Cars
Mariusz Bojarski
D. Testa
Daniel Dworakowski
Bernhard Firner
B. Flepp
...
Urs Muller
Jiakai Zhang
Xin Zhang
Jake Zhao
Karol Zieba
SSL
93
4,167
0
25 Apr 2016
DeepFool: a simple and accurate method to fool deep neural networks
DeepFool: a simple and accurate method to fool deep neural networks
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
P. Frossard
AAML
142
4,895
0
14 Nov 2015
1