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Emerging Threats in Deep Learning-Based Autonomous Driving: A
  Comprehensive Survey

Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey

19 October 2022
Huiyun Cao
Wenlong Zou
Yinkun Wang
Ting Song
Mengjun Liu
    AAML
ArXivPDFHTML

Papers citing "Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey"

12 / 12 papers shown
Title
TransFuser: Imitation with Transformer-Based Sensor Fusion for
  Autonomous Driving
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving
Kashyap Chitta
Aditya Prakash
Bernhard Jaeger
Zehao Yu
Katrin Renz
Andreas Geiger
ViT
67
291
0
31 May 2022
Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via
  Feature Distillation
Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation
Yixuan Wei
Han Hu
Zhenda Xie
Zheng-Wei Zhang
Yue Cao
Jianmin Bao
Dong Chen
B. Guo
CLIP
76
109
0
27 May 2022
CLRNet: Cross Layer Refinement Network for Lane Detection
CLRNet: Cross Layer Refinement Network for Lane Detection
Tu Zheng
Yifei Huang
Yang Liu
Wenjian Tang
Zheng Yang
Deng Cai
Xiaofei He
55
183
0
19 Mar 2022
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning
Lun Wang
Zaynah Javed
Xian Wu
Wenbo Guo
Xinyu Xing
D. Song
AAML
57
64
0
02 May 2021
Threats to Federated Learning: A Survey
Threats to Federated Learning: A Survey
Lingjuan Lyu
Han Yu
Qiang Yang
FedML
175
427
0
04 Mar 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey
Deep Reinforcement Learning for Autonomous Driving: A Survey
B. R. Kiran
Ibrahim Sobh
V. Talpaert
Patrick Mannion
A. A. Sallab
S. Yogamani
P. Pérez
135
1,599
0
02 Feb 2020
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous
  Vehicles
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles
S. Aradi
192
427
0
30 Jan 2020
Challenges and Countermeasures for Adversarial Attacks on Deep
  Reinforcement Learning
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning
Inaam Ilahi
Muhammad Usama
Junaid Qadir
M. Janjua
Ala I. Al-Fuqaha
D. Hoang
Dusit Niyato
AAML
43
105
0
27 Jan 2020
Universal Physical Camouflage Attacks on Object Detectors
Universal Physical Camouflage Attacks on Object Detectors
Lifeng Huang
Chengying Gao
Yuyin Zhou
Cihang Xie
Alan Yuille
C. Zou
Ning Liu
AAML
126
159
0
10 Sep 2019
BirdNet: a 3D Object Detection Framework from LiDAR information
BirdNet: a 3D Object Detection Framework from LiDAR information
Jorge Beltrán
Carlos Guindel
Francisco Miguel Moreno
Daniel Cruzado
F. García
A. D. L. Escalera
3DPC
118
235
0
03 May 2018
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object
  Detector
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector
Shang-Tse Chen
Cory Cornelius
Jason Martin
Duen Horng Chau
ObjD
134
422
0
16 Apr 2018
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
247
5,361
0
08 Jul 2016
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