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Adversarial Objects Against LiDAR-Based Autonomous Driving Systems

Adversarial Objects Against LiDAR-Based Autonomous Driving Systems

11 July 2019
Yulong Cao
Chaowei Xiao
Dawei Yang
Jin Fang
Ruigang Yang
Mingyan D. Liu
Bo Li
    3DPC
    AAML
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Papers citing "Adversarial Objects Against LiDAR-Based Autonomous Driving Systems"

28 / 28 papers shown
Title
AdvQDet: Detecting Query-Based Adversarial Attacks with Adversarial
  Contrastive Prompt Tuning
AdvQDet: Detecting Query-Based Adversarial Attacks with Adversarial Contrastive Prompt Tuning
Xin Wang
Kai-xiang Chen
Xingjun Ma
Zhineng Chen
Jingjing Chen
Yu-Gang Jiang
AAML
48
4
0
04 Aug 2024
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models
  Against Adversarial Attacks
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks
Yanjie Li
Bin Xie
Songtao Guo
Yuanyuan Yang
Bin Xiao
AAML
42
16
0
01 Oct 2023
Generating Transferable Adversarial Simulation Scenarios for
  Self-Driving via Neural Rendering
Generating Transferable Adversarial Simulation Scenarios for Self-Driving via Neural Rendering
Yasasa Abeysirigoonawardena
Kevin Xie
Chuhan Chen
Salar Hosseini
Ruiting Chen
Ruiqi Wang
Florian Shkurti
41
2
0
27 Sep 2023
Toward Certifying Maps for Safe Registration-based Localization Under
  Adverse Conditions
Toward Certifying Maps for Safe Registration-based Localization Under Adverse Conditions
Johann Laconte
Daniil Lisus
T. Barfoot
43
5
0
08 Sep 2023
Towards Cyber Security for Low-Carbon Transportation: Overview,
  Challenges and Future Directions
Towards Cyber Security for Low-Carbon Transportation: Overview, Challenges and Future Directions
Yue Cao
Sifan Li
Chenchen Lv
Di Wang
Hongjian Sun
Jing Jiang
Fanlin Meng
Lexi Xu
Xinzhou Cheng
25
21
0
24 May 2023
Invariance-Aware Randomized Smoothing Certificates
Invariance-Aware Randomized Smoothing Certificates
Jan Schuchardt
Stephan Günnemann
AAML
30
5
0
25 Nov 2022
Perception Simplex: Verifiable Collision Avoidance in Autonomous
  Vehicles Amidst Obstacle Detection Faults
Perception Simplex: Verifiable Collision Avoidance in Autonomous Vehicles Amidst Obstacle Detection Faults
Ayoosh Bansal
Hunmin Kim
Simon Yu
Bo Li
N. Hovakimyan
Marco Caccamo
L. Sha
AAML
37
4
0
04 Sep 2022
Verifiable Obstacle Detection
Verifiable Obstacle Detection
Ayoosh Bansal
Hunmin Kim
Simon Yu
Bo-Yi Li
N. Hovakimyan
Marco Caccamo
L. Sha
33
6
0
30 Aug 2022
3DVerifier: Efficient Robustness Verification for 3D Point Cloud Models
3DVerifier: Efficient Robustness Verification for 3D Point Cloud Models
Ronghui Mu
Wenjie Ruan
Leandro Soriano Marcolino
Q. Ni
3DPC
39
10
0
15 Jul 2022
A Survey on Safety-Critical Driving Scenario Generation -- A
  Methodological Perspective
A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective
Wenhao Ding
Chejian Xu
Mansur Arief
Hao-ming Lin
Bo Li
Ding Zhao
37
146
0
04 Feb 2022
3D-VField: Adversarial Augmentation of Point Clouds for Domain
  Generalization in 3D Object Detection
3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection
Alexander Lehner
Stefano Gasperini
Alvaro Marcos-Ramiro
Michael Schmidt
M. N. Mahani
Nassir Navab
Benjamin Busam
F. Tombari
3DPC
29
52
0
09 Dec 2021
When Does Contrastive Learning Preserve Adversarial Robustness from
  Pretraining to Finetuning?
When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
Lijie Fan
Sijia Liu
Pin-Yu Chen
Gaoyuan Zhang
Chuang Gan
AAML
VLM
22
120
0
01 Nov 2021
Trustworthy AI: From Principles to Practices
Trustworthy AI: From Principles to Practices
Bo Li
Peng Qi
Bo Liu
Shuai Di
Jingen Liu
Jiquan Pei
Jinfeng Yi
Bowen Zhou
119
357
0
04 Oct 2021
Optical Adversarial Attack
Optical Adversarial Attack
Abhiram Gnanasambandam
A. Sherman
Stanley H. Chan
AAML
35
65
0
13 Aug 2021
Adversarial Attacks on Multi-task Visual Perception for Autonomous
  Driving
Adversarial Attacks on Multi-task Visual Perception for Autonomous Driving
Ibrahim Sobh
Ahmed Hamed
V. Kumar
S. Yogamani
AAML
45
20
0
15 Jul 2021
We Can Always Catch You: Detecting Adversarial Patched Objects WITH or
  WITHOUT Signature
We Can Always Catch You: Detecting Adversarial Patched Objects WITH or WITHOUT Signature
Binxiu Liang
Jiachun Li
Jianjun Huang
AAML
33
12
0
09 Jun 2021
MAVFI: An End-to-End Fault Analysis Framework with Anomaly Detection and
  Recovery for Micro Aerial Vehicles
MAVFI: An End-to-End Fault Analysis Framework with Anomaly Detection and Recovery for Micro Aerial Vehicles
Yu-Shun Hsiao
Zishen Wan
Tianyu Jia
Radhika Ghosal
Abdulrahman Mahmoud
A. Raychowdhury
David Brooks
Gu-Yeon Wei
Vijay Janapa Reddi
43
19
0
27 May 2021
Real-time Detection of Practical Universal Adversarial Perturbations
Real-time Detection of Practical Universal Adversarial Perturbations
Kenneth T. Co
Luis Muñoz-González
Leslie Kanthan
Emil C. Lupu
AAML
33
6
0
16 May 2021
On the benefits of robust models in modulation recognition
On the benefits of robust models in modulation recognition
Javier Maroto
Gérôme Bovet
P. Frossard
AAML
29
4
0
27 Mar 2021
Adversarial Attacks on Camera-LiDAR Models for 3D Car Detection
Adversarial Attacks on Camera-LiDAR Models for 3D Car Detection
Mazen Abdelfattah
Kaiwen Yuan
Z. J. Wang
Rabab Ward
3DPC
16
30
0
17 Mar 2021
Towards Universal Physical Attacks On Cascaded Camera-Lidar 3D Object
  Detection Models
Towards Universal Physical Attacks On Cascaded Camera-Lidar 3D Object Detection Models
Mazen Abdelfattah
Kaiwen Yuan
Z. J. Wang
Rabab Ward
3DPC
18
31
0
26 Jan 2021
Exploring Adversarial Robustness of Multi-Sensor Perception Systems in
  Self Driving
Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving
James Tu
Huichen Li
Xinchen Yan
Mengye Ren
Yun Chen
Ming Liang
E. Bitar
Ersin Yumer
R. Urtasun
AAML
32
76
0
17 Jan 2021
Deep Neural Network Perception Models and Robust Autonomous Driving
  Systems
Deep Neural Network Perception Models and Robust Autonomous Driving Systems
M. Shafiee
Ahmadreza Jeddi
Amir Nazemi
Paul Fieguth
A. Wong
OOD
37
15
0
04 Mar 2020
Enhanced Adversarial Strategically-Timed Attacks against Deep
  Reinforcement Learning
Enhanced Adversarial Strategically-Timed Attacks against Deep Reinforcement Learning
Chao-Han Huck Yang
Jun Qi
Pin-Yu Chen
Ouyang Yi
I-Te Danny Hung
Chin-Hui Lee
Xiaoli Ma
AAML
21
29
0
20 Feb 2020
AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds
AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds
Abdullah Hamdi
Sara Rojas
Ali K. Thabet
Guohao Li
AAML
3DPC
36
127
0
01 Dec 2019
Adversarial T-shirt! Evading Person Detectors in A Physical World
Adversarial T-shirt! Evading Person Detectors in A Physical World
Kaidi Xu
Gaoyuan Zhang
Sijia Liu
Quanfu Fan
Mengshu Sun
Hongge Chen
Pin-Yu Chen
Yanzhi Wang
Xue Lin
AAML
16
30
0
18 Oct 2019
Adversarial shape perturbations on 3D point clouds
Adversarial shape perturbations on 3D point clouds
Daniel Liu
Ronald Yu
Hao Su
3DPC
33
12
0
16 Aug 2019
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
353
5,849
0
08 Jul 2016
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