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Fooling Detection Alone is Not Enough: First Adversarial Attack against
  Multiple Object Tracking
v1v2 (latest)

Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object Tracking

27 May 2019
Yunhan Jia
Yantao Lu
Junjie Shen
Qi Alfred Chen
Zhenyu Zhong
Tao Wei
    AAMLVOT
ArXiv (abs)PDFHTML

Papers citing "Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object Tracking"

11 / 11 papers shown
Title
Safety Interventions against Adversarial Patches in an Open-Source Driver Assistance System
Safety Interventions against Adversarial Patches in an Open-Source Driver Assistance System
Cheng Chen
Grant Xiao
Daehyun Lee
Lishan Yang
E. Smirni
H. Alemzadeh
Xugui Zhou
AAML
68
1
0
26 Apr 2025
Runtime Stealthy Perception Attacks against DNN-based Adaptive Cruise Control Systems
Runtime Stealthy Perception Attacks against DNN-based Adaptive Cruise Control Systems
Xugui Zhou
Anqi Chen
Maxfield Kouzel
Haotian Ren
Morgan McCarty
Cristina Nita-Rotaru
H. Alemzadeh
AAML
108
2
0
18 Jul 2023
Stochastic MPC Based Attacks on Object Tracking in Autonomous Driving
  Systems
Stochastic MPC Based Attacks on Object Tracking in Autonomous Driving Systems
Sourav Sinha
M. Farhood
AAML
74
0
0
21 Apr 2023
Learning When to Use Adaptive Adversarial Image Perturbations against
  Autonomous Vehicles
Learning When to Use Adaptive Adversarial Image Perturbations against Autonomous Vehicles
Hyung-Jin Yoon
H. Jafarnejadsani
P. Voulgaris
AAML
65
7
0
28 Dec 2022
DIMBA: Discretely Masked Black-Box Attack in Single Object Tracking
DIMBA: Discretely Masked Black-Box Attack in Single Object Tracking
Xiangyu Yin
Wenjie Ruan
J. Fieldsend
AAML
84
29
0
17 Jul 2022
Physical Attack on Monocular Depth Estimation with Optimal Adversarial
  Patches
Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches
Zhiyuan Cheng
James Liang
Hongjun Choi
Guanhong Tao
Zhiwen Cao
Dongfang Liu
Xiangyu Zhang
AAMLMDE
70
86
0
11 Jul 2022
On Adversarial Robustness of Trajectory Prediction for Autonomous
  Vehicles
On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles
Qingzhao Zhang
Shengtuo Hu
Jiachen Sun
Qi Alfred Chen
Z. Morley Mao
AAML
132
138
0
13 Jan 2022
Security Analysis of Camera-LiDAR Fusion Against Black-Box Attacks on
  Autonomous Vehicles
Security Analysis of Camera-LiDAR Fusion Against Black-Box Attacks on Autonomous Vehicles
R. S. Hallyburton
Yupei Liu
Yulong Cao
Z. Morley Mao
Miroslav Pajic
AAML
114
54
0
13 Jun 2021
Detecting Adversarial Patches with Class Conditional Reconstruction
  Networks
Detecting Adversarial Patches with Class Conditional Reconstruction Networks
Perry Deng
Mohammad Saidur Rahman
M. Wright
AAML
71
2
0
11 Nov 2020
ML-driven Malware that Targets AV Safety
ML-driven Malware that Targets AV Safety
Saurabh Jha
Shengkun Cui
Subho Sankar Banerjee
Timothy Tsai
Zbigniew T. Kalbarczyk
Ravishankar Iyer
AAML
66
28
0
24 Apr 2020
Weighted Average Precision: Adversarial Example Detection in the Visual
  Perception of Autonomous Vehicles
Weighted Average Precision: Adversarial Example Detection in the Visual Perception of Autonomous Vehicles
Yilan Li
Senem Velipasalar
AAML
51
8
0
25 Jan 2020
1