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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"

14 / 14 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 SystemDependable Systems and Networks (DSN), 2025
Cheng Chen
Grant Xiao
Daehyun Lee
Lishan Yang
E. Smirni
H. Alemzadeh
Xugui Zhou
AAML
218
1
0
26 Apr 2025
Multi-Robot Coordination with Adversarial Perception
Multi-Robot Coordination with Adversarial PerceptionInternational Conference on Unmanned Aircraft Systems (ICUAS), 2025
Rayan Bahrami
H. Jafarnejadsani
AAML
324
0
0
12 Apr 2025
Runtime Stealthy Perception Attacks against DNN-based Adaptive Cruise Control Systems
Runtime Stealthy Perception Attacks against DNN-based Adaptive Cruise Control SystemsACM Asia Conference on Computer and Communications Security (AsiaCCS), 2023
Xugui Zhou
Anqi Chen
Maxfield Kouzel
Haotian Ren
Morgan McCarty
Cristina Nita-Rotaru
H. Alemzadeh
AAML
355
3
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 SystemsIFAC-PapersOnLine (IFAC-PapersOnLine), 2023
Sourav Sinha
M. Farhood
AAML
152
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 VehiclesIEEE Robotics and Automation Letters (RA-L), 2022
Hyung-Jin Yoon
H. Jafarnejadsani
P. Voulgaris
AAML
162
10
0
28 Dec 2022
DIMBA: Discretely Masked Black-Box Attack in Single Object Tracking
DIMBA: Discretely Masked Black-Box Attack in Single Object TrackingMachine-mediated learning (ML), 2022
Xiangyu Yin
Wenjie Ruan
J. Fieldsend
AAML
163
34
0
17 Jul 2022
Physical Attack on Monocular Depth Estimation with Optimal Adversarial
  Patches
Physical Attack on Monocular Depth Estimation with Optimal Adversarial PatchesEuropean Conference on Computer Vision (ECCV), 2022
Zhiyuan Cheng
James Liang
Hongjun Choi
Guanhong Tao
Zhiwen Cao
Dongfang Liu
Xiangyu Zhang
AAMLMDE
157
120
0
11 Jul 2022
On Adversarial Robustness of Trajectory Prediction for Autonomous
  Vehicles
On Adversarial Robustness of Trajectory Prediction for Autonomous VehiclesComputer Vision and Pattern Recognition (CVPR), 2022
Qingzhao Zhang
Shengtuo Hu
Jiachen Sun
Qi Alfred Chen
Z. Morley Mao
AAML
288
174
0
13 Jan 2022
Tracklet-Switch Adversarial Attack against Pedestrian Multi-Object
  Tracking Trackers
Tracklet-Switch Adversarial Attack against Pedestrian Multi-Object Tracking Trackers
Delv Lin
Qi Chen
Chengyu Zhou
Kun He
VOTAAML
190
1
0
17 Nov 2021
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 VehiclesUSENIX Security Symposium (USENIX Security), 2021
R. S. Hallyburton
Yupei Liu
Yulong Cao
Z. Morley Mao
Miroslav Pajic
AAML
231
71
0
13 Jun 2021
Temporally-Transferable Perturbations: Efficient, One-Shot Adversarial
  Attacks for Online Visual Object Trackers
Temporally-Transferable Perturbations: Efficient, One-Shot Adversarial Attacks for Online Visual Object Trackers
Krishna Kanth Nakka
Mathieu Salzmann
AAML
118
9
0
30 Dec 2020
Detecting Adversarial Patches with Class Conditional Reconstruction
  Networks
Detecting Adversarial Patches with Class Conditional Reconstruction Networks
Perry Deng
Mohammad Saidur Rahman
M. Wright
AAML
177
2
0
11 Nov 2020
ML-driven Malware that Targets AV Safety
ML-driven Malware that Targets AV SafetyDependable Systems and Networks (DSN), 2020
Saurabh Jha
Shengkun Cui
Subho Sankar Banerjee
Timothy Tsai
Zbigniew T. Kalbarczyk
Ravishankar Iyer
AAML
153
29
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
143
8
0
25 Jan 2020
1