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Runtime Stealthy Perception Attacks against DNN-based Adaptive Cruise Control Systems
ACM Asia Conference on Computer and Communications Security (AsiaCCS), 2023
18 July 2023
Xugui Zhou
Anqi Chen
Maxfield Kouzel
Haotian Ren
Morgan McCarty
Cristina Nita-Rotaru
H. Alemzadeh
AAML
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Papers citing
"Runtime Stealthy Perception Attacks against DNN-based Adaptive Cruise Control Systems"
37 / 37 papers shown
Revisiting Adversarial Perception Attacks and Defense Methods on Autonomous Driving Systems
Cheng Chen
Yuhong Wang
Nafis S Munir
Xiangwei Zhou
Xugui Zhou
AAML
270
2
0
14 May 2025
Safety Interventions against Adversarial Patches in an Open-Source Driver Assistance System
Dependable Systems and Networks (DSN), 2025
Cheng Chen
Grant Xiao
Daehyun Lee
Lishan Yang
E. Smirni
H. Alemzadeh
Xugui Zhou
AAML
256
1
0
26 Apr 2025
Dynamic Adversarial Attacks on Autonomous Driving Systems
Amirhosein Chahe
Chenan Wang
Abhishek S. Jeyapratap
Kaidi Xu
Lifeng Zhou
AAML
256
17
0
10 Dec 2023
PatchZero: Defending against Adversarial Patch Attacks by Detecting and Zeroing the Patch
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Ke Xu
Yao Xiao
Zhao-Heng Zheng
Kaijie Cai
Ramkant Nevatia
AAML
285
50
0
05 Jul 2022
Level 2 Autonomous Driving on a Single Device: Diving into the Devils of Openpilot
Li Chen
Tutian Tang
Zhitian Cai
Yang Li
Peng Wu
Guoying Gu
Jianping Shi
Junchi Yan
Yu Qiao
VLM
240
17
0
16 Jun 2022
Strategic Safety-Critical Attacks Against an Advanced Driver Assistance System
Dependable Systems and Networks (DSN), 2022
Xugui Zhou
Anna Schmedding
Haotian Ren
Lishan Yang
Philip Schowitz
E. Smirni
H. Alemzadeh
AAML
154
21
0
14 Apr 2022
A Formal Safety Characterization of Advanced Driver Assist Systems in the Car-Following Regime with Scenario-Sampling
IFAC-PapersOnLine (IFAC-PapersOnLine), 2022
Bowen Weng
Minghao Zhu
Keith A. Redmill
168
6
0
17 Feb 2022
Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection
Jiangjiang Liu
Alexander Levine
Chun Pong Lau
Ramalingam Chellappa
Soheil Feizi
AAML
312
116
0
08 Dec 2021
Jujutsu: A Two-stage Defense against Adversarial Patch Attacks on Deep Neural Networks
ACM Asia Conference on Computer and Communications Security (AsiaCCS), 2021
Zitao Chen
Pritam Dash
Karthik Pattabiraman
AAML
362
28
0
11 Aug 2021
Security Analysis of Camera-LiDAR Fusion Against Black-Box Attacks on Autonomous Vehicles
USENIX Security Symposium (USENIX Security), 2021
R. S. Hallyburton
Yupei Liu
Yulong Cao
Z. Morley Mao
Miroslav Pajic
AAML
304
72
0
13 Jun 2021
Spoofing Attacks Against Vehicular FMCW Radar
Journal of Cryptographic Engineering (JCE), 2021
Rony Komissarov
A. Wool
93
71
0
27 Apr 2021
Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems
AAAI Conference on Artificial Intelligence (AAAI), 2020
Yuzhe Ma
J. Sharp
Ruizhe Wang
Earlence Fernandes
Xiaojin Zhu
AAML
134
14
0
16 Dec 2020
Dynamic Adversarial Patch for Evading Object Detection Models
Shahar Hoory
T. Shapira
A. Shabtai
Yuval Elovici
AAML
178
51
0
25 Oct 2020
SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial Perturbations
USENIX Security Symposium (USENIX Security), 2020
Giulio Lovisotto
H.C.M. Turner
Ivo Sluganovic
Martin Strohmeier
Ivan Martinovic
AAML
302
118
0
08 Jul 2020
Drift with Devil: Security of Multi-Sensor Fusion based Localization in High-Level Autonomous Driving under GPS Spoofing (Extended Version)
Junjie Shen
Jun Yeon Won
Zeyuan Chen
Qi Alfred Chen
AAML
293
136
0
18 Jun 2020
Panda: Partitioned Data Security on Outsourced Sensitive and Non-sensitive Data
S. Mehrotra
Shantanu Sharma
J. Ullman
Dhrubajyoti Ghosh
Peeyush Gupta
138
49
0
13 May 2020
ML-driven Malware that Targets AV Safety
Dependable Systems and Networks (DSN), 2020
Saurabh Jha
Shengkun Cui
Subho Sankar Banerjee
Timothy Tsai
Zbigniew T. Kalbarczyk
Ravishankar Iyer
AAML
172
29
0
24 Apr 2020
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
International Conference on Machine Learning (ICML), 2020
Francesco Croce
Matthias Hein
AAML
714
2,190
0
03 Mar 2020
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors
European Conference on Computer Vision (ECCV), 2019
Zuxuan Wu
Ser-Nam Lim
L. Davis
Tom Goldstein
AAML
369
304
0
31 Oct 2019
ML-based Fault Injection for Autonomous Vehicles: A Case for Bayesian Fault Injection
Dependable Systems and Networks (DSN), 2019
Saurabh Jha
Subho Sankar Banerjee
Timothy Tsai
S. Hari
Michael B. Sullivan
Zbigniew T. Kalbarczyk
S. Keckler
Ravishankar Iyer
165
133
0
01 Jul 2019
On Physical Adversarial Patches for Object Detection
Mark Lee
Zico Kolter
AAML
192
193
0
20 Jun 2019
Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object Tracking
Yunhan Jia
Yantao Lu
Junjie Shen
Qi Alfred Chen
Zhenyu Zhong
Tao Wei
AAML
VOT
239
36
0
27 May 2019
Defending against Whitebox Adversarial Attacks via Randomized Discretization
Yuchen Zhang
Abigail Z. Jacobs
AAML
208
77
0
25 Mar 2019
Adversarial camera stickers: A physical camera-based attack on deep learning systems
International Conference on Machine Learning (ICML), 2019
Juncheng Billy Li
Frank R. Schmidt
J. Zico Kolter
AAML
505
189
0
21 Mar 2019
A Commute in Data: The comma2k19 Dataset
H. Schafer
Eder Santana
A. Haden
R. Biasini
3DV
131
82
0
14 Dec 2018
Experimental Resilience Assessment of An Open-Source Driving Agent
Pacific Rim International Symposium on Dependable Computing (PRDC), 2018
A. Rubaiyat
Yongming Qin
H. Alemzadeh
161
45
0
17 Jul 2018
DPatch: An Adversarial Patch Attack on Object Detectors
Xin Liu
Huanrui Yang
Ziwei Liu
Linghao Song
Hai Helen Li
Yiran Chen
AAML
ObjD
419
337
0
05 Jun 2018
CARLA: An Open Urban Driving Simulator
Alexey Dosovitskiy
G. Ros
Felipe Codevilla
Antonio M. López
V. Koltun
VLM
589
6,175
0
10 Nov 2017
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILM
OOD
1.6K
13,855
0
19 Jun 2017
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks
Weilin Xu
David Evans
Yanjun Qi
AAML
277
1,510
0
04 Apr 2017
Axiomatic Attribution for Deep Networks
Mukund Sundararajan
Ankur Taly
Qiqi Yan
OOD
FAtt
2.0K
7,205
0
04 Mar 2017
Towards the Science of Security and Privacy in Machine Learning
Nicolas Papernot
Patrick McDaniel
Arunesh Sinha
Michael P. Wellman
AAML
246
493
0
11 Nov 2016
A study of the effect of JPG compression on adversarial images
Gintare Karolina Dziugaite
Zoubin Ghahramani
Daniel M. Roy
AAML
253
587
0
02 Aug 2016
Adversarial examples in the physical world
International Conference on Learning Representations (ICLR), 2016
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
1.4K
6,466
0
08 Jul 2016
DeepFool: a simple and accurate method to fool deep neural networks
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
P. Frossard
AAML
806
5,263
0
14 Nov 2015
You Only Look Once: Unified, Real-Time Object Detection
Computer Vision and Pattern Recognition (CVPR), 2015
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
2.4K
43,029
0
08 Jun 2015
Explaining and Harnessing Adversarial Examples
International Conference on Learning Representations (ICLR), 2014
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
1.6K
21,166
0
20 Dec 2014
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