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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

Papers citing "Runtime Stealthy Perception Attacks against DNN-based Adaptive Cruise Control Systems"

37 / 37 papers shown

Title
Revisiting Adversarial Perception Attacks and Defense Methods on Autonomous Driving Systems Cheng Chen Yuhong Wang Nafis S Munir Xiangwei Zhou Xugui Zhou AAML 194 2 0 14 May 2025
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 202 1 0 26 Apr 2025
Dynamic Adversarial Attacks on Autonomous Driving Systems Amirhosein Chahe Chenan Wang Abhishek S. Jeyapratap Kaidi Xu Lifeng Zhou AAML 185 15 0 10 Dec 2023
PatchZero: Defending against Adversarial Patch Attacks by Detecting and Zeroing the PatchIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022 Ke Xu Yao Xiao Zhao-Heng Zheng Kaijie Cai Ramkant Nevatia AAML 234 49 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 194 16 0 16 Jun 2022
Strategic Safety-Critical Attacks Against an Advanced Driver Assistance SystemDependable Systems and Networks (DSN), 2022 Xugui Zhou Anna Schmedding Haotian Ren Lishan Yang Philip Schowitz E. Smirni H. Alemzadeh AAML 123 21 0 14 Apr 2022
A Formal Safety Characterization of Advanced Driver Assist Systems in the Car-Following Regime with Scenario-SamplingIFAC-PapersOnLine (IFAC-PapersOnLine), 2022 Bowen Weng Minghao Zhu Keith A. Redmill 128 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 203 114 0 08 Dec 2021
Jujutsu: A Two-stage Defense against Adversarial Patch Attacks on Deep Neural NetworksACM Asia Conference on Computer and Communications Security (AsiaCCS), 2021 Zitao Chen Pritam Dash Karthik Pattabiraman AAML 240 25 0 11 Aug 2021
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
Spoofing Attacks Against Vehicular FMCW RadarJournal of Cryptographic Engineering (JCE), 2021 Rony Komissarov A. Wool 72 67 0 27 Apr 2021
Sequential Attacks on Kalman Filter-based Forward Collision Warning SystemsAAAI Conference on Artificial Intelligence (AAAI), 2020 Yuzhe Ma J. Sharp Ruizhe Wang Earlence Fernandes Xiaojin Zhu AAML 124 14 0 16 Dec 2020
Dynamic Adversarial Patch for Evading Object Detection Models Shahar Hoory T. Shapira A. Shabtai Yuval Elovici AAML 145 50 0 25 Oct 2020
SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial PerturbationsUSENIX Security Symposium (USENIX Security), 2020 Giulio Lovisotto H.C.M. Turner Ivo Sluganovic Martin Strohmeier Ivan Martinovic AAML 230 115 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 236 133 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 123 46 0 13 May 2020
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
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacksInternational Conference on Machine Learning (ICML), 2020 Francesco Croce Matthias Hein AAML 584 2,139 0 03 Mar 2020
Making an Invisibility Cloak: Real World Adversarial Attacks on Object DetectorsEuropean Conference on Computer Vision (ECCV), 2019 Zuxuan Wu Ser-Nam Lim L. Davis Tom Goldstein AAML 273 302 0 31 Oct 2019
ML-based Fault Injection for Autonomous Vehicles: A Case for Bayesian Fault InjectionDependable Systems and Networks (DSN), 2019 Saurabh Jha Subho Sankar Banerjee Timothy Tsai S. Hari Michael B. Sullivan Zbigniew T. Kalbarczyk S. Keckler Ravishankar Iyer 143 130 0 01 Jul 2019
On Physical Adversarial Patches for Object Detection Mark Lee Zico Kolter AAML 157 192 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 189 36 0 27 May 2019
Defending against Whitebox Adversarial Attacks via Randomized Discretization Yuchen Zhang Abigail Z. Jacobs AAML 164 77 0 25 Mar 2019
Adversarial camera stickers: A physical camera-based attack on deep learning systemsInternational Conference on Machine Learning (ICML), 2019 Juncheng Billy Li Frank R. Schmidt J. Zico Kolter AAML 445 188 0 21 Mar 2019
A Commute in Data: The comma2k19 Dataset H. Schafer Eder Santana A. Haden R. Biasini 3DV 112 81 0 14 Dec 2018
Experimental Resilience Assessment of An Open-Source Driving AgentPacific Rim International Symposium on Dependable Computing (PRDC), 2018 A. Rubaiyat Yongming Qin H. Alemzadeh 130 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 257 333 0 05 Jun 2018
CARLA: An Open Urban Driving Simulator Alexey Dosovitskiy G. Ros Felipe Codevilla Antonio M. López V. Koltun VLM 451 6,006 0 10 Nov 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 1.1K 13,551 0 19 Jun 2017
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks Weilin Xu David Evans Yanjun Qi AAML 208 1,487 0 04 Apr 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 1.2K 6,972 0 04 Mar 2017
Towards the Science of Security and Privacy in Machine Learning Nicolas Papernot Patrick McDaniel Arunesh Sinha Michael P. Wellman AAML 192 487 0 11 Nov 2016
A study of the effect of JPG compression on adversarial images Gintare Karolina Dziugaite Zoubin Ghahramani Daniel M. Roy AAML 215 581 0 02 Aug 2016
Adversarial examples in the physical worldInternational Conference on Learning Representations (ICLR), 2016 Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 1.3K 6,378 0 08 Jul 2016
DeepFool: a simple and accurate method to fool deep neural networks Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi P. Frossard AAML 614 5,216 0 14 Nov 2015
You Only Look Once: Unified, Real-Time Object DetectionComputer Vision and Pattern Recognition (CVPR), 2015 Joseph Redmon S. Divvala Ross B. Girshick Ali Farhadi ObjD 1.3K 41,842 0 08 Jun 2015
Explaining and Harnessing Adversarial ExamplesInternational Conference on Learning Representations (ICLR), 2014 Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 1.2K 20,799 0 20 Dec 2014