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There is a growing interest in integrating Large Language Models (LLMs) with autonomous driving (AD) systems.
CARLA: An open urban driving simulator
Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, and Vladlen Koltun · 2017
Earlier work this paper cites.
Robust physical-world attacks on machine learning models
Ivan Evtimov, Kevin Eykholt, Earlence Fernandes, Tadayoshi Kohno, Bo Li, Atul Prakash, Amir Rahmati, and Dawn Song · 2017
Earlier work this paper cites.
Robust physical-world attacks on deep learning visual classification
Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Chaowei Xiao, Atul Prakash, Tadayoshi Kohno, and Dawn Song · 2018
Earlier work this paper cites.
Spoofing attack using bus-off attacks against a specific ecu of the can bus
Kazuki Iehira, Hiroyuki Inoue, and Kenji Ishida · 2018
Earlier work this paper cites.
Electromagnetic induction attacks against embedded systems
Jayaprakash Selvaraj, Gökçen Yılmaz Dayanıklı, Neelam Prabhu Gaunkar, David Ware, Ryan M Gerdes, and Mani Mina · 2018
Earlier work this paper cites.
Physical adversarial examples for object detectors
Dawn Song, Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Florian Tramer, Atul Prakash, and Tadayoshi Kohno · 2018
Earlier work this paper cites.
Invisible mask: Practical attacks on face recognition with infrared
Zhe Zhou, Di Tang, Xiaofeng Wang, Weili Han, Xiangyu Liu, and Kehuan Zhang · 2018
Earlier work this paper cites.
Adversarial sensor attack on lidar-based perception in autonomous driving
Yulong Cao, Chaowei Xiao, Benjamin Cyr, Yimeng Zhou, Won Park, Sara Rampazzi, Qi Alfred Chen, Kevin Fu, and Z Morley Mao · 2019
Earlier work this paper cites.
Scenic: a language for scenario specification and scene generation
Daniel J Fremont, Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Alberto L Sangiovanni-Vincentelli, and Sanjit A Seshia · 2019
Earlier work this paper cites.
Seeing isn’t believing: Towards more robust adversarial attack against real world object detectors
Yue Zhao, Hong Zhu, Ruigang Liang, Qintao Shen, Shengzhi Zhang, and Kai Chen · 2019
Earlier work this paper cites.
Universal physical camouflage attacks on object detectors
Lifeng Huang, Chengying Gao, Yuyin Zhou, Cihang Xie, Alan L Yuille, Changqing Zou, and Ning Liu · 2020
Earlier work this paper cites.
Fooling detection alone is not enough: Adversarial attack against multiple object tracking
Yunhan Jia Jia, Yantao Lu, Junjie Shen, Qi Alfred Chen, Hao Chen, Zhenyu Zhong, and Tao Wei Wei · 2020
Earlier work this paper cites.
Av-fuzzer: Finding safety violations in autonomous driving systems
Guanpeng Li, Yiran Li, Saurabh Jha, Timothy Tsai, Michael Sullivan, Siva Kumar Sastry Hari, Zbigniew Kalbarczyk, and Ravishankar Iyer · 2020
Earlier work this paper cites.
{ \{ GhostImage } \} : Remote perception attacks against camera-based image classification systems
Yanmao Man, Ming Li, and Ryan Gerdes · 2020
Earlier work this paper cites.
Phantom of the adas: Securing advanced driver-assistance systems from split-second phantom attacks
Ben Nassi, Yisroel Mirsky, Dudi Nassi, Raz Ben-Netanel, Oleg Drokin, and Yuval Elovici · 2020
Earlier work this paper cites.
Towards robust lidar-based perception in autonomous driving: General black-box adversarial sensor attack and countermeasures
Jiachen Sun, Yulong Cao, Qi Alfred Chen, and Z Morley Mao · 2020
Earlier work this paper cites.
Invisible for both camera and lidar: Security of multi-sensor fusion based perception in autonomous driving under physical-world attacks
Yulong Cao, Ningfei Wang, Chaowei Xiao, Dawei Yang, Jin Fang, Ruigang Yang, Qi Alfred Chen, Mingyan Liu, and Bo Li · 2021
Earlier work this paper cites.
Invisible for both camera and lidar: Security of multi-sensor fusion based perception in autonomous driving under physical-world attacks
Yulong Cao, Ningfei Wang, Chaowei Xiao, Dawei Yang, Jin Fang, Ruigang Yang, Qi Alfred Chen, Mingyan Liu, and Bo Li · 2021
Earlier work this paper cites.
Poltergeist: Acoustic adversarial machine learning against cameras and computer vision
Xiaoyu Ji, Yushi Cheng, Yuepeng Zhang, Kai Wang, Chen Yan, Wenyuan Xu, and Kevin Fu · 2021
Earlier work this paper cites.
They see me rollin’: Inherent vulnerability of the rolling shutter in cmos image sensors
Sebastian Köhler, Giulio Lovisotto, Simon Birnbach, Richard Baker, and Ivan Martinovic · 2021
Earlier work this paper cites.
Signal injection attacks against ccd image sensors
Sebastian Köhler, Richard Baker, and Ivan Martinovic · 2022
Earlier work this paper cites.
Physical layer data manipulation attacks on the can bus
Abdullah Zubair Mohammed, Yanmao Man, Ryan Gerdes, Ming Li, and Z Berkay Celik · 2022
Cited alongside, same era.
Drivetruth: Automated autonomous driving dataset generation for security applications
Raymond Muller · 2022
Cited alongside, same era.
Physical hijacking attacks against object trackers
Raymond Muller, Yanmao Man, Z Berkay Celik, Ming Li, and Ryan Gerdes · 2022
Cited alongside, same era.
Challenging big-bench tasks and whether chain-of-thought can solve them
Mirac Suzgun, Nathan Scales, Nathanael Schärli, Sebastian Gehrmann, Yi Tay, Hyung Won Chung, Aakanksha Chowdhery, Quoc V Le, Ed H Chi, Denny Zhou, et al · 2022
Cited alongside, same era.
Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al · 2022
Cited alongside, same era.
Languagempc: Large language models as decision makers for autonomous driving
Hao Sha, Yao Mu, Yuxuan Jiang, Li Chen, Chenfeng Xu, Ping Luo, Shengbo Eben Li, Masayoshi Tomizuka, Wei Zhan, and Mingyu Ding · 2023
Later among the works it cites.
Llm-assist: Enhancing closed-loop planning with language-based reasoning
SP Sharan, Francesco Pittaluga, Vijay Kumar B G, and Manmohan Chandraker · 2023
Later among the works it cites.
Automatic prompt augmentation and selection with chain-of-thought from labeled data
KaShun Shum, Shizhe Diao, and Tong Zhang · 2023
Later among the works it cites.
Drivelm: Driving with graph visual question answering
Chonghao Sima, Katrin Renz, Kashyap Chitta, Li Chen, Hanxue Zhang, Chengen Xie, Ping Luo, Andreas Geiger, and Hongyang Li · 2023
Later among the works it cites.
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On adversarial robustness of trajectory prediction for autonomous vehicles
Qingzhao Zhang, Shengtuo Hu, Jiachen Sun, Qi Alfred Chen, and Z Morley Mao · 2022
Cited alongside, same era.
A survey on adversarial attacks and defenses for object detection and their applications in autonomous vehicles
Abdollah Amirkhani, Mohammad Parsa Karimi, and Amin Banitalebi-Dehkordi · 2023
Cited alongside, same era.
(ab) using images and sounds for indirect instruction injection in multi-modal llms
Eugene Bagdasaryan, Tsung-Yin Hsieh, Ben Nassi, and Vitaly Shmatikov · 2023
Cited alongside, same era.
Rt-2: Vision-language-action models transfer web knowledge to robotic control
Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Xi Chen, Krzysztof Choromanski, Tianli Ding, Danny Driess, Avinava Dubey, Chelsea Finn, et al · 2023
Cited alongside, same era.
Av-deepfake1m: A large-scale llm-driven audio-visual deepfake dataset
Zhixi Cai, Shreya Ghosh, Aman Pankaj Adatia, Munawar Hayat, Abhinav Dhall, and Kalin Stefanov · 2023
Cited alongside, same era.
You can’t see me: Physical removal attacks on { \{ LiDAR-based } \} autonomous vehicles driving frameworks
Yulong Cao, S Hrushikesh Bhupathiraju, Pirouz Naghavi, Takeshi Sugawara, Z Morley Mao, and Sara Rampazzi · 2023
Cited alongside, same era.
Typefly: Flying drones with large language model
Guojun Chen, Xiaojing Yu, and Lin Zhong · 2023
Cited alongside, same era.
Discovering adversarial driving maneuvers against autonomous vehicles
Ruoyu Song, Muslum Ozgur Ozmen, Hyungsub Kim, Raymond Muller, Z Berkay Celik, and Antonio Bianchi · 2023
Later among the works it cites.
Wenhai Wang, Jiangwei Xie, ChuanYang Hu, Haoming Zou, Jianan Fan, Wenwen Tong, Yang Wen, Silei Wu, Hanming Deng, Zhiqi Li, et al · 2023
Later among the works it cites.
Empowering autonomous driving with large language models: A safety perspective
Yixuan Wang, Ruochen Jiao, Chengtian Lang, Sinong Simon Zhan, Chao Huang, Zhaoran Wang, Zhuoran Yang, and Qi Zhu · 2023
Later among the works it cites.
Dilu: A knowledge-driven approach to autonomous driving with large language models
Licheng Wen, Daocheng Fu, Xin Li, Xinyu Cai, Tao Ma, Pinlong Cai, Min Dou, Botian Shi, Liang He, and Yu Qiao · 2023
Later among the works it cites.
Tidybot: Personalized robot assistance with large language models
Jimmy Wu, Rika Antonova, Adam Kan, Marion Lepert, Andy Zeng, Shuran Song, Jeannette Bohg, Szymon Rusinkiewicz, and Thomas Funkhouser · 2023
Later among the works it cites.
Wip: A first look at employing large multimodal models against autonomous vehicle attacks
Mohammed Aldeen, Pedram MohajerAnsari, Jin Ma, Mashrur Chowdhury, Long Cheng, and Mert D Pesé · 2024
Closest in time.
Adversarial attacks and countermeasures on image classification-based deep learning models in autonomous driving systems: A systematic review
Bakary Badjie, José Cecílio, and Antonio Casimiro · 2024
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https://carla.readthedocs.io/en/latest/core_map , 2021
CARLA weather · 2024
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A survey on multimodal large language models for autonomous driving
Can Cui, Yunsheng Ma, Xu Cao, Wenqian Ye, Yang Zhou, Kaizhao Liang, Jintai Chen, Juanwu Lu, Zichong Yang, Kuei-Da Liao, et al · 2024
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Drive like a human: Rethinking autonomous driving with large language models
Daocheng Fu, Xin Li, Licheng Wen, Min Dou, Pinlong Cai, Botian Shi, and Yu Qiao · 2024
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Strengthening llm trust boundaries: A survey of prompt injection attacks surender suresh kumar dr. ml cummings dr. alexander stimpson
Surender Suresh Kumar, ML Cummings, and Alexander Stimpson · 2024
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Dtllm-vlt: Diverse text generation for visual language tracking based on llm
Xuchen Li, Xiaokun Feng, Shiyu Hu, Meiqi Wu, Dailing Zhang, Jing Zhang, and Kaiqi Huang · 2024
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A survey of attacks on large vision-language models: Resources, advances, and future trends
Daizong Liu, Mingyu Yang, Xiaoye Qu, Pan Zhou, Wei Hu, and Yu Cheng · 2024
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A liver cancer question-answering system based on next-generation intelligence and the large model med-palm 2
Jili Qian, Zhengyu Jin, Quan Zhang, Guoqing Cai, and Beichang Liu · 2024
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Hanlin Tian, Kethan Reddy, Yuxiang Feng, Mohammed Quddus, Yiannis Demiris, and Panagiotis Angeloudis · 2024
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Vision language models in autonomous driving: A survey and outlook
Xingcheng Zhou, Mingyu Liu, Ekim Yurtsever, Bare Luka Zagar, Walter Zimmer, Hu Cao, and Alois C Knoll · 2024
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