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Vision-language models (VLMs) have significantly advanced autonomous driving (AD) by enhancing reasoning capabilities.
Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli · 2004
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Explaining and harnessing adversarial examples
Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy · 2014
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Word2vec
Kenneth Ward Church · 2017
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Carla: An open urban driving simulator
Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, and Vladlen Koltun · 2017
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Towards deep learning models resistant to adversarial attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, and Adrian Vladu · 2017
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Transferable adversarial attacks for image and video object detection
Xingxing Wei, Siyuan Liang, Ning Chen, and Xiaochun Cao · 2018
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Perceptual-sensitive gan for generating adversarial patches
Aishan Liu, Xianglong Liu, Jiaxin Fan, Yuqing Ma, Anlan Zhang, Huiyuan Xie, and Dacheng Tao · 2019
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Efficient adversarial attacks for visual object tracking
Siyuan Liang, Xingxing Wei, Siyuan Yao, and Xiaochun Cao · 2020
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Generate more imperceptible adversarial examples for object detection
Siyuan Liang, Xingxing Wei, and Xiaochun Cao · 2021
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Training robust deep neural networks via adversarial noise propagation
Aishan Liu, Xianglong Liu, Hang Yu, Chongzhi Zhang, Qiang Liu, and Dacheng Tao · 2021
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Poisoning attack against estimating from pairwise comparisons
Ke Ma, Qianqian Xu, Jinshan Zeng, Xiaochun Cao, and Qingming Huang · 2021
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Dirty road can attack: Security of deep learning based automated lane centering under
Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jia, Xue Lin, and Qi Alfred Chen · 2021
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Dual attention suppression attack: Generate adversarial camouflage in physical world
Jiakai Wang, Aishan Liu, Zixin Yin, Shunchang Liu, Shiyu Tang, and Xianglong Liu · 2021
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Interpreting and improving adversarial robustness of deep neural networks with neuron sensitivity
Chongzhi Zhang, Aishan Liu, Xianglong Liu, Yitao Xu, Hang Yu, Yuqing Ma, and Tianlin Li · 2021
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Harnessing perceptual adversarial patches for crowd counting
Shunchang Liu, Jiakai Wang, Aishan Liu, Yingwei Li, Yijie Gao, Xianglong Liu, and Dacheng Tao · 2022
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A tale of hodgerank and spectral method: Target attack against rank aggregation is the fixed point of adversarial game
Ke Ma, Qianqian Xu, Jinshan Zeng, Guorong Li, Xiaochun Cao, and Qingming Huang · 2022
Cited alongside, same era.
Towards adversarial attack on vision-language pre-training models
Jiaming Zhang, Qi Yi, and Jitao Sang · 2022
Cited alongside, same era.
Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
Cited alongside, same era.
Image hijacks: Adversarial images can control generative models at runtime
Luke Bailey, Euan Ong, Stuart Russell, and Scott Emmons · 2023
Cited alongside, same era.
Multimodal-gpt: A vision and language model for dialogue with humans
Benchmarking the physical-world adversarial robustness of vehicle detection
Tianyuan Zhang, Yisong Xiao, Xiaoya Zhang, Hao Li, and Lu Wang · 2023
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Advclip: Downstream-agnostic adversarial examples in multimodal contrastive learning
Ziqi Zhou, Shengshan Hu, Minghui Li, Hangtao Zhang, Yechao Zhang, and Hai Jin · 2023
Later among the works it cites.
Minigpt-4: Enhancing vision-language understanding with advanced large language models
Deyao Zhu, Jun Chen, Xiaoqian Shen, Xiang Li, and Mohamed Elhoseiny · 2023
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Driving with llms: Fusing object-level vector modality for explainable autonomous driving
Long Chen, Oleg Sinavski, Jan Hünermann, Alice Karnsund, Andrew James Willmott, Danny Birch, Daniel Maund, and Jamie Shotton · 2024
Closest in time.
Detecting hallucinations in large language models using semantic entropy
Sebastian Farquhar, Jannik Kossen, Lorenz Kuhn, and Yarin Gal · 2024
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Tao Gong, Chengqi Lyu, Shilong Zhang, Yudong Wang, Miao Zheng, Qian Zhao, Kuikun Liu, Wenwei Zhang, Ping Luo, and Kai Chen · 2023
Cited alongside, same era.
A comprehensive evaluation framework for deep model robustness
Jun Guo, Wei Bao, Jiakai Wang, Yuqing Ma, Xinghai Gao, Gang Xiao, Aishan Liu, Jian Dong, Xianglong Liu, and Wenjun Wu · 2023
Cited alongside, same era.
Generating transferable 3d adversarial point cloud via random perturbation factorization
Bangyan He, Jian Liu, Yiming Li, Siyuan Liang, Jingzhi Li, Xiaojun Jia, and Xiaochun Cao · 2023
Cited alongside, same era.
Exploring the physical-world adversarial robustness of vehicle detection
Wei Jiang, Tianyuan Zhang, Shuangcheng Liu, Weiyu Ji, Zichao Zhang, and Gang Xiao · 2023
Cited alongside, same era.
Towards benchmarking and assessing visual naturalness of physical world adversarial attacks
Simin Li, Shuning Zhang, Gujun Chen, Dong Wang, Pu Feng, Jiakai Wang, Aishan Liu, Xin Yi, and Xianglong Liu · 2023
Cited alongside, same era.
Badclip: Dual-embedding guided backdoor attack on multimodal contrastive learning
Siyuan Liang, Mingli Zhu, Aishan Liu, Baoyuan Wu, Xiaochun Cao, and Ee-Chien Chang · 2023
Cited alongside, same era.
Dolphins: Multimodal language model for driving
Yingzi Ma, Yulong Cao, Jiachen Sun, Marco Pavone, and Chaowei Xiao · 2023
Cited alongside, same era.
Gpt-driver: Learning to drive with gpt
Jiageng Mao, Yuxi Qian, Junjie Ye, Hang Zhao, and Yue Wang · 2023
Cited alongside, same era.
Closest in time.
Robuste2e: Exploring the robustness of end-to-end autonomous driving
Wei Jiang, Lu Wang, Tianyuan Zhang, Yuwei Chen, Jian Dong, Wei Bao, Zichao Zhang, and Qiang Fu · 2024
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Visual instruction tuning
Haotian Liu, Chunyuan Li, Qingyang Wu, and Yong Jae Lee · 2024
Closest in time.
Hide in thicket: Generating imperceptible and rational adversarial perturbations on 3d point clouds
Tianrui Lou, Xiaojun Jia, Jindong Gu, Li Liu, Siyuan Liang, Bangyan He, and Xiaochun Cao · 2024
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Sequential manipulation against rank aggregation: theory and algorithm
Ke Ma, Qianqian Xu, Jinshan Zeng, Wei Liu, Xiaochun Cao, Yingfei Sun, and Qingming Huang · 2024
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Pixloop, 2024
PIX Moving · 2024
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Lmdrive: Closed-loop end-to-end driving with large language models
Hao Shao, Yuxuan Hu, Letian Wang, Guanglu Song, Steven L Waslander, Yu Liu, and Hongsheng Li · 2024
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Vlattack: Multimodal adversarial attacks on vision-language tasks via pre-trained models
Ziyi Yin, Muchao Ye, Tianrong Zhang, Tianyu Du, Jinguo Zhu, Han Liu, Jinghui Chen, Ting Wang, and Fenglong Ma · 2024
Closest in time.
On evaluating adversarial robustness of large vision-language models
Yunqing Zhao, Tianyu Pang, Chao Du, Xiao Yang, Chongxuan Li, Ngai-Man Man Cheung, and Min Lin · 2024
Closest in time.
Boosting transferability in vision-language attacks via diversification along the intersection region of adversarial trajectory
Sensen Gao, Xiaojun Jia, Xuhong Ren, Ivor Tsang, and Qing Guo · 2025
Closest in time.