└── README.md /README.md: -------------------------------------------------------------------------------- 1 | # A Paper List of Adversarial Attack on 3D Object Detection 2 | 3 | 4 | 5 | ## 2021 6 | 7 | - Cao, Yulong, et al. "**Invisible for both camera and lidar: Security of multi-sensor fusion based perception in autonomous driving under physical-world attacks**." *2021 IEEE Symposium on Security and Privacy (SP)*. IEEE, 2021. [pdf](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9519442) 8 | - Hau, Zhongyuan, et al. "**Object removal attacks on lidar-based 3d object detectors**." *arXiv preprint arXiv:2102.03722* (2021). [pdf](https://arxiv.org/abs/2102.03722) 9 | - Li, Yiming, et al. "**Fooling lidar perception via adversarial trajectory perturbation**." *arXiv preprint arXiv:2103.15326* (2021). [pdf](https://arxiv.org/abs/2103.15326) 10 | - Abdelfattah, Mazen, et al. "**Adversarial Attacks on Camera-LiDAR Models for 3D Car Detection**." *arXiv preprint arXiv:2103.09448* (2021). [pdf](https://arxiv.org/abs/2103.09448) 11 | - Yang, Kaichen, et al. "**Robust Roadside Physical Adversarial Attack Against Deep Learning in Lidar Perception Modules**." *Proceedings of the 2021 ACM Asia Conference on Computer and Communications Security*. 2021. [pdf](https://dl.acm.org/doi/abs/10.1145/3433210.3453106?casa_token=IT8ydN-V2j8AAAAA:qrp8t4lcnvl9ErVB1qK8dswYqcUMBJWW1Q2vl61yeWJynuwM287VDZ19Nx9RBoqKw7qO-9PbOodYAQ) 12 | - Abdelfattah, Mazen, et al. "**Towards Universal Physical Attacks On Cascaded Camera-Lidar 3D Object Detection Models**." *arXiv preprint arXiv:2101.10747* (2021). [pdf](https://arxiv.org/abs/2101.10747) 13 | - Park, Won, et al. "**Sensor Adversarial Traits: Analyzing Robustness of 3D Object Detection Sensor Fusion Models**." *2021 IEEE International Conference on Image Processing (ICIP)*. IEEE, 2021. [pdf]() 14 | - Liu, Bingyu, et al. "**Multi-view Correlation based Black-box Adversarial Attack for 3D Object Detection**." *Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining*. 2021. [pdf](https://dl.acm.org/doi/abs/10.1145/3447548.3467432?casa_token=25USgCzKRjMAAAAA:6wMaImk3bPoj5fD9hTUZ7BsmiKT_q8BMI25EUjUTZctjXJBAHGn3ZBis2B8qGjn4vAKJs0X_izDRjA) 15 | - Wang, Huiying, et al. "**Generating Adversarial Point Clouds on Multi-modal Fusion Based 3D Object Detection Model**." *International Conference on Information and Communications Security*. Springer, Cham, 2021. [pdf](https://link.springer.com/chapter/10.1007/978-3-030-86890-1_11) 16 | 17 | ## 2020 18 | 19 | - Tu, James, et al. "**Physically realizable adversarial examples for lidar object detection**." *Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition*. 2020. [pdf](https://openaccess.thecvf.com/content_CVPR_2020/html/Tu_Physically_Realizable_Adversarial_Examples_for_LiDAR_Object_Detection_CVPR_2020_paper.html) 20 | - Won Park, Q. Chen, Z. Mao, **Crafting Adversarial Examples on 3D Object Detection Sensor Fusion Models**, *Proceedings of CVPR 2020 Workshop on Adversarial Machine Learning in Computer Vision 2020.* [pdf](https://openaccess.thecvf.com/content_CVPR_2020/html/Tu_Physically_Realizable_Adversarial_Examples_for_LiDAR_Object_Detection_CVPR_2020_paper.html) 21 | - Jiachen Sun, Yulong Cao, Q. Chen, Z. Mao, **Towards Robust LiDAR-based Perception in Autonomous Driving**, *Proceedings of CVPR 2020 Workshop on Adversarial Machine Learning in Computer Vision 2020.* [pdf](https://adv-workshop-2020.github.io/short_papers/51.pdf) 22 | - Jiachen Sun, Yulong Cao, Qi Alfred Chen, and Z Morley Mao. 2020. **Towards robust lidar-based perception in autonomous driving: General black-box adversarial sensor attack and countermeasures.** In 29th {USENIX} Security Symposium ({USENIX} Security 20). 877–894. [pdf](https://www.usenix.org/conference/usenixsecurity20/presentation/sun) 23 | - Yiren Zhao, Ilia Shumailov, Robert Mullins, and Ross Anderson. **Nudge attacks on point-cloud dnns**. arXiv preprint arXiv:2011.11637, 2020. [pdf](https://arxiv.org/abs/2011.11637) 24 | - Cai, Mumuxin, et al. "**Adversarial point cloud perturbations to attack deep object detection models**." *2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)*. IEEE, 2020. [pdf](https://ieeexplore.ieee.org/abstract/document/9407842/) 25 | - Ren, Huali, and Teng Huang. "**Adversarial Example Attacks in the Physical World**." *International Conference on Machine Learning for Cyber Security*. Springer, Cham, 2020. [pdf](https://link.springer.com/chapter/10.1007/978-3-030-62460-6_51) 26 | - Cao, Yulong, et al. "**3D adversarial object against msf-based perception in autonomous driving**." *Proceedings of the 3rd Conference on Machine Learning and Systems*. 2020. [pdf](https://me.ningfei.org/paper/MLsys_demo.pdf) 27 | 28 | ## 2019 29 | 30 | - Jiancheng Yang, Qiang Zhang, Rongyao Fang, Bingbing Ni, Jinxian Liu, and Qi Tian. **Adversarial attack and defense on point sets**. arXiv preprint arXiv:1902.10899, 2019. 2 [pdf](https://arxiv.org/abs/1902.10899) 31 | - Xiang, Chong, Charles R. Qi, and Bo Li. "**Generating 3d adversarial point clouds**." *Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition*. 2019. [pdf](https://openaccess.thecvf.com/content_CVPR_2019/html/Xiang_Generating_3D_Adversarial_Point_Clouds_CVPR_2019_paper.html) 32 | - Zheng, Tianhang, et al. "**Pointcloud saliency maps**." *Proceedings of the IEEE/CVF International Conference on Computer Vision*. 2019. [pdf](https://openaccess.thecvf.com/content_ICCV_2019/html/Zheng_PointCloud_Saliency_Maps_ICCV_2019_paper.html) 33 | - Wicker, Matthew, and Marta Kwiatkowska. "**Robustness of 3d deep learning in an adversarial setting**." *Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition*. 2019. [pdf](https://openaccess.thecvf.com/content_CVPR_2019/html/Wicker_Robustness_of_3D_Deep_Learning_in_an_Adversarial_Setting_CVPR_2019_paper.html) 34 | - Liu, Daniel, Ronald Yu, and Hao Su. "**Adversarial point perturbations on 3d objects**." *arXiv e-prints* (2019): arXiv-1908. [pdf](https://ui.adsabs.harvard.edu/abs/2019arXiv190806062L/abstract) 35 | - Cao, Yulong, et al. "**Adversarial objects against lidar-based autonomous driving systems**." *arXiv preprint arXiv:1907.05418* (2019). [pdf](https://arxiv.org/abs/1907.05418) 36 | - Yulong Cao, Chaowei Xiao, Benjamin Cyr, Yimeng Zhou, Won Park, Sara Rampazzi, Qi Alfred Chen, Kevin Fu, and Zhuoqing Morley Mao. **Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving**. In Proceedings of the 26th ACM Conference on Computer and Communications Security (CCS’19), London, UK, November 2019 [pdf](https://dl.acm.org/doi/abs/10.1145/3319535.3339815) 37 | - Yuxin Wen, Jiehong Lin, Ke Chen, and Kui Jia. **Geometryaware generation of adversarial and cooperative point clouds**. CoRR, abs/1912.11171, 2019. [pdf](https://openreview.net/forum?id=Bklr0kBKvB) 38 | 39 | --------------------------------------------------------------------------------