A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles | Paper Citation Record

Observation a0ab0fa8-ddbf-4d6f-9f35-1821624cde0e · outbound

This paper cites Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Miti- gations,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Miti- gations,

Reference 1

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Observation b2e6acb9-37b5-49dc-bb81-75f39e490df2 · outbound

This paper cites Poisoning and evasion attacks against deep learning algorithms in autonomous vehicles,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Poisoning and evasion attacks against deep learning algorithms in autonomous vehicles,

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Observation fb77444d-24a1-4585-9b4d-4f16f0405e4e · outbound

This paper cites Definitions for terms related to driving automation systems for on-road motor vehicles. Publication J3016 202104,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Definitions for terms related to driving automation systems for on-road motor vehicles. Publication J3016 202104,

Reference 3

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Observation 539cb765-c68a-45b7-b505-d150d40aba81 · outbound

This paper cites Level-5 autonomous driving—are we there yet? A review of research literature,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Level-5 autonomous driving—are we there yet? A review of research literature,

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Observation 9762d31f-a6a2-4f73-9e38-4e82780f8f7f · outbound

This paper cites A review of sensor technologies for perception in automated driving,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles A review of sensor technologies for perception in automated driving,

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Observation 6ca8b155-4043-4325-9f76-338655420028 · outbound

This paper cites Introduction to lidar,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Introduction to lidar,

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Observation d6139b7c-7344-4345-a4c6-50cd39df10e4 · outbound

This paper cites Review of ladar: a historic, yet emerging, sensor technology with rich phenomenology,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Review of ladar: a historic, yet emerging, sensor technology with rich phenomenology,

Reference 7

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Observation 596c05a7-720c-4c8f-9b51-17f85fbe3ccc · outbound

This paper cites LiDAR remote sensing,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles LiDAR remote sensing,

Reference 8

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Observation 8181bbc8-65da-4870-91ce-79bf6ed124d3 · outbound

This paper cites Lidar for autonomous driving: The princi- ples, challenges, and trends for automotive lidar and perception systems,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Lidar for autonomous driving: The princi- ples, challenges, and trends for automotive lidar and perception systems,

Reference 9

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Observation c37f69e6-d2a7-47c3-9c04-8dfe4a440aee · outbound

This paper cites Positioning and perception in LIDAR point clouds,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Positioning and perception in LIDAR point clouds,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:15.851078Z

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Observation aaecbcd7-9937-48a0-8306-21e6188a7f3a · outbound

This paper cites Deep learning on point clouds and its application: A survey,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Deep learning on point clouds and its application: A survey,

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Observation 9185ff14-d5e3-4f14-8e14-bfb0f5158163 · outbound

This paper cites Deep learning for 3d point clouds: A survey,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Deep learning for 3d point clouds: A survey,

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Observation 4f6508c9-3c79-4f12-9407-6234b0b2b03d · outbound

This paper cites A survey on deep-learning-based lidar 3d object detection for autonomous driving,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles A survey on deep-learning-based lidar 3d object detection for autonomous driving,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:15.864783Z

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Observation b843be81-545b-4e78-9b33-386eec60ae9a · outbound

This paper cites A Survey of Robust 3D Object Detection Methods in Point Clouds.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles A Survey of Robust 3D Object Detection Methods in Point Clouds

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Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:15.869063Z

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Observation 507d9837-9def-47c2-9c52-473fca26a379 · outbound

This paper cites A survey on misbehavior detection for connected and autonomous vehicles,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles A survey on misbehavior detection for connected and autonomous vehicles,

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Observation 2f33a635-2bfc-4fe3-93c9-0c7a35cab5cd · outbound

This paper cites LiDAR based perception system: Pioneer technology for safety driving,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles LiDAR based perception system: Pioneer technology for safety driving,

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Observation e0c9e5a1-25a0-4bd2-a3ba-664605b8f9b6 · outbound

This paper cites Autonomous vehicle self-localization based on abstract map and multi-channel LiDAR in urban area,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Autonomous vehicle self-localization based on abstract map and multi-channel LiDAR in urban area,

Reference 17

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Observation 81448c6a-7b01-46ab-afdc-411f7cfe9ec3 · outbound

This paper cites Potential use of near, mid and far infrared laser diodes in automotive LIDAR applications,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Potential use of near, mid and far infrared laser diodes in automotive LIDAR applications,

Reference 18

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Observation e19c0ad6-935f-49a6-ae9b-164a57659129 · outbound

This paper cites Pointpillars: Fast encoders for object detection from point clouds,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Pointpillars: Fast encoders for object detection from point clouds,

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Observation 09151f14-b9a5-4c64-8665-8da7eb6161cf · outbound

This paper cites V oxelnet: End-to-end learning for point cloud based 3d object detection,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles V oxelnet: End-to-end learning for point cloud based 3d object detection,

Reference 20

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Observation 42df1db7-f88c-4449-98af-015d9b91bcf8 · outbound

This paper cites Second: Sparsely embedded convolutional detection,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Second: Sparsely embedded convolutional detection,

Reference 21

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Observation 53c9a427-6486-4b50-a8a1-c803b7993de6 · outbound

This paper cites Detection, classification and tracking of moving objects in a 3D environment,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Detection, classification and tracking of moving objects in a 3D environment,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:15.906160Z

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Observation 37f6f7e7-8b19-4c5e-984e-3b7bf30d8d54 · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:15.910523Z

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Observation 68045dab-2b27-4523-8d4b-58575c2d1ca9 · outbound

This paper cites Generating 3d adversarial point clouds,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Generating 3d adversarial point clouds,

Reference 24

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Observation 69c2f191-13aa-4a78-ae37-7b666669f544 · outbound

This paper cites Adversarial attacks against lidar semantic segmentation in autonomous driving,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Adversarial attacks against lidar semantic segmentation in autonomous driving,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:15.919576Z

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Observation 4593d992-c671-4a77-8e12-cbcc010762dc · outbound

This paper cites Exploring Adversarial Robustness of Multi- sensor Perception Systems in Self Driving,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Exploring Adversarial Robustness of Multi- sensor Perception Systems in Self Driving,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:15.923818Z

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Observation 3e53d41d-b47c-4ed6-a176-02d668409aca · outbound

This paper cites Deep learning on 3D point clouds,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Deep learning on 3D point clouds,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:15.928305Z

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Observation 3a38ddaa-7a0c-468c-b356-b8e9b79de5c0 · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:15.932493Z

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Observation f56a3692-c349-455d-b281-be8635efa1e9 · outbound

This paper cites Frustum pointnets for 3d object detection from rgb-d data,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Frustum pointnets for 3d object detection from rgb-d data,

Reference 29

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Observation d7ee6082-530d-47c5-8118-a02d697c9d65 · outbound

This paper cites Frustum convnet: Sliding frustums to aggregate local point-wise features for amodal 3d object detection.,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Frustum convnet: Sliding frustums to aggregate local point-wise features for amodal 3d object detection.,

Reference 30

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Observation 9c6b7359-5b47-49e2-bc66-83ee3a87361e · outbound

This paper cites Pixor: Real-time 3d object detection from point clouds,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Pixor: Real-time 3d object detection from point clouds,

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Observation 4992177c-6e8d-4fde-a313-4a6c116898ee · outbound

This paper cites Hdnet: Exploiting hd maps for 3d object detection,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Hdnet: Exploiting hd maps for 3d object detection,

Reference 32

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Observation c447601f-2b71-42ec-9f5c-7d98b9c82ae3 · outbound

This paper cites Pointrcnn: 3d object proposal generation and detection from point cloud,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Pointrcnn: 3d object proposal generation and detection from point cloud,

Reference 33

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Observation f61f13d5-d6ba-42b5-8507-2d64e8c7c1df · outbound

This paper cites MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird’s Eye View Maps,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird’s Eye View Maps,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:15.959294Z

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Observation 07fce449-ea42-4d59-8584-87102d686a08 · outbound

This paper cites Joint 3d proposal generation and object detection from view aggregation,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Joint 3d proposal generation and object detection from view aggregation,

Reference 35

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Observation 779087fa-1b7b-4f32-ba04-b44a363e60a3 · outbound

This paper cites Epnet: Enhancing point features with image semantics for 3d object detection,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Epnet: Enhancing point features with image semantics for 3d object detection,

Reference 36

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Observation 3d6c5242-eda0-4c42-99d3-87a85504e0eb · outbound

This paper cites An lstm approach to temporal 3d object detection in 17 lidar point clouds,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles An lstm approach to temporal 3d object detection in 17 lidar point clouds,

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Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:15.973123Z

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Observation cf7dc6ee-cfc1-4a16-b218-d7a3fef81534 · outbound

This paper cites 3DYOLO: Real-time 3D Object Detection in 3D Point Clouds for Autonomous Driving,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles 3DYOLO: Real-time 3D Object Detection in 3D Point Clouds for Autonomous Driving,

Reference 38

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Observation 4225cec6-10ec-4a6f-b828-9a353546e341 · outbound

This paper cites Ad- versarial Classification,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Ad- versarial Classification,

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Observation 43fe5563-a7a7-4407-bcae-ff7a1854e418 · outbound

This paper cites Attack models and scenarios for networked control systems,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Attack models and scenarios for networked control systems,

Reference 40

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Observation 54b86098-56cb-4c21-bc5f-a3b5a3975fa3 · outbound

This paper cites Potential cyberattacks on automated vehicles,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Potential cyberattacks on automated vehicles,

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Observation 0c6ea8e8-de8b-4efb-8950-fe81d1467778 · outbound

This paper cites Bibli- ographical review on cyber attacks from a control oriented perspective,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Bibli- ographical review on cyber attacks from a control oriented perspective,

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Observation 310117d6-d34d-4c25-8140-8f12d6a70d79 · outbound

This paper cites A survey on authentication schemes in V ANETs for secured communication,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles A survey on authentication schemes in V ANETs for secured communication,

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Observation 299f81d6-643f-432d-b576-d0ebaaa89336 · outbound

This paper cites Cybersecurity attacks in vehicular sensors,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Cybersecurity attacks in vehicular sensors,

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Observation 1a5c1a18-a6cc-42be-be8e-604705a58a93 · outbound

This paper cites Autonomous Vehicles: So- phisticated Attacks, Safety Issues, Challenges, Open Topics, Blockchain, and Future Directions,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Autonomous Vehicles: So- phisticated Attacks, Safety Issues, Challenges, Open Topics, Blockchain, and Future Directions,

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Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.009387Z

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Observation 40fcb8ba-9222-4053-9e79-ff79d6a90823 · outbound

This paper cites Cybersecurity of Autonomous Vehicles: A Systematic Literature Review of Adversarial Attacks and Defense Models,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Cybersecurity of Autonomous Vehicles: A Systematic Literature Review of Adversarial Attacks and Defense Models,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.013721Z

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Observation 008f8ecd-d14e-488c-a617-61fbd076d8ed · outbound

This paper cites Remote attacks on automated vehicles sensors: Experiments on camera and lidar,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Remote attacks on automated vehicles sensors: Experiments on camera and lidar,

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Observation 1a638a8b-a2d7-48e3-afd6-34381994f7d5 · outbound

This paper cites You can’t see me: physical removal attacks on LiDAR- based autonomous vehicles driving frameworks,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles You can’t see me: physical removal attacks on LiDAR- based autonomous vehicles driving frameworks,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.023339Z

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Observation 2d8f765a-02ed-40ae-bb1d-0b211c639396 · outbound

This paper cites Shadow- catcher: Looking into shadows to detect ghost objects in autonomous vehicle 3d sensing,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Shadow- catcher: Looking into shadows to detect ghost objects in autonomous vehicle 3d sensing,

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Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.027890Z

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Observation 1954f132-8993-469e-9e62-47cbd97af944 · outbound

This paper cites Adversarial sensor attack on lidar-based perception in autonomous driving,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Adversarial sensor attack on lidar-based perception in autonomous driving,

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Observation 3ca0c244-e8f4-4a83-9d09-f9c41717f1ce · outbound

This paper cites Towards robust lidar- based perception in autonomous driving: General black-box adversarial sensor attack and countermeasures,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Towards robust lidar- based perception in autonomous driving: General black-box adversarial sensor attack and countermeasures,

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Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.041864Z

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Observation d76a7e5d-7257-4279-a4b8-6eb9efce36f2 · outbound

This paper cites Illusion and dazzle: Adversarial optical channel exploits against lidars for automotive applications,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Illusion and dazzle: Adversarial optical channel exploits against lidars for automotive applications,

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Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.046446Z

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Observation 7b7539ae-868d-4d62-8827-1f8a3f67918c · outbound

This paper cites This ain’t your dose: Sensor spoofing attack on medical infusion pump,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles This ain’t your dose: Sensor spoofing attack on medical infusion pump,

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Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.050921Z

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Observation f2f3de56-0da4-4dff-955c-a899198053d6 · outbound

This paper cites LiDAR Spoofing Meets the New-Gen: Capability Improvements, Broken Assumptions, and New Attack Strategies.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles LiDAR Spoofing Meets the New-Gen: Capability Improvements, Broken Assumptions, and New Attack Strategies

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Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.055659Z

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Observation f3c8e651-4e55-4364-9f3e-ec483ea81068 · outbound

This paper cites Secure control against replay attacks,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Secure control against replay attacks,

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Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.060401Z

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Observation cf9bdc88-489b-4434-adf7-f30537814820 · outbound

This paper cites Detecting generalized replay attacks via time-varying dynamic watermarking,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Detecting generalized replay attacks via time-varying dynamic watermarking,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.064836Z

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Observation 6d73d100-67f5-44bb-af6a-cb437168f615 · outbound

This paper cites What Would Trojans Do? Exploiting Partial-Information Vulnerabilities in Autonomous Vehicle Sensing.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles What Would Trojans Do? Exploiting Partial-Information Vulnerabilities in Autonomous Vehicle Sensing

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.069474Z

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Observation 591e5d14-4771-458e-a035-7dfd5683f874 · outbound

This paper cites Practical cyber-attacks on autonomous vehicles,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Practical cyber-attacks on autonomous vehicles,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.074432Z

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Observation 677d37f5-e6c3-455e-8db0-f2311c20ea67 · outbound

This paper cites Exploiting Social Navigation.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Exploiting Social Navigation

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.078707Z

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Observation 33f177fe-067d-41a8-9b2d-9433b410dd43 · outbound

This paper cites Internet of autonomous vehicles communications security: overview, issues, and directions,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Internet of autonomous vehicles communications security: overview, issues, and directions,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.083582Z

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Observation b98a6f72-d79e-4fd5-a1e2-4b871ec83728 · outbound

This paper cites A review on safety failures, security attacks, and available countermeasures for autonomous vehicles,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles A review on safety failures, security attacks, and available countermeasures for autonomous vehicles,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.087947Z

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Observation e04950a8-7425-47c9-85d2-294a9f1c7178 · outbound

This paper cites The sybil attack,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles The sybil attack,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.092199Z

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Observation 1686d79f-fbdb-4854-a319-4522f944b7b0 · outbound

This paper cites Survey on sybil attack defense mechanisms in wireless ad hoc networks,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Survey on sybil attack defense mechanisms in wireless ad hoc networks,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.096502Z

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Observation 2f7301ef-5e77-4d01-a9f5-3fd5e5976e03 · outbound

This paper cites Cross-layer scheme for detecting large-scale colluding Sybil attack in V ANETs,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Cross-layer scheme for detecting large-scale colluding Sybil attack in V ANETs,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.100750Z

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Observation 8812462a-65b5-4090-8834-52abdaaf4ab8 · outbound

This paper cites Sybil attack resilient traffic networks: A physics-based trust propagation approach,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Sybil attack resilient traffic networks: A physics-based trust propagation approach,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.105270Z

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Observation 64e2cede-ba6b-4c21-9c4d-810516a984e4 · outbound

This paper cites A Sybil attack detec- tion scheme based on ADAS sensors for vehicular networks,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles A Sybil attack detec- tion scheme based on ADAS sensors for vehicular networks,

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.109726Z

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Observation b448626e-3a9e-406e-887b-f112679b3e0c · outbound

This paper cites A Tutorial and Review of Automobile Direct ToF LiDAR SoCs: Evolution of Next-Generation LiDARs,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles A Tutorial and Review of Automobile Direct ToF LiDAR SoCs: Evolution of Next-Generation LiDARs,

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.114137Z

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Observation 87ebc58a-8fa3-40fa-b49b-72d875e10d8c · outbound

This paper cites Intriguing properties of neural networks.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Intriguing properties of neural networks

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.118597Z

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Observation 19e4d452-d5a2-423e-bae8-ee8c377ff407 · outbound

This paper cites Adversarial Objects Against LiDAR-Based Autonomous Driving Systems.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Adversarial Objects Against LiDAR-Based Autonomous Driving Systems

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.123939Z

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Observation 9a3b441d-5e41-43a7-9c99-6bb6fafd1576 · outbound

This paper cites A backdoor attack against 3d point cloud classifiers,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles A backdoor attack against 3d point cloud classifiers,

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.128795Z

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Observation ed648173-9dc2-4f63-9be8-b618e8eed7d0 · outbound

This paper cites Play the Imitation Game: Model Extraction Attack against Autonomous Driving Localization,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Play the Imitation Game: Model Extraction Attack against Autonomous Driving Localization,

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.132826Z

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Observation d41c68ed-d5fd-4f42-9cbf-eebbd5006102 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Explaining and Harnessing Adversarial Examples

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.137274Z

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Observation 844b99e5-4e39-4aff-bfdd-ace639dad0d8 · outbound

This paper cites Practical black-box attacks against machine learning,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Practical black-box attacks against machine learning,

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.141504Z

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Observation bb9be277-0c7b-4fcb-a043-17ac2213e51e · outbound

This paper cites Secu- rity Analysis of Camera-LiDAR Fusion Against Black-Box Attacks on Autonomous Vehicles.,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Secu- rity Analysis of Camera-LiDAR Fusion Against Black-Box Attacks on Autonomous Vehicles.,

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.145931Z

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Observation 9ef1acfb-4599-4acf-97f3-85ee645c0c03 · outbound

This paper cites You only look once: Unified, real-time object detection,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles You only look once: Unified, real-time object detection,

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.150388Z

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Observation 29b7a0cf-5250-4c4c-b969-b3cc33869228 · outbound

This paper cites A comprehensive study of the robustness for lidar-based 3d object detectors agaisnt adversarial attacks,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles A comprehensive study of the robustness for lidar-based 3d object detectors agaisnt adversarial attacks,

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.154799Z

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Observation 2c399271-a237-4147-823c-0185d6555e8b · outbound

This paper cites PointBA: Towards Backdoor Attacks in 3D Point Cloud,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles PointBA: Towards Backdoor Attacks in 3D Point Cloud,

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.159048Z

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Observation b896aac2-003b-4406-b4ff-6f6b9a05a7f0 · outbound

This paper cites 3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles 3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection,

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.163579Z

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Observation 4420d10e-c72f-4ead-b44e-5a561aea053a · outbound

This paper cites Deep learning-based autonomous driving systems: A survey of attacks and defenses,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Deep learning-based autonomous driving systems: A survey of attacks and defenses,

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.167846Z

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Observation 6e25f12b-c863-4e64-ad59-b382574a6cf9 · outbound

This paper cites Natural Adversarial Examples,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Natural Adversarial Examples,

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.172100Z

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Observation 158f67d4-8c1d-4df2-aed1-5acf088b5acc · outbound

This paper cites Towards analyzing semantic robustness of deep neural networks,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Towards analyzing semantic robustness of deep neural networks,

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.176473Z

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Observation 451984d8-f230-4de3-8068-7d1e78c532d1 · outbound

This paper cites Towards evaluating the robustness of neural networks,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Towards evaluating the robustness of neural networks,

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.180966Z

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Observation 72365d03-2696-477b-8ca0-0dfb9dc72c29 · outbound

This paper cites Adversarial shape perturbations on 3d point clouds,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Adversarial shape perturbations on 3d point clouds,

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.185349Z

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Observation 0b755fa0-6a1d-42dd-bf1d-9705c5284cc9 · outbound

This paper cites LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud Based Deep Networks,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud Based Deep Networks,

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.189638Z

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Observation e624b571-7ca5-4528-9b66-fbe5ae5feb4d · outbound

This paper cites PointCloud Saliency Maps.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles PointCloud Saliency Maps

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.193982Z

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Observation 70e67ba0-ce35-4b24-bf84-1843e2ea9358 · outbound

This paper cites Adversarial Attack and Defense on Point Sets.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Adversarial Attack and Defense on Point Sets

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.198619Z

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Observation 22026c20-8398-4dfd-8182-d619fe22d787 · outbound

This paper cites One pixel attack for fooling deep neural networks,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles One pixel attack for fooling deep neural networks,

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.203663Z

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Observation fce80655-929f-4cea-86ed-ab0798f5e94a · outbound

This paper cites Robustness of 3d deep learning in an adversarial setting,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Robustness of 3d deep learning in an adversarial setting,

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.209010Z

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Observation 902fd26c-65ae-4711-8f04-79ece4a8c116 · outbound

This paper cites On isometry robustness of deep 3d point cloud models under adversarial attacks,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles On isometry robustness of deep 3d point cloud models under adversarial attacks,

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.213494Z

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Observation 87765f9d-bc92-474f-919e-3f775290b0f6 · outbound

This paper cites A Tutorial on Thompson Sampling,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles A Tutorial on Thompson Sampling,

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.218274Z

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Observation 1019b3b9-6131-4f9c-854b-7f33ad075e5e · outbound

This paper cites Decoding by Linear Programming,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Decoding by Linear Programming,

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.222548Z

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Observation d2b6f757-9ded-4262-b6bd-f2e67b454027 · outbound

This paper cites Pointca: Evaluating the robustness of 3d point cloud completion models against adversarial examples,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Pointca: Evaluating the robustness of 3d point cloud completion models against adversarial examples,

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.227003Z

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Observation f2740175-cd09-46cc-a705-1ae6b05527b2 · outbound

This paper cites Physically realizable adversarial examples for lidar object detection,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Physically realizable adversarial examples for lidar object detection,

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.231656Z

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Observation a705df51-ebdc-4688-8508-0d53e32b871f · outbound

This paper cites Invisible for both camera and lidar: Security of multi- sensor fusion based perception in autonomous driving under physical- world attacks,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Invisible for both camera and lidar: Security of multi- sensor fusion based perception in autonomous driving under physical- world attacks,

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.236297Z

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Observation 5c4f83d0-9fde-4001-91dd-1596057eba7b · outbound

This paper cites Fooling lidar perception via adversarial trajectory perturbation,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Fooling lidar perception via adversarial trajectory perturbation,

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.240633Z

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Observation 73f31da2-0ae7-4875-9aae-29a074a95734 · outbound

This paper cites Towards universal physical attacks on cascaded camera-lidar 3d object detection models,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Towards universal physical attacks on cascaded camera-lidar 3d object detection models,

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.244962Z

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Observation c303e2a3-d4fc-4097-8478-755008420bfa · outbound

This paper cites Generating Adversarial Point Clouds on Multi-modal Fusion Based 3D Object Detection Model,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Generating Adversarial Point Clouds on Multi-modal Fusion Based 3D Object Detection Model,

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.249462Z

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Observation cf331894-d4fe-452f-bde8-5dcfd446b745 · outbound

This paper cites Deeplidar: Deep surface normal guided depth prediction for outdoor scene from sparse lidar data and single color image,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Deeplidar: Deep surface normal guided depth prediction for outdoor scene from sparse lidar data and single color image,

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.254133Z

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Observation ea43cdd3-4a96-4542-acc6-0b860fd09aaa · outbound

This paper cites Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving,

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.258605Z

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Observation 74c4372e-173d-4269-a0b1-6f5297fffc91 · outbound

This paper cites Pseudo-lidar from visual depth estimation: Bridging the gap in 3d object detection for autonomous driving,.

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles Pseudo-lidar from visual depth estimation: Bridging the gap in 3d object detection for autonomous driving,

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-12T15:57:16.262906Z

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