A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles | Paper Citation Record

Observation e1e17861-a185-478f-9a3e-bbcca4e819ff · outbound

This paper cites Slowtrack: Increasing the latency of camera-based perception in autonomous driving using adversarial examples,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Slowtrack: Increasing the latency of camera-based perception in autonomous driving using adversarial examples,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.104727Z

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Observation 7145a013-fc14-4f07-96dc-f46eb50fded4 · outbound

This paper cites Rpau: Fooling the eyes of uavs via physical adversarial patches,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Rpau: Fooling the eyes of uavs via physical adversarial patches,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.154830Z

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Observation 27da5b5f-0df6-45ec-ab00-ca7f86f0677d · outbound

This paper cites Adversarial attacks on adaptive cruise control systems,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Adversarial attacks on adaptive cruise control systems,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.183394Z

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Observation 24f498a2-fbba-45b7-abcb-22ca9e57e44c · outbound

This paper cites Learning when to use adaptive adversarial image perturbations against autonomous vehicles,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Learning when to use adaptive adversarial image perturbations against autonomous vehicles,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.224739Z

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Observation 8fe2c85d-ad6d-426b-b8e9-e55280b447a1 · outbound

This paper cites Deepmaneuver: Adversarial test generation for trajectory manipulation of autonomous vehicles,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Deepmaneuver: Adversarial test generation for trajectory manipulation of autonomous vehicles,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.253259Z

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Observation 1207cfba-94d8-4bc7-8ec9-7827cb9ed464 · outbound

This paper cites Kidnapping deep learning-based multirotors using optimized flying adversarial patches,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Kidnapping deep learning-based multirotors using optimized flying adversarial patches,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.274847Z

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Observation 37c584a9-a361-4f8b-8a83-5af7a02351d1 · outbound

This paper cites Does physical adversarial example really matter to autonomous driving? towards system-level effect of adversarial object evasion attack,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Does physical adversarial example really matter to autonomous driving? towards system-level effect of adversarial object evasion attack,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.281043Z

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Observation 4ca5c9a9-4d7f-476d-b1e6-509656344cb9 · outbound

This paper cites On Data Fabrication in Collaborative Vehicular Perception: Attacks and Countermeasures.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles On Data Fabrication in Collaborative Vehicular Perception: Attacks and Countermeasures

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.287260Z

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Observation fa445b1a-f080-475c-bddd-852e46c7fc3b · outbound

This paper cites Rolling colors: Adversarial laser exploits against traffic light recognition,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Rolling colors: Adversarial laser exploits against traffic light recognition,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.294624Z

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Observation a4fb7b7e-6fbd-45e8-a230-646c2dfc000e · outbound

This paper cites Stop-and-go: Exploring backdoor attacks on deep rein- forcement learning-based traffic congestion control systems,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Stop-and-go: Exploring backdoor attacks on deep rein- forcement learning-based traffic congestion control systems,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.302390Z

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Observation a7be583f-3447-410f-928c-22d09fbbe0d7 · outbound

This paper cites Attack and fault injection in self-driving agents on the carla simulator– experience report,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Attack and fault injection in self-driving agents on the carla simulator– experience report,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.311296Z

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Observation bda92aad-7c17-4090-9e95-61c8cc74b2b8 · outbound

This paper cites Dirty road can attack: Security of deep learning based automated lane centering under{Physical-World} attack,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Dirty road can attack: Security of deep learning based automated lane centering under{Physical-World} attack,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.317862Z

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Observation a1cc339a-5187-4294-a20f-57a8665972fd · 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 Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Invisible for both camera and lidar: Security of multi-sensor fusion based perception in autonomous driving under physical-world attacks,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.322675Z

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Observation bc730d5b-a261-478d-81f4-e9386ec4136e · outbound

This paper cites Too good to be safe: Tricking lane detection in autonomous driving with crafted perturbations,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Too good to be safe: Tricking lane detection in autonomous driving with crafted perturbations,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.327016Z

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Observation 257351be-8f63-457a-9b4e-3a21f64d0c18 · outbound

This paper cites Robust roadside physical adversarial attack against deep learning in lidar perception modules,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Robust roadside physical adversarial attack against deep learning in lidar perception modules,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.331651Z

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Observation af66c539-3c0f-4dc5-8d5a-d5fe3a66d3dd · outbound

This paper cites Ml-driven malware that targets av safety,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Ml-driven malware that targets av safety,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.337482Z

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Observation 4c46c590-1480-48e1-9c82-630982420407 · outbound

This paper cites Attacking vision-based perception in end-to-end autonomous driving models,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Attacking vision-based perception in end-to-end autonomous driving models,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.342678Z

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Observation 60a6171f-7bc3-43af-bac6-b2e59e53c984 · outbound

This paper cites Feasibility and suppression of adversarial patch attacks on end-to-end vehicle control,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Feasibility and suppression of adversarial patch attacks on end-to-end vehicle control,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.352156Z

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Observation f7184b4f-d772-477c-a112-994bf349bf28 · outbound

This paper cites Phantom of the adas: Securing advanced driver-assistance systems from split-second phantom attacks,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Phantom of the adas: Securing advanced driver-assistance systems from split-second phantom attacks,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.358012Z

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Observation 8e10bf95-2aed-4339-841c-634b2396e7d5 · outbound

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

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Adversarial sensor attack on lidar-based perception in autonomous driving,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.365083Z

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Observation b73a1e19-fbdb-4f0b-a986-5a9943a37df1 · outbound

This paper cites Trojaning attack on neural networks,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Trojaning attack on neural networks,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.371547Z

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Observation ac8d5680-0ff7-41db-8150-0074d16284d6 · outbound

This paper cites Mind the gap! a study on the transferability of virtual versus physical-world testing of autonomous driving systems,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Mind the gap! a study on the transferability of virtual versus physical-world testing of autonomous driving systems,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.377217Z

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Observation 2d9fd22c-5465-4c58-91e5-1b78d9e6b1e5 · outbound

This paper cites Guidelines for performing systematic literature reviews in software engineering,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Guidelines for performing systematic literature reviews in software engineering,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.382284Z

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Observation 9b18e1b8-5218-45e0-8ea4-803fd736c297 · outbound

This paper cites Taxonomy and definitions for terms related to driving automation systems for on-road motor vehicles,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Taxonomy and definitions for terms related to driving automation systems for on-road motor vehicles,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.388404Z

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Observation 3e86333c-1a12-4f86-805e-b4d1f785b921 · outbound

This paper cites Findpapers: A tool for helping researchers who are looking for related works,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Findpapers: A tool for helping researchers who are looking for related works,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.399603Z

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Observation 33886f99-89bd-40f7-b162-eea2437958a0 · outbound

This paper cites Wild patterns: Ten years after the rise of adversarial machine learning,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Wild patterns: Ten years after the rise of adversarial machine learning,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.404677Z

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Observation 6762ca36-1c6d-4cf3-aef3-8d3d9c245b1e · outbound

This paper cites Wild patterns reloaded: A survey of machine learning security against training data poisoning,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Wild patterns reloaded: A survey of machine learning security against training data poisoning,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.410614Z

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Observation 1be960f9-d7bd-4795-a7e3-113a14325bf5 · outbound

This paper cites Guidelines for snowballing in systematic literature studies and a replication in software engineering,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Guidelines for snowballing in systematic literature studies and a replication in software engineering,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.415983Z

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Observation 901b17b0-d51c-45ff-ae82-7cf7c3f7ac92 · outbound

This paper cites Deepbillboard: Systematic physical-world testing of autonomous driving systems,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Deepbillboard: Systematic physical-world testing of autonomous driving systems,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.420623Z

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Observation 3d57990b-2e57-48fc-9622-cfe71e2a47d0 · outbound

This paper cites SoK: On the Semantic AI Security in Autonomous Driving.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles SoK: On the Semantic AI Security in Autonomous Driving

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.426084Z

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Observation 23fe5a46-3f36-4cac-95a1-030bc1a47b70 · outbound

This paper cites A survey of deep learning applications to autonomous vehicle control,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles A survey of deep learning applications to autonomous vehicle control,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.432001Z

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Observation 59914552-f561-4b86-afbf-fb13abf4e1b8 · outbound

This paper cites Understanding autonomous vehicles,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Understanding autonomous vehicles,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.438010Z

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Observation 2f839d03-40cc-4bbe-be12-0d6219f9a1a5 · outbound

This paper cites CARLA: An open urban driving simulator,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles CARLA: An open urban driving simulator,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.443054Z

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Observation 2cb1b7db-911d-43ab-ac45-33fdbdd99a3a · outbound

This paper cites Apollo: Open source autonomous driving.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Apollo: Open source autonomous driving

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.447610Z

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Observation aea3907c-3220-4df1-9bb9-d17d1ecf3c68 · outbound

This paper cites LGSVL Simulator: A High Fidelity Simulator for Autonomous Driving.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles LGSVL Simulator: A High Fidelity Simulator for Autonomous Driving

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.452820Z

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Observation 20f323e6-2129-411c-be6b-4a0bf123963e · outbound

This paper cites BeamNG.tech.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles BeamNG.tech

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.463857Z

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Observation c5a56a10-a04c-4e43-b0b4-6febbf565896 · outbound

This paper cites A self-driving car simulator built with unity.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles A self-driving car simulator built with unity

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.470557Z

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Observation 7d7dc187-2c14-407b-809d-708c521f1304 · outbound

This paper cites Physical hijacking attacks against object trackers,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Physical hijacking attacks against object trackers,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:18.681725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a288e100-0a5a-4dfa-8020-c4fc0a9a9979 · outbound

This paper cites Ad 2 attack: Adaptive adversarial attack on real-time uav tracking,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Ad 2 attack: Adaptive adversarial attack on real-time uav tracking,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:18.660412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1e287ff8-3576-4eeb-a57a-b35dd286496f · outbound

This paper cites You can’t see me: Physical removal attacks on{lidar-based} autonomous vehicles driving frameworks,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles You can’t see me: Physical removal attacks on{lidar-based} autonomous vehicles driving frameworks,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:18.618364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fd576fb7-65e2-4952-8520-e855305439a6 · outbound

This paper cites Unmanned ground vehicle,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Unmanned ground vehicle,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.501072Z

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Observation 16e84b3a-50bb-4445-9e1d-7f162ce95df5 · outbound

This paper cites Self-driving car,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Self-driving car,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.515314Z

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Observation f400aa00-3544-4ed0-bd20-f4eea927cb64 · outbound

This paper cites Unmanned aerial vehicle,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Unmanned aerial vehicle,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.521468Z

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Observation 8946c6d8-3051-413d-8aab-581eaa9d2320 · outbound

This paper cites Unmanned surface vehicle,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Unmanned surface vehicle,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.528036Z

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Observation 3ba6e4de-3c6a-4158-b389-67e1ad6599a8 · outbound

This paper cites Autonomous underwater vehicle,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Autonomous underwater vehicle,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.536786Z

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Observation b0b0328b-c42a-4df7-876f-78b588a90738 · outbound

This paper cites Vehicular automation,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Vehicular automation,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.542664Z

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Observation 01dcaf8a-52b2-47fc-82df-2a647c0f61f3 · outbound

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

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Voxelnet: End-to-end learning for point cloud based 3d object detection,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:18.468188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 582697d7-2c80-4a29-a6db-00db5a155fec · outbound

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

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Pointrcnn: 3d object proposal generation and detection from point cloud,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:18.442135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7eb00ceb-8c08-43cb-be20-cca2609af003 · outbound

This paper cites Mask r-cnn,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Mask r-cnn,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:18.419294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a7ded4ef-2277-440d-870c-49680177bafd · outbound

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

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles You only look once: Unified, real-time object detection,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:18.389678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 28a22af9-aadf-42ec-aa6a-f579e2a40a2c · outbound

This paper cites Simultaneous localization, mapping and moving object tracking,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Simultaneous localization, mapping and moving object tracking,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:18.369374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a6d00c9d-daef-489a-90c8-9aeb5c9e6985 · outbound

This paper cites Airsim: High-fidelity visual and physical simulation for autonomous vehicles,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Airsim: High-fidelity visual and physical simulation for autonomous vehicles,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:18.350966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d60dd1e9-635f-49d1-9276-a205bb352bf7 · outbound

This paper cites http://www.cyberbotics.com,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles http://www.cyberbotics.com,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.614500Z

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Observation 6a1e0a55-6c3e-473d-bc2a-435a62eba284 · outbound

This paper cites Coppeliasim (formerly v-rep): a versatile and scalable robot simulation framework,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Coppeliasim (formerly v-rep): a versatile and scalable robot simulation framework,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:18.301512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7632c5a8-1834-484b-9c00-eca6d4226f59 · outbound

This paper cites Design and use paradigms for gazebo, an open-source multi-robot simulator,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Design and use paradigms for gazebo, an open-source multi-robot simulator,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:18.275016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 14b1e126-893d-492c-8a9b-bc2781e8df61 · outbound

This paper cites The flightgear flight simulator,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles The flightgear flight simulator,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:18.248524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5336699d-1239-4d25-b8ed-2edb9a4bce4c · outbound

This paper cites The trick simulation toolkit: a nasa/opensource framework for running time based physics models,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles The trick simulation toolkit: a nasa/opensource framework for running time based physics models,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:18.216973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 280fb963-b3ed-481f-bf83-152f0432172c · outbound

This paper cites Vulnerability of clean-label poisoning attack for object detection in maritime autonomous surface ships,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Vulnerability of clean-label poisoning attack for object detection in maritime autonomous surface ships,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:18.188211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 295083c1-7990-477d-9860-5a3148153a6c · outbound

This paper cites Evaluating the Vulnerability of YOLOv5 to Adversarial Attacks for Enhanced Cybersecurity in MASS,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Evaluating the Vulnerability of YOLOv5 to Adversarial Attacks for Enhanced Cybersecurity in MASS,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:18.160538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f854871e-c40b-484b-9f79-a49f9989901d · outbound

This paper cites Spotattack: Covering spots on surface to attack lidar-based autonomous driving systems,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Spotattack: Covering spots on surface to attack lidar-based autonomous driving systems,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:18.132773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 35690e93-325f-487d-84b5-967a1bd304e1 · outbound

This paper cites Chatgpt (gpt-4),.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Chatgpt (gpt-4),

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.663046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d86e2f2-c0c1-4e49-b347-25fd1b61c07a · outbound

This paper cites Testing of autonomous driving systems: where are we and where should we go?.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Testing of autonomous driving systems: where are we and where should we go?

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:18.094559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a2e09977-ea2a-4e52-a4cf-bc6947fad6c4 · outbound

This paper cites Testing vision-based control systems using learnable evolu- tionary algorithms,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Testing vision-based control systems using learnable evolu- tionary algorithms,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:18.059988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f6b16348-5bf1-47a9-9884-b6a78f2adc52 · outbound

This paper cites Vectornet: Encoding hd maps and agent dynamics from vectorized representation,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Vectornet: Encoding hd maps and agent dynamics from vectorized representation,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:18.022427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 02d505f5-12fe-4a5b-927e-a54fbb62e1b2 · outbound

This paper cites The missing link: Developing a safety case for perception components in automated driving.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles The missing link: Developing a safety case for perception components in automated driving

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.684326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13d1e03c-7ab6-49f1-8de4-7ecbe836b850 · outbound

This paper cites A causal model of safety assurance for machine learning.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles A causal model of safety assurance for machine learning

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:15.693925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00d39143-ec15-42d6-8c65-4dd8ec3f329f · outbound

This paper cites Towards fully autonomous driving: Systems and algorithms,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Towards fully autonomous driving: Systems and algorithms,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:17.996422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 93e34dc9-d291-4d45-88a2-bcb0d91d9477 · outbound

This paper cites A survey on multisensor fusion and consensus filtering for sensor networks,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles A survey on multisensor fusion and consensus filtering for sensor networks,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:17.970653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 499d9077-baf8-4143-a52e-11e4b6a36940 · outbound

This paper cites Project autovision: Localization and 3d scene perception for an autonomous vehicle with a multi-camera system,.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Project autovision: Localization and 3d scene perception for an autonomous vehicle with a multi-camera system,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:17.940525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a4d60d3d-9667-4af0-a4cf-c843be7335ed · outbound

This paper cites an unresolved cited work.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Unresolved cited work

Reference 70

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:46:17.903019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3d3e126c-14ee-4954-b22a-1ffbf8e915a8 · outbound

This paper cites an unresolved cited work.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:46:17.872481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f7d32b54-dcc9-40ba-bd4d-64c284a9c04c · outbound

This paper cites an unresolved cited work.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:46:17.815612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 771486ec-d7e1-47d9-a9e7-864648cb4c8c · outbound

This paper cites an unresolved cited work.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:46:17.776752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e89bbad1-c8d2-4b74-afa6-2e8291de0588 · outbound

This paper cites an unresolved cited work.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:46:17.732541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bcf62b60-5b44-4d8e-b03c-61485a26b394 · outbound

This paper cites (SSF) Autonomous drones following a human target.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles (SSF) Autonomous drones following a human target

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:17.658999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation eb429c53-8270-41be-b429-06bb7a3e5e73 · outbound

This paper cites an unresolved cited work.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Unresolved cited work

Reference 76

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:46:17.628350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 75819ce6-3d18-4c1a-a251-885c0a8a93cb · outbound

This paper cites an unresolved cited work.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:46:17.598283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 04d5d234-a00b-43ca-aa5f-1dbad5f53ea9 · outbound

This paper cites an unresolved cited work.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Unresolved cited work

Reference 78

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:46:17.561536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8226c485-f4bf-4216-b951-72330fafd8be · outbound

This paper cites an unresolved cited work.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Unresolved cited work

Reference 79

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:46:17.538727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5c1f4270-3401-4f85-8d5b-b3f70be60719 · outbound

This paper cites an unresolved cited work.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Unresolved cited work

Reference 80

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:46:17.513358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 75954838-4510-4f6f-9639-86d7f738b2b5 · outbound

This paper cites an unresolved cited work.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Unresolved cited work

Reference 81

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:46:17.489505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 11c7f891-caeb-4057-bb1c-a2e10952c5df · outbound

This paper cites an unresolved cited work.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Unresolved cited work

Reference 82

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:46:17.462305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d6ce5c60-fc9a-4817-bfe2-9c7ae1515dfe · outbound

This paper cites an unresolved cited work.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Unresolved cited work

Reference 83

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:46:17.441356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fd0f9854-22f2-4bce-ac29-12d0eec7b6e7 · outbound

This paper cites an unresolved cited work.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Unresolved cited work

Reference 84

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:46:17.416692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3f348157-0786-45d2-a9f5-43dcfabfc28b · outbound

This paper cites an unresolved cited work.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Unresolved cited work

Reference 85

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:46:17.389363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 50c56587-9af6-4d95-957f-0f6f1bcb3712 · outbound

This paper cites an unresolved cited work.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Unresolved cited work

Reference 86

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:46:17.370728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ca64ab5e-2ab5-489e-bce0-0154a6ede16e · outbound

This paper cites an unresolved cited work.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Unresolved cited work

Reference 87

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:46:17.340317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5a679964-30b2-496a-b5b8-8698acd1c1e5 · outbound

This paper cites an unresolved cited work.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Unresolved cited work

Reference 88

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:46:17.314732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b155f51a-85bd-4366-a9c9-345ffd863180 · outbound

This paper cites an unresolved cited work.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Unresolved cited work

Reference 89

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:46:17.280024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 30b582e1-8b2a-4c49-a826-c0fbb9f141a7 · outbound

This paper cites an unresolved cited work.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Unresolved cited work

Reference 90

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:46:17.250147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6c462324-45d1-494b-87bb-dbffeb2feac2 · outbound

This paper cites an unresolved cited work.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Unresolved cited work

Reference 91

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:46:17.213821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fc5414a6-4a62-473f-85a1-26d959b2f0b3 · outbound

This paper cites an unresolved cited work.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Unresolved cited work

Reference 92

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:46:17.182228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1374d0d0-3511-42c0-b311-65ef94354e7e · outbound

This paper cites an unresolved cited work.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Unresolved cited work

Reference 93

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:46:17.162670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ae19f53d-c43e-4f55-88cb-8d4dca16cae5 · outbound

This paper cites an unresolved cited work.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Unresolved cited work

Reference 94

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:46:17.139265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f53988fc-7e48-43e5-8416-bbd37d840252 · outbound

This paper cites an unresolved cited work.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Unresolved cited work

Reference 95

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:46:17.103981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f53ebdf5-1277-46dc-87dc-6da4f23445e8 · outbound

This paper cites an unresolved cited work.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Unresolved cited work

Reference 96

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:46:17.080970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2c560fd0-cb19-4f1b-9242-a4deb2acc2cf · outbound

This paper cites an unresolved cited work.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Unresolved cited work

Reference 97

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:46:17.062430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6600fbf8-8c27-4b86-b8d9-5f4919b6d36e · outbound

This paper cites an unresolved cited work.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Unresolved cited work

Reference 98

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:46:17.032880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d29a4f73-53ab-4821-86d1-c9bd7441f688 · outbound

This paper cites an unresolved cited work.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Unresolved cited work

Reference 99

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:46:17.005495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fe499ea5-f746-4806-9f19-568946d5eaf6 · outbound

This paper cites Causing a collision with the car in front.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles Causing a collision with the car in front

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:16.986919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers