Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World | Paper Citation Record

Observation 78267256-017d-4aa4-90f8-81dc60e6dd8e · outbound

This paper cites Enhanc- ing object detection in smart video surveillance: A survey of occlusion-handling approaches,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Enhanc- ing object detection in smart video surveillance: A survey of occlusion-handling approaches,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:12.036326Z

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 c0867823-cbdd-4bde-8aba-00f4661d14a1 · outbound

This paper cites Automatic number plate recognition: A detailed survey of relevant algo- rithms,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Automatic number plate recognition: A detailed survey of relevant algo- rithms,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:12.020801Z

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 02bb3d08-92fd-487d-87de-2bdde3a74dec · outbound

This paper cites Deep learning meth- ods for object detection in autonomous vehicles,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Deep learning meth- ods for object detection in autonomous vehicles,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:12.004814Z

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 79de64b5-6cf0-4b26-8fea-8746a25b7c72 · outbound

This paper cites Naturalistic physical ad- versarial patch for object detectors,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Naturalistic physical ad- versarial patch for object detectors,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.989388Z

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 c8888f05-831a-4285-99d9-d911534c5b68 · outbound

This paper cites Hop- skipjumpattack: A query-efficient decision-based attack,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Hop- skipjumpattack: A query-efficient decision-based attack,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.973911Z

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 1dc519d1-927c-4392-a981-b07fa9d9c5fa · outbound

This paper cites Simple black-box adversarial attacks,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Simple black-box adversarial attacks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.956934Z

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 e62eb51d-515d-47f6-8fd5-98b674a5bf5c · outbound

This paper cites Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:10.729674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 887b6d10-c300-4114-a53d-371e61b9b559 · outbound

This paper cites Synthesizing Robust Adversarial Examples.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Synthesizing Robust Adversarial Examples

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:10.734328Z

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Unavailable: canonical work link unavailable.

Observation eb3e3aea-0c4a-41eb-a9e1-0d202ec7be3c · outbound

This paper cites Phys- 14 ical adversarial examples for object detectors,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Phys- 14 ical adversarial examples for object detectors,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.940180Z

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 eb659320-9df5-4893-9bf9-f7b698aa5928 · outbound

This paper cites On Physical Adversarial Patches for Object Detection.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World On Physical Adversarial Patches for Object Detection

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:10.744310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40a44acc-7346-4e31-bd95-721a274baa85 · outbound

This paper cites Robust physical-world attacks on deep learning visual classification,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Robust physical-world attacks on deep learning visual classification,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.924585Z

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 7114ed83-f7df-48fa-b4f2-31becccb9ef9 · outbound

This paper cites Adversarialeak: External information leak- age attack using adversarial samples on face recognition systems,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Adversarialeak: External information leak- age attack using adversarial samples on face recognition systems,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.908486Z

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 36275dc0-0a3a-43e1-aa24-f7d56d94de0b · outbound

This paper cites Shapeshifter: Robust physical adversarial attack on faster r-cnn object detector,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Shapeshifter: Robust physical adversarial attack on faster r-cnn object detector,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.892001Z

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 ef45cd5e-8c31-4b55-ab7e-46bdf8e7d8ee · outbound

This paper cites DPatch: An Adversarial Patch Attack on Object Detectors.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World DPatch: An Adversarial Patch Attack on Object Detectors

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:10.765118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 611762b1-a5a7-4d86-ba9a-56fe15e46392 · outbound

This paper cites Camou: Learning physical vehicle camouflages to adversarially attack detectors in the wild,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Camou: Learning physical vehicle camouflages to adversarially attack detectors in the wild,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.875710Z

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 31e541cb-e035-42aa-b316-23d425778658 · outbound

This paper cites Fooling automated surveillance cameras: adversarial patches to attack person detection,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Fooling automated surveillance cameras: adversarial patches to attack person detection,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.859672Z

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 208055f8-d4bf-4e7b-9633-9c0a2681230e · outbound

This paper cites Adversarial t-shirt! evading person detectors in a physical world,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Adversarial t-shirt! evading person detectors in a physical world,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.844005Z

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 94019f5d-315e-454e-9ad8-46c567313c29 · outbound

This paper cites an unresolved cited work.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:33:11.828560Z

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 96e0d0c6-91b5-46f3-8667-53d4b96de067 · outbound

This paper cites Universal physical camouflage attacks on object detectors,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Universal physical camouflage attacks on object detectors,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.813869Z

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 6b450b26-a312-4216-8a0f-f51cee4db456 · outbound

This paper cites Mak- ing an invisibility cloak: Real world adversarial attacks on object detectors,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Mak- ing an invisibility cloak: Real world adversarial attacks on object detectors,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.798560Z

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 2277cac1-7c05-4cad-8bc5-6367a8a8050b · outbound

This paper cites The translucent patch: A physical and universal attack on object detectors,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World The translucent patch: A physical and universal attack on object detectors,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.781539Z

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 023a0262-444d-4c3f-b2f3-8f810bd87bed · outbound

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

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Too good to be safe: Tricking lane detection in autonomous driving with crafted perturbations,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.764006Z

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 9cccfd70-e988-44eb-8568-1dfb57b1c851 · outbound

This paper cites Legitimate adver- sarial patches: Evading human eyes and detection models in the physical world,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Legitimate adver- sarial patches: Evading human eyes and detection models in the physical world,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.746120Z

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 cd791041-49cd-4023-bee2-b103d26c3dd6 · outbound

This paper cites Dta: Physical camouflage attacks using differentiable transformation network,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Dta: Physical camouflage attacks using differentiable transformation network,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.728508Z

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 ad820433-b15b-4fae-b19c-f47c495b7821 · outbound

This paper cites Adversarial texture for fooling person detectors in the physical world,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Adversarial texture for fooling person detectors in the physical world,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.710577Z

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 68d55338-b4b0-462d-b4fd-be4a240ce413 · outbound

This paper cites The adversarial implications of variable-time inference,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World The adversarial implications of variable-time inference,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.693738Z

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 5fab0a44-1617-4e9c-ad78-0a191fb7c375 · outbound

This paper cites Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial Examples Against Traffic Sign Recognition Systems.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial Examples Against Traffic Sign Recognition Systems

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:10.827518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe3dde72-8c25-4d3c-915e-1733b248f076 · outbound

This paper cites T-sea: Transfer-based self-ensemble attack on object detection,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World T-sea: Transfer-based self-ensemble attack on object detection,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.673094Z

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 6ad172a0-fc2e-45c2-8c3f-9bb7a35864b9 · outbound

This paper cites {TPatch}: A triggered physical adversarial patch,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World {TPatch}: A triggered physical adversarial patch,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.654972Z

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 874d77ce-2723-4da6-b473-080a2adb6568 · outbound

This paper cites Physically realizable natural-looking clothing textures evade person detectors via 3d modeling,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Physically realizable natural-looking clothing textures evade person detectors via 3d modeling,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.638108Z

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 238c20cf-75cf-46d8-8d3a-d6d52f30dc1d · outbound

This paper cites Dap: A dynamic adversarial patch for evading person detectors,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Dap: A dynamic adversarial patch for evading person detectors,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:10.847640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbf8a7b9-23c2-40d7-811c-1621a9eee7ab · outbound

This paper cites Revisiting adversarial patches for designing camera-agnostic attacks against person detection,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Revisiting adversarial patches for designing camera-agnostic attacks against person detection,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.612812Z

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 ea9041d1-64f1-44b8-b1ca-a88e351acf70 · outbound

This paper cites Full-distance evasion of pedestrian detectors in the physical world,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Full-distance evasion of pedestrian detectors in the physical world,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.596853Z

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 c6f02dad-2280-407c-9143-55c6dcc185de · outbound

This paper cites Infrared invisible clothing: Hiding from infrared detectors at multiple angles in real world,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Infrared invisible clothing: Hiding from infrared detectors at multiple angles in real world,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.579906Z

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 9da5d09d-5f6e-4b8d-9b8e-fde1278f3e3e · outbound

This paper cites Hotcold block: Fooling thermal infrared detectors with a novel wearable design,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Hotcold block: Fooling thermal infrared detectors with a novel wearable design,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.562894Z

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 fcece39a-9de4-43a1-b70e-6c5720a0880d · outbound

This paper cites Infrared adversarial patches with learnable shapes and locations in the phys- ical world,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Infrared adversarial patches with learnable shapes and locations in the phys- ical world,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.543868Z

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 ebe138b8-00da-4066-98fd-4bd5e065c98e · outbound

This paper cites Infrared adversarial car stickers,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Infrared adversarial car stickers,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.526148Z

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 012052f2-f188-4206-97ac-d0ff8fbf4df2 · outbound

This paper cites {SLAP}: Improving physical adver- sarial examples with {Short-Lived} adversarial perturba- tions,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World {SLAP}: Improving physical adver- sarial examples with {Short-Lived} adversarial perturba- tions,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.508389Z

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 4f047b19-2e7c-47d5-a338-320dff0f859f · outbound

This paper cites Opticloak: Blinding vision-based autonomous driving systems through adversarial optical projection,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Opticloak: Blinding vision-based autonomous driving systems through adversarial optical projection,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.490963Z

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 c092da90-9962-460f-b0b4-d2d89040b80b · outbound

This paper cites Adversarial color projection: A projector-based physical-world attack to dnns,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Adversarial color projection: A projector-based physical-world attack to dnns,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.473488Z

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 b33c4651-68b8-4c20-aea3-82a5f8aef5b7 · outbound

This paper cites Adversarial patch attacks on deep-learning-based face recognition systems using generative adversarial networks,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Adversarial patch attacks on deep-learning-based face recognition systems using generative adversarial networks,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.454200Z

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 ba11b16d-babf-4436-a10e-5aedddf7a9d1 · outbound

This paper cites Advhat: Real-world ad- versarial attack on arcface face id system,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Advhat: Real-world ad- versarial attack on arcface face id system,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.435948Z

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 5ac6d640-0460-4c71-98d0-c2d985dfd028 · outbound

This paper cites Real- world adversarial examples via makeup,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Real- world adversarial examples via makeup,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.417785Z

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 c24d9dad-b4c5-46b7-b109-5c9960908628 · outbound

This paper cites Unified adversarial patch for cross-modal attacks in the physical world,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Unified adversarial patch for cross-modal attacks in the physical world,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.398566Z

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 d2d7206b-4869-40e7-a63d-8fb912351cee · outbound

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

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Phantom of the adas: Secur- ing advanced driver-assistance systems from split-second phantom attacks,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.381644Z

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 39a037c1-e40c-4622-8823-ab62b72bed09 · outbound

This paper cites Adversarial Robustness Toolbox v1.0.0.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Adversarial Robustness Toolbox v1.0.0

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:10.920054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5020f19-a7bc-4dba-8a4c-2f15861289b0 · outbound

This paper cites YOLOv3: An Incremental Improvement.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World YOLOv3: An Incremental Improvement

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:10.925474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f3c2d1c-5997-4b73-8d7e-10539f534b77 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:10.930586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb7620b0-5848-42fb-8766-4f810c96ad5d · outbound

This paper cites Focal loss for dense object detection,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Focal loss for dense object detection,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.352164Z

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 f48696d4-5100-4601-9188-80153ab00113 · outbound

This paper cites Ssd: Single shot multibox detector,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Ssd: Single shot multibox detector,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.335718Z

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 2265c3c6-0c59-45bf-b885-15fafbdbc54e · outbound

This paper cites Invisible Reflections: Leveraging Infrared Laser Reflections to Target Traffic Sign Perception.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Invisible Reflections: Leveraging Infrared Laser Reflections to Target Traffic Sign Perception

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:10.946325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a13d09ba-2a3c-4ed3-a657-a7e4ad00ef8d · outbound

This paper cites Light can be dangerous: Stealthy and effective physical-world adversarial attack by spot light,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Light can be dangerous: Stealthy and effective physical-world adversarial attack by spot light,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.319270Z

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 79a8ec7a-62a4-4d47-b0a3-ed5b4da86f27 · outbound

This paper cites On adversarial patches: real-world attack on arcface-100 face recognition system,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World On adversarial patches: real-world attack on arcface-100 face recognition system,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.303262Z

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 4fa29615-c476-4468-8379-81c69a429878 · outbound

This paper cites Accessorize to a crime: Real and stealthy attacks on state-of-the-art face recognition,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Accessorize to a crime: Real and stealthy attacks on state-of-the-art face recognition,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:10.963747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfd04f41-71e5-4b31-a315-23558838f3cc · outbound

This paper cites Generating adversarial examples by makeup attacks on face recogni- tion,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Generating adversarial examples by makeup attacks on face recogni- tion,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.275177Z

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 aff0e862-623e-4e1d-8f1c-21d2324a199a · outbound

This paper cites Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:10.974022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f87d31d4-c69c-4ee8-9109-44baf21c17f1 · outbound

This paper cites Adversarial laser beam: Effective physical- world attack to dnns in a blink,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Adversarial laser beam: Effective physical- world attack to dnns in a blink,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.257502Z

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 72aa6f2c-2c03-4c82-bd38-fa8239d759cc · outbound

This paper cites Invisible Mask: Practical Attacks on Face Recognition with Infrared.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Invisible Mask: Practical Attacks on Face Recognition with Infrared

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:10.984443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 307955e9-89b2-4ba9-98c0-822a111ba40c · outbound

This paper cites Vla: A practical visible light-based attack on face recognition systems in physical world,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Vla: A practical visible light-based attack on face recognition systems in physical world,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.240713Z

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 2b4aa974-2134-4c4e-a32c-39f68406e7f0 · outbound

This paper cites Fooling thermal infrared pedestrian detectors in real world using small bulbs,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Fooling thermal infrared pedestrian detectors in real world using small bulbs,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:11.223618Z

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 8ab8a053-3df5-4ebf-92ab-22d3c84db0a5 · outbound

This paper cites I can see the light: Attacks on autonomous vehicles using invisible lights,.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World I can see the light: Attacks on autonomous vehicles using invisible lights,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:11.000621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers