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Paper Citation Record · LEDGER

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

As of 14 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2501.08258.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.08258 v2

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:33:11.000621Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

61 of 61 outbound references displayed

  • verified exact0
  • verified fuzzy46
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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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 2026-08-13T06:32:02.005865+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.715690Z digest=sha256:b146ba6a3b1390667f55308997b74d98a33dff7c8a491bd0130781d3f6856fef

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.720198Z digest=sha256:ab3748f4852f3c91fbff130a7c8885aa2cb3267a0ebcde8af48b037b3a909ecf

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.724737Z digest=sha256:b697a2f8ad3916377c98698f0a6884590ce6f66ab43b065308cc6f73c727888c

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:33:10.729674Z digest=sha256:4a28e7b088d184894d41e8507ee74c2f32db3fde299cb22b995d683de5835a47

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:33:10.734328Z digest=sha256:94eb89de49fbbc5bbbcf497ca73d62407c9a7caec462913619980ddb9b53b12a

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.739102Z digest=sha256:04eb6691b0998d0d2cd2fc85a50e50fc4294408de5cb37c7c2874077e00e972e

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:33:10.744310Z digest=sha256:0a502cf8d78ea7c9262388d9ca4c190295e4bd8638922c7e64426568f06d821a

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.750034Z digest=sha256:5868c221fd4edb62bd241fb0d976dd062a20b0411aa8f4d445c59e13e8f9615d

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.755036Z digest=sha256:e7a0653400ab1f2a4791074acce41b05ae18a0bef3be996bdc648d677380c29a

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.760023Z digest=sha256:af1126e40a8649f20f4ebc1fc98b22f400cf9d05e2f21c99f2887b14f447f37a

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:33:10.765118Z digest=sha256:d124acc494121c950704ffe10fb6792406d73446d0e57f04fff78a522231e5ed

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.770268Z digest=sha256:0d599b3d940eed601723ff0149c9515c0c1dae7510a79f22aa43ee4b01303705

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
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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.775066Z digest=sha256:521b4472ba38ac8e340c5567728cbe37d8185a58ddf3770d8c2fe4cf100506bf

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.779564Z digest=sha256:d951fac68653d35916b5bd555411598f7688eb84b7eb5660a8ae8da23925bc49

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 2026-08-13T06:32:02.005865+00:00.

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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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.789213Z digest=sha256:388de175aa9f852027bc26bde23cab7a7c077b6cdb30e3de5d604ab9bf7e7085

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.794294Z digest=sha256:68c1f6540b38e8707b59c053917205b7674b31bbe5f41a824123aea0ca30e744

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.799071Z digest=sha256:afc36ae62d5d0089a48895253da2fedc2331944d7b9e24568cf243047a5f11a4

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.803716Z digest=sha256:e66b61bc28d8a313b1edb25f279bcd80a82f58bac32c697dfd560dc7471f4f72

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.808495Z digest=sha256:88b57197aedd8f33e12eefc1b759081ed2d2ff251e4cff22a5ff330c1d34abc3

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.813359Z digest=sha256:4bf44f98d70a9673621b3738b5d9e2a78fc5f1e1e34de68e1b0c07b90347aa74

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.817922Z digest=sha256:b99c679f52f75740a4e487eaa9bbc05a872e92ce565f1d85503e640e487f87ae

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.822819Z digest=sha256:d805a3c3081763f1403d956993a939ed43de0e620281187e0825b2c912ee0b34

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:33:10.827518Z digest=sha256:db4df1e31041b86794b74a6eccaa48e8e69bcfd8887059ec5465b00c3b1ccabb

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.832823Z digest=sha256:8947108f7b884f0aa8e70f19f92ee00338c96a02b2b07e3f0a1baefafc88551e

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
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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.837646Z digest=sha256:856932fdb3cfc6e078eb6d2d0e3fe1ee7e77fe0dde42a64bc4ddd8dee30c4074

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.842602Z digest=sha256:c0412327996e2837d65985c611684ae3f20238daa15d151f9071fc595250d235

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.

source=pdf_text observed=2026-08-10T20:33:10.847640Z digest=sha256:3fc538a201a96dc49e6129e6d9de31fe4efb8f54a466e641592694158afabc0b

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
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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.852850Z digest=sha256:62b4f2b1cb00627f8f0d15d46749776719dc42a04b1fd6c12dc1a9c68261dba3

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.857908Z digest=sha256:aec791ca9a93f345e2e36be1fa887b9d60efe4b2c96e00b6e57915ec21f213f1

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.863350Z digest=sha256:f2e5e08cf70ddfe230d4eb29d570680e12bd428a1ef228fe5eb814f2661379c1

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.868203Z digest=sha256:a69a8e748b30add5bdcd34e6cdea9bd83e59eda791d1d029398e0a6f5f8ac847

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.874003Z digest=sha256:58599072b8c96d03cb83d7d4060fe727f8189c4ee6cfd6f8f1cd5fbdf2042f1c

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.878870Z digest=sha256:34cb60fc94cfa4162708262e32fb5c9b430d10e315a11b7706fa649a06addd1b

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.883819Z digest=sha256:e708681941a8b9925ae10d7e8bbc0dba20e71bfcc1840104bd4257b2693f5e7a

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.888845Z digest=sha256:86efbd0e78d83dc3190709e4f917b2517cbef50af48774683b841b056125a52d

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.893670Z digest=sha256:3fcb4b044f43bdb9ec720205dbfe4bceaf9a89afb351ba4c5b4a8934865e7e80

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.898527Z digest=sha256:9b4147ecd1409a58e5572f1acf381a5f163235180db0f1ed07b5c25e500dd538

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.902783Z digest=sha256:ca43ac1b23254bc1f936b246714b286368909b3eb22efa4ca0ab2667d5059c06

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.907087Z digest=sha256:0ce72f562cf276ca509f41335d505c4a34a82c411f0691141ece45cdc6ec375d

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.911730Z digest=sha256:9dd0ac800bbc62343844191c8a9fd40024c0c0a052b3db1e718def42560faebe

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.915830Z digest=sha256:d7c746e95e87f92213302d14d171c245b114ef43e6cf38ff6969c7f3edae3f0d

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.

source=pdf_text observed=2026-08-10T20:33:10.920054Z digest=sha256:f76600abf10a2cdb804865051096d49f7222ba471f24a2b53f7579b9c84ef48b

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.

source=pdf_text observed=2026-08-10T20:33:10.925474Z digest=sha256:3cd671f62a32fad3dbd9418b29890ada448dcba692f78d9d3d1a190e461f8c8b

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.

source=pdf_text observed=2026-08-10T20:33:10.930586Z digest=sha256:1ed35dca0bc1d31d2919a8b9106191310c68744de6f841baf5ae905d3c8b4230

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.935450Z digest=sha256:937063b3be157aeb3bf66db2b49f7338a72ecd9cf98b5b078e86420f983b1c71

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.940404Z digest=sha256:5b7e7521deacbcc31c9fe300dc43f08a00e5c11e4b004a779b8606d72594172b

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.

source=pdf_text observed=2026-08-10T20:33:10.946325Z digest=sha256:987e2e356b0a4a94bc5d3f3817787b41db710b184cfb34dea03d42aa4419f05b

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.952495Z digest=sha256:ccf68bc0f90c57563ecd75fa3d9fe188db1082c2f97af33a5f663a79836919be

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.958656Z digest=sha256:b85034133a6069281a7ce95548d5009901775189a08e4732fda7fa7d05aa4474

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.

source=pdf_text observed=2026-08-10T20:33:10.963747Z digest=sha256:a3c03f301223286a0a0f61ed0d0530572f8fad69c69319a770ee30413f8a9fd9

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.968948Z digest=sha256:66be92930c766e42880caf9c68fba61170e212480665631e00d487b2bd837fb7

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.

source=pdf_text observed=2026-08-10T20:33:10.974022Z digest=sha256:c076b62a6f808d897e981cde193326d1891736d8e5c4b86e3370e86906fb16e4

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.979423Z digest=sha256:fb0c63c648cda30a6d1f567d1dd3c6b7cfda4336f8da6c47fbab031f6d9864a9

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.

source=pdf_text observed=2026-08-10T20:33:10.984443Z digest=sha256:685b33168639f38c828034c020634efd96bb922ace162f2b9b83214e2ae9abc7

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.990117Z digest=sha256:3ace105d35ab046201ff698ef849eef4e255efc5c9bfa354c70c6956e4c6eb91

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:33:10.995711Z digest=sha256:659cce8f7b4765508dfecbee7af5e172aeb58269efc8061d4078998082bd462e

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.

source=pdf_text observed=2026-08-10T20:33:11.000621Z digest=sha256:6ca643a396c915bd5875933297226d5bda6fd4671f50ec5de94d98758d0b15b7

Pith citing papers

No inbound Pith citation observations are available.