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Paper Citation Record · LEDGER

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems

As of 10 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2505.16402.

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

pith.paper-citation-record.v1
2505.16402 v2

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:05:46.425293Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

59 of 59 outbound references displayed

  • verified exact1
  • verified fuzzy41
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b294fc08-f071-46d5-b22c-c40bdbf064ee · outbound

This paper cites Adversarial Patch.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Adversarial Patch

Reference 1

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unresolved
no resolver link, observed 2026-08-07T15:05:40.195013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:05:40.195013Z digest=sha256:2675b993d665a7fefc96e5f87e5cb11769a0695b0b14f8540c5362f06fb174c4

Observation 59fc76ae-ab2b-4479-84fa-d4269797129a · outbound

This paper cites Camopatch: An evolutionary strategy for generating camoflauged adversarial patches,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Camopatch: An evolutionary strategy for generating camoflauged adversarial patches,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-07T15:05:53.378835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:40.270485Z digest=sha256:fc9442c9b86960fba5cf9a6f160c12b9bf7fec84f9e6060620952b2c60ab203d

Observation e1d4974f-730c-4c68-b844-d27ab7c8952e · outbound

This paper cites Stealthy and effective physical adversarial attacks in autonomous driving,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Stealthy and effective physical adversarial attacks in autonomous driving,

Reference 3

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raw_fallback, observed 2026-08-07T15:05:53.301502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:40.395655Z digest=sha256:163f39f914d0081663d7ddceae3265df43b2055b517865a63b8bf219c4462199

Observation df57fa6f-5701-43d9-b45a-5eaf87b5b0f0 · outbound

This paper cites Simultaneously optimizing perturbations and positions for black-box adversarial patch attacks,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Simultaneously optimizing perturbations and positions for black-box adversarial patch attacks,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-07T15:05:53.205846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:40.468281Z digest=sha256:e45d5fc0c2559be92912ae486b44120e38d503adc42cf9263ca463aefd4c3058

Observation e3a7ba28-e017-4bac-8d63-7e9ff3b7dd26 · outbound

This paper cites Eap: An effective black-box impersonation adversarial patch attack method on face recognition in the physical world,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Eap: An effective black-box impersonation adversarial patch attack method on face recognition in the physical world,

Reference 5

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raw_fallback, observed 2026-08-07T15:05:53.090481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:40.582156Z digest=sha256:f9e81bd9b2d95f6e4b97963b1444fc87ceafec4a2d88ec41dce8966fb3169973

Observation 7495cf1f-b8f7-4f5c-a450-7c4d08f4e35f · outbound

This paper cites Fooling human detectors via robust and visually natural adversarial patches,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Fooling human detectors via robust and visually natural adversarial patches,

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-07T15:05:52.978248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:40.684835Z digest=sha256:3233b7c2c23e81e2ed5fae73512f4ac02bb67b2a0751dc96500bdfca5976d87e

Observation 1dc2eac2-08ea-4938-87fa-1234bf4cc29e · outbound

This paper cites Deep learning-based few-shot person re-identification from top-view rgb and depth images,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Deep learning-based few-shot person re-identification from top-view rgb and depth images,

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-07T15:05:52.870335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:40.771046Z digest=sha256:fdf32b41890bf34a55f7ce3e0806e2e0ca1c630fdb1b6ccfaecde4b6a6a01f33

Observation f9c36cb8-dc4c-44d3-9a7d-3f5e92906262 · outbound

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

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Fooling automated surveillance cameras: adversarial patches to attack person detection,

Reference 8

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raw_fallback, observed 2026-08-07T15:05:52.769941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:40.889022Z digest=sha256:487942c4f94a6b1cd53bdad9465a926af045220f29dccd5add9a37e0c9c75ce2

Observation cc2f081d-c734-4c59-bc96-926897c9cbb3 · outbound

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

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 9

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unresolved
no resolver link, observed 2026-08-07T15:05:40.978536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:05:40.978536Z digest=sha256:f8bfa93877905e68b57350f5f3a9df307e02b43553dfa7429e9a09a096841afe

Observation 114e0314-ebb5-4f3f-9630-bf7684f5d134 · outbound

This paper cites End-to-end object detection with transformers,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems End-to-end object detection with transformers,

Reference 11

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no resolver link, observed 2026-08-07T15:05:41.200066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:05:41.200066Z digest=sha256:8b116486e9143cafd2acf8d367c81ab514bb2460ecc4fe8d80d59ca314130caf

Observation 554e68b8-91c0-4e1b-8cc7-7faaf10f3255 · outbound

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

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Adversarial texture for fooling person detectors in the physical world,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:05:52.665153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:41.305635Z digest=sha256:5ce3db2076ffec69fdbaee8007824d8f485f718567791b7d82617a84221adaed

Observation cd94f752-f6a4-44f9-8e9b-3410c9064c62 · outbound

This paper cites Learning Transferable 3D Adversarial Cloaks for Deep Trained Detectors.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Learning Transferable 3D Adversarial Cloaks for Deep Trained Detectors

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:05:46.808764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:41.387001Z digest=sha256:1852bbcc02ec2e7475d7a1be5e178c723ccf20720a71b07807c3cac72b244797

Observation fe3b3c5d-c593-4925-81e2-07e340fb4a1e · outbound

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

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Adversarial t-shirt! evading person detectors in a physical world,

Reference 14

Resolution
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raw_fallback, observed 2026-08-07T15:05:52.560124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:41.527215Z digest=sha256:225144ed10ea266672e2914cc3ac8ea89f0eae3d8a514a8e1edc29580952cff1

Observation 242908f1-ae85-4829-8ab5-982d2541e876 · outbound

This paper cites Adversarial objectness gradient attacks in real-time object detection systems,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Adversarial objectness gradient attacks in real-time object detection systems,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:05:52.457072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:41.630358Z digest=sha256:358b43b84773bdf20c9d469ff56c90a8a4ad576b5a301298c9602721547aa93d

Observation 09f68886-057f-4480-a8b0-208c643e8f9d · outbound

This paper cites Naturalistic physical adversarial patch for object detectors,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Naturalistic physical adversarial patch for object detectors,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:05:52.331235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:41.679616Z digest=sha256:4b030ff4c9047b1e92f882091233adfd79cdd51f8abc6efbf6cabda46ffcac9b

Observation 102eba8a-d9b9-4206-bfa8-88b0efebe0a3 · outbound

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

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Dap: A dynamic adversarial patch for evading person detectors,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:05:52.241431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:41.772759Z digest=sha256:c9525ab6d93f5bec65f9cfa5805b17782a93457c5a9da25f53a92f3eb3139e93

Observation b11ca903-0953-4b93-8145-a74ec0e9d2fe · outbound

This paper cites Pad: Patch-agnostic defense against adversarial patch attacks,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Pad: Patch-agnostic defense against adversarial patch attacks,

Reference 18

Resolution
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raw_fallback, observed 2026-08-07T15:05:52.150965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:41.890215Z digest=sha256:4abbf3b7b3dba4a0a52d2e8c1682b71fdd33226a033d49143f043ddfa3c98115

Observation 49186be2-5b10-438d-a662-543179f7fa24 · outbound

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

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Physically realizable natural-looking clothing textures evade person detectors via 3d modeling,

Reference 19

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raw_fallback, observed 2026-08-07T15:05:52.056265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:41.993334Z digest=sha256:30e0d75e26062161f8bb8a75dc9035ce2ecb341b16d60a4a68caba9fbb33a76b

Observation e740d650-c1c0-4c63-90a8-dd34f7ca1b83 · outbound

This paper cites Reap: a large-scale realistic adversarial patch benchmark,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Reap: a large-scale realistic adversarial patch benchmark,

Reference 20

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raw_fallback, observed 2026-08-07T15:05:51.899948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:42.098031Z digest=sha256:64424fa043401785458d2ce0ae4f177d10a92a3efb9c3050b34245aac74f6ef5

Observation f518c8ce-8b97-4e85-9f89-6a991bcf2e22 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems nuscenes: A multimodal dataset for autonomous driving,

Reference 21

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no resolver link, observed 2026-08-07T15:05:42.173364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:05:42.173364Z digest=sha256:250de8e2fa6616be63ebc31b4678c78b3ab7528ea1fedc3d603bd37b881d72dd

Observation 848b69bf-03a8-45d2-a64b-3b671c43c072 · outbound

This paper cites Yolo9000: better, faster, stronger,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Yolo9000: better, faster, stronger,

Reference 22

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raw_fallback, observed 2026-08-07T15:05:51.622021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:42.285282Z digest=sha256:aa9cfb685746e2890d3fbbc95aca6f2c738ce353c67b398d0660a2330293e54d

Observation b3ab7286-07e1-400e-8699-0f2a2efd0b42 · outbound

This paper cites YOLOv3: An Incremental Improvement.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems YOLOv3: An Incremental Improvement

Reference 23

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no resolver link, observed 2026-08-07T15:05:42.373493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:05:42.373493Z digest=sha256:ddc7f50eddec64724e921d0d2c05b3df60d87b63e9443f09b72255869bc2c23e

Observation d1362225-2722-4101-8257-99f1a58ae3ff · outbound

This paper cites ultralytics/yolov5: v3. 0,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems ultralytics/yolov5: v3. 0,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:05:51.356674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:42.482773Z digest=sha256:1088da011c60866b2eead259e37d7409d5e10beb6f0590537c740717918bec21

Observation ace7d5dd-faad-48bd-8f4d-9aa4aff04f2b · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 25

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unresolved
no resolver link, observed 2026-08-07T15:05:42.618623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:05:42.618623Z digest=sha256:4c32d06f79af8885842d88e0f23743397a14a2a2dd2a323bc8c595522182f32b

Observation def365d7-bbf4-49c2-8f32-2322f3a281d9 · outbound

This paper cites Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Reference 26

Resolution
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no resolver link, observed 2026-08-07T15:05:42.756290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:05:42.756290Z digest=sha256:15c6342e092306723c6e69432e91591bd79b03f6b28f2608c5e020ec3fc1634e

Observation 0f7e6527-8efd-4d45-9a3c-ead560581d84 · outbound

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

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems T-sea: Transfer-based self-ensemble attack on object detection,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:05:51.122815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:42.890796Z digest=sha256:2cf53becd258afbf9cb1a12ac6873f3d8d44d7cdf2ea785ea440ac649e8178b3

Observation 61dd13cd-68f6-4048-941a-72961d47081d · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Grad-cam: Visual explanations from deep networks via gradient-based localization,

Reference 28

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no resolver link, observed 2026-08-07T15:05:43.027320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:05:43.027320Z digest=sha256:ebd5292b796d2e674985efbe3f98f90e269acf74223f745b539dee770d939585

Observation a5940445-076a-4a7f-a62e-c5b15659830a · outbound

This paper cites Fca: Learning a 3d full- coverage vehicle camouflage for multi-view physical adversarial attack,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Fca: Learning a 3d full- coverage vehicle camouflage for multi-view physical adversarial attack,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:05:50.845301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:43.092807Z digest=sha256:76679731444596780503d6f041db31157661e0a58fc4f30ec4490217feae521c

Observation bfd95bcf-0783-4e4f-a879-d73c67ad6785 · outbound

This paper cites Intelligent amphibious ground-aerial vehicles: State of the art technology for future transportation,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Intelligent amphibious ground-aerial vehicles: State of the art technology for future transportation,

Reference 30

Resolution
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raw_fallback, observed 2026-08-07T15:05:50.657559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:43.195319Z digest=sha256:fa1596562045f6580271e49422ae364ecaec6ef0ffbae787953fbe9a5a1defaf

Observation 9a4cb7b9-bddc-4490-85eb-0ac60e28ea36 · outbound

This paper cites An ar-based meta vehicle road cooperation testing systems: framework, components modeling and an implementation example,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems An ar-based meta vehicle road cooperation testing systems: framework, components modeling and an implementation example,

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-07T15:05:50.431823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:43.317688Z digest=sha256:20da5997bac62c71ccd01fa233fd2a077d626670bcc4d684417d24e71796a716

Observation 20e26ac6-407c-4224-91f6-aeb153988d4e · outbound

This paper cites Street-view image generation from a bird’s-eye view layout,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Street-view image generation from a bird’s-eye view layout,

Reference 32

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unresolved
no resolver link, observed 2026-08-07T15:05:43.464564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:05:43.464564Z digest=sha256:994f2e4e3917750c1fd2b202ed7f6171620d3f3ff615c22462f312ed8cc1fa47

Observation 01a002df-7539-41b7-a323-afb7e2a0a32f · outbound

This paper cites Advswap: Covert adversarial perturba- tion with high frequency info-swapping for autonomous driving perception,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Advswap: Covert adversarial perturba- tion with high frequency info-swapping for autonomous driving perception,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:05:50.225805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:43.584021Z digest=sha256:a9d29c46c9f8aba960d656fc9336be441d3502e81e22a1723b1b50b287dd2c96

Observation 9dc24e80-b575-488e-89ff-4df1bbd9cb86 · outbound

This paper cites Attention-disentangled re-id network for unsupervised domain adaptive person re-identification,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Attention-disentangled re-id network for unsupervised domain adaptive person re-identification,

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-07T15:05:49.995361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:43.700449Z digest=sha256:c67c89fc37252e0dcc6c942cfa6757a5fb7efe4d31c71e9cf2f676eb9f42e008

Observation 84755ef6-3b19-4b4c-aca8-c51495ca0fd9 · outbound

This paper cites Adversarial examples for vehicle detection with projection transformation,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Adversarial examples for vehicle detection with projection transformation,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:05:49.775230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:43.823926Z digest=sha256:585a151e3ac6bd7284aabccb2c2760d80748376b2e6f6576e6b001ee314b39e8

Observation a5f7a010-efa3-4534-99c2-d3cf33c27b95 · outbound

This paper cites Toward robust 3d perception for autonomous vehicles: A review of adversarial attacks and countermeasures,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Toward robust 3d perception for autonomous vehicles: A review of adversarial attacks and countermeasures,

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-07T15:05:49.525535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:43.953194Z digest=sha256:934ab0b139198f33e6453e35ac64ea1b643c8b34f3ae68849eeab69ab7d2dc30

Observation fceddb7c-7c76-4c97-b663-5c3b27bcedae · outbound

This paper cites Deep networks with stochastic depth,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Deep networks with stochastic depth,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:05:49.333990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:44.120362Z digest=sha256:37b4bf997994c820449c35c068db05e840e97f42d598200211ff0673190df667

Observation 71765079-8f32-42c9-aa3e-0c9964973e14 · outbound

This paper cites Uv-attack: Physical-world adversarial attacks for person detection via dynamic-nerf-based uv mapping,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Uv-attack: Physical-world adversarial attacks for person detection via dynamic-nerf-based uv mapping,

Reference 38

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unresolved
no resolver link, observed 2026-08-07T15:05:44.230644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:05:44.230644Z digest=sha256:cde8a3627e8445cfa1ed0ca495de8de87aafecf24857a90f788b2c78f049d01d

Observation 106e4986-7ae6-4d1a-8318-6b6ada6f3600 · outbound

This paper cites Physical adversarial attack meets computer vision: A decade survey,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Physical adversarial attack meets computer vision: A decade survey,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:05:49.208048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:44.350074Z digest=sha256:72e1df75b6b8e2986423f40c046de15e786fcd2fb591bc5d3edb5a4483a0988c

Observation d9f3725f-5d4e-40a3-819b-21066508fb21 · outbound

This paper cites Force-based representation for non-rigid shape and elastic model estimation,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Force-based representation for non-rigid shape and elastic model estimation,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:05:49.106760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:44.469926Z digest=sha256:28033866fa8a3238af94383c665fade91d3b0db594948a6bb96ac14344322f40

Observation 22111197-4f08-4148-9215-4ce3dd5be2a2 · outbound

This paper cites Garnet++: Im- proving fast and accurate static 3d cloth draping by curvature loss,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Garnet++: Im- proving fast and accurate static 3d cloth draping by curvature loss,

Reference 41

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verified fuzzy
raw_fallback, observed 2026-08-07T15:05:48.923296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:44.556523Z digest=sha256:8424f02e78213207b9379247e8b7c3431b9d1c33dfeff6e9a7e48650c5f9985a

Observation ee707c59-0913-46a5-9721-9770ac02d18b · outbound

This paper cites Ultralytics yolov8,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Ultralytics yolov8,

Reference 42

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unresolved
no resolver link, observed 2026-08-07T15:05:44.661586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:05:44.661586Z digest=sha256:09538adb795243a8f0e416f595724af20c43482472b7fc8fee2332b69c7d2465

Observation 42f645a0-5f2b-4adf-93ee-820fa0574fe3 · outbound

This paper cites Ultralytics yolo11,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Ultralytics yolo11,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T15:05:44.731307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:05:44.731307Z digest=sha256:ef97bd76728dd9a3a32fd539f6df49e5b254d9094ad8dc01cd16445f92e6e6f4

Observation 790f3a1c-f7f1-468e-ab57-b634577b89cc · outbound

This paper cites YOLOv12: Attention-Centric Real-Time Object Detectors.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems YOLOv12: Attention-Centric Real-Time Object Detectors

Reference 44

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unresolved
no resolver link, observed 2026-08-07T15:05:44.796167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:05:44.796167Z digest=sha256:44575dc90bbfee59aeaa4f6b3882f06dad10add56b92019d12d433e5c9044dde

Observation 7840e154-0acc-4f2a-8af2-17cf1638efbd · outbound

This paper cites Shakedrop regularization,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Shakedrop regularization,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:05:48.805087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:44.860992Z digest=sha256:8c54846516be3ada0df4f21e0477321b4147e0c3663addfa7384e8a5033c339c

Observation 8cdeca79-48e2-4533-9a04-0f4b245e98c8 · outbound

This paper cites Histograms of oriented gradients for human detection,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Histograms of oriented gradients for human detection,

Reference 46

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unresolved
no resolver link, observed 2026-08-07T15:05:44.921988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:05:44.921988Z digest=sha256:203f7c64f368ca075e6f1a3a199bbe9b2c5ad6915b0100d0090330a5c7556a53

Observation 6fbe4ae7-1e66-4215-b176-a8b9f9de5bfb · outbound

This paper cites Microsoft coco: Common objects in context,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Microsoft coco: Common objects in context,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:05:48.648073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:44.980496Z digest=sha256:c7450a159ffdd53b5108ac4e7f14f81da18c2901fbe64ab2b49036fa5fc051fe

Observation f9167b61-5d56-4769-9372-a773e59888d4 · outbound

This paper cites Black-box adversarial attacks against image quality assessment models,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Black-box adversarial attacks against image quality assessment models,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:05:48.503484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:45.099324Z digest=sha256:5907ed46db9518d4f626c09f6f672fca2c9abb2139c737c2c2f26806903796c3

Observation ff36c0fd-fe3a-4652-ad3b-fb9a5d078809 · outbound

This paper cites So-yolov8: A novel deep learning-based approach for small object detection with yolo beyond coco,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems So-yolov8: A novel deep learning-based approach for small object detection with yolo beyond coco,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:05:48.371808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:45.205692Z digest=sha256:bd089715dc15fd9a5b3eaebd0f67b78c63da16d9335878423ac2bf948f10e3e7

Observation f162f3dd-a02c-46d6-bd9b-99ebbaef581d · outbound

This paper cites State-of-the-art optical-based physical adversarial attacks for deep learning computer vision systems,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems State-of-the-art optical-based physical adversarial attacks for deep learning computer vision systems,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:05:48.201497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:45.360199Z digest=sha256:b7e205d82c0fcfc681b9b042591a32602a3afff3e83c3a9772068e26f2dc09c8

Observation 0349f20b-b7ef-4910-af76-a1d06083bcd9 · outbound

This paper cites Evaluating adversarial attacks on driving safety in vision- based autonomous vehicles,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Evaluating adversarial attacks on driving safety in vision- based autonomous vehicles,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:05:48.067872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:45.460515Z digest=sha256:1bb064349b50a9247a78677a7b761c6715437980ea723c4bd8518e727e23c127

Observation a585fe4f-5253-4c26-b067-e9e2a921214f · outbound

This paper cites A transformer-based adversarial network frame- work for steganography,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems A transformer-based adversarial network frame- work for steganography,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:05:47.922213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:45.594649Z digest=sha256:3063f6a89db5c5f019ac33357fa1afb68ad8a63e43eb669e8d53549047074e9f

Observation c2412b11-76a0-4664-ae77-8a372b919a92 · outbound

This paper cites Mining the benefits of two-stage and one-stage hoi detection,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Mining the benefits of two-stage and one-stage hoi detection,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:05:47.734463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:45.691112Z digest=sha256:1f50a9b6cae1526c24fa9a9a94442ab1423b23e3678874829182327d207d2134

Observation 6cf9bf9d-2c24-491c-89af-1d3c8eea45b0 · outbound

This paper cites A survey and evaluation of adversarial attacks in object detection,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems A survey and evaluation of adversarial attacks in object detection,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:05:47.562651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:45.807114Z digest=sha256:cd044d8eb2d18ff3a260126861ffbb96eca76d11f6bceb342c5b807e0d9be0a8

Observation 199e4b7a-13ad-4e3c-b244-ed196d2bada1 · outbound

This paper cites Adversarial attack and defense of yolo detectors in autonomous driving scenarios,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Adversarial attack and defense of yolo detectors in autonomous driving scenarios,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:05:47.415285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:45.898556Z digest=sha256:1f1fa85b51864f391b8a558c88fa3e1e25aba32f1e8e65ecfafda97e680e0af2

Observation 507b7116-ba43-4db8-b553-d44d494586ae · outbound

This paper cites Adversarial attacks on faster r-cnn object detector,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Adversarial attacks on faster r-cnn object detector,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:05:47.236197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:46.022683Z digest=sha256:bc58fa47026ed732083284bd541ac8fc80c15b2dc4416beb884122b4007cb86e

Observation 744b3f33-fe80-4b88-93dd-5f710e820754 · outbound

This paper cites On the Adversarial Robustness of Vision Transformers.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems On the Adversarial Robustness of Vision Transformers

Reference 57

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unresolved
no resolver link, observed 2026-08-07T15:05:46.120059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:05:46.120059Z digest=sha256:74ba95900f7aefe748c6cc4a9392e2676cdbd0c675dd9721ee485c0e09571b90

Observation 0109a09b-f852-4b79-889e-c5e432b5d8cb · outbound

This paper cites From patches to pictures (paq-2-piq): Mapping the perceptual space of picture quality,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems From patches to pictures (paq-2-piq): Mapping the perceptual space of picture quality,

Reference 58

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unresolved
no resolver link, observed 2026-08-07T15:05:46.221545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:05:46.221545Z digest=sha256:26ab0e2a7f8b6474edd68d48d627e569641dc04cc8b2197b653b15650ad5cee9

Observation c7a150a0-ddc7-42e2-8dfe-80d743ab5c5c · outbound

This paper cites Napguard: Towards detecting naturalistic adversarial patches,.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Napguard: Towards detecting naturalistic adversarial patches,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:05:47.043488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:05:46.318842Z digest=sha256:fc3664bffa32af5e9b4869c447da9d583e8bcc2c57d39c2c2256e1024433cdca

Observation 8575730e-53bd-49d0-9576-09323b6f50f4 · outbound

This paper cites Adversarial Examples in the Physical World: A Survey.

AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems Adversarial Examples in the Physical World: A Survey

Reference 60

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unresolved
no resolver link, observed 2026-08-07T15:05:46.425293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:05:46.425293Z digest=sha256:9ceeb20155ae44a4516d518b985babd1a2e02e5a6d43426152c7a03824077c8a

Pith citing papers

No inbound Pith citation observations are available.