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Paper Citation Record · LEDGER

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches

As of 18 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 1 inbound Pith citation observation for arXiv:2412.01440.

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

pith.paper-citation-record.v1
2412.01440 v5

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:26:55.190633Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T04:35:51.583460Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

64 of 64 outbound references displayed

  • verified exact0
  • verified fuzzy34
  • unresolved30
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 03844ddd-c38d-4872-882e-259b371ea618 · outbound

This paper cites GPT-4 Technical Report.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches GPT-4 Technical Report

Reference 1

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no resolver link, observed 2026-08-12T04:26:54.901459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:26:54.901459Z digest=sha256:0cdf42ca9679e98102c34685908437af8ed0156ef451697e13b3111c67808744

Observation 64134a61-afff-4672-a611-6904b15b3554 · outbound

This paper cites 2d human pose estimation: New benchmark and state of the art analysis.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches 2d human pose estimation: New benchmark and state of the art analysis

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:26:56.254689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T04:26:54.906732Z digest=sha256:52ac40ca0c0438f129944a44acd309c394117ede0a067e55c2a14bd38dd55500

Observation 8927b149-7a1e-49e9-8821-c83424d1afea · outbound

This paper cites Synthesizing robust adversarial examples.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Synthesizing robust adversarial examples

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T04:26:54.911251Z digest=sha256:a6857b529c0e81aeef822d818819c22406f7adf0a5641048e3637e999ab0ca4f

Observation 7d1f9013-00d5-4feb-a910-fb55f249febd · outbound

This paper cites Blended diffusion for text-driven editing of natural images.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Blended diffusion for text-driven editing of natural images

Reference 4

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no resolver link, observed 2026-08-12T04:26:54.915984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:26:54.915984Z digest=sha256:2711d1568059a146b499ac8d3f2815543842e368ba0b24fd19d9de320961cecc

Observation 06acdf48-beb0-4a86-9ef4-e8cd77fcbfa4 · outbound

This paper cites YOLOv4: Optimal Speed and Accuracy of Object Detection.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches YOLOv4: Optimal Speed and Accuracy of Object Detection

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T04:26:54.920519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:26:54.920519Z digest=sha256:632362227da1aac4d96b87d18d8c08361491a7520416727cf0a8017acf1b1eb0

Observation b4b4b6a1-16db-4753-b34c-09ea133c326f · outbound

This paper cites Adversarial Patch.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Adversarial Patch

Reference 6

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no resolver link, observed 2026-08-12T04:26:54.925430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:26:54.925430Z digest=sha256:fab550b8aa5bb989ee34df626ce0a1d678d87c04eb393712cbb6f6414f2f39c1

Observation 42bebf5a-5c0e-4a79-bce8-169931536f61 · outbound

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

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches End- to-end object detection with transformers

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-12T04:26:56.215600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T04:26:54.930236Z digest=sha256:46e666081d66ecca7899f6287cef36d707c187a88dd3d63b21b4383a4f7ff28f

Observation 75d8df91-c694-4d5d-88a2-9b84b62e8c7e · outbound

This paper cites Towards evaluating the robustness of neural networks.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Towards evaluating the robustness of neural networks

Reference 8

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no resolver link, observed 2026-08-12T04:26:54.934698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:26:54.934698Z digest=sha256:ebe1df357db01eab9c0856b3cec6cd728b7e6b128fec5e3b003cb70f04ea1603

Observation 19d93927-db4f-452f-80c8-b708bffe54db · outbound

This paper cites Deepdriving: Learning affordance for direct percep- tion in autonomous driving.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Deepdriving: Learning affordance for direct percep- tion in autonomous driving

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:26:56.191540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T04:26:54.939482Z digest=sha256:7a888690d859b6f7c94b2b4068ac9841214468830d3ef14870caca849fa05a9b

Observation 3d6d99fb-a6fa-40f2-a458-d7f43e2060a3 · outbound

This paper cites Natural Adversarial Patch Generation Method Based on Latent Diffusion Model.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Natural Adversarial Patch Generation Method Based on Latent Diffusion Model

Reference 10

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unresolved
no resolver link, observed 2026-08-12T04:26:54.943744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:26:54.943744Z digest=sha256:0bed310663a4d977753764ad61ed15c25541dfb810681e41b2426aea5bcfb79e

Observation 567632d0-14e7-4e3f-86b8-250e5e1beac4 · outbound

This paper cites Content-based unrestricted ad- versarial attack.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Content-based unrestricted ad- versarial attack

Reference 11

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raw_fallback, observed 2026-08-12T04:26:56.176485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T04:26:54.948609Z digest=sha256:916231922beb021a5920a3d58befdf239ae9a595367340e62f5150069346f56f

Observation b1d09a65-8735-46c4-a302-2dafbdeba471 · outbound

This paper cites Histograms of oriented gra- dients for human detection.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Histograms of oriented gra- dients for human detection

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:26:56.161610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T04:26:54.953229Z digest=sha256:c9ebd7220a480af469bde9b5554f2ce43547c6e6f23d27868d4da948a8cd4fdc

Observation 939f4e08-b4e2-4736-ad45-368aaefdd56d · outbound

This paper cites Diffusion mod- els beat gans on image synthesis.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Diffusion mod- els beat gans on image synthesis

Reference 13

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no resolver link, observed 2026-08-12T04:26:54.957914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:26:54.957914Z digest=sha256:c85acd64b1b16bb970ec692058ae398525e916a425d2e6a971ea3d681efbb13d

Observation 9f875f74-1367-4d97-8b9a-4743ee840461 · outbound

This paper cites Tnt attacks! universal naturalis- tic adversarial patches against deep neural network systems.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Tnt attacks! universal naturalis- tic adversarial patches against deep neural network systems

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:26:56.136864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T04:26:54.962471Z digest=sha256:a0091d78a56b2e71768c4fb925141af6084b027f05275a3ea322bfe756414fbe

Observation 6aa83886-430e-4315-a4f4-352da66ab4c7 · outbound

This paper cites Robust Physical-World Attacks on Deep Learning Models.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Robust Physical-World Attacks on Deep Learning Models

Reference 15

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no resolver link, observed 2026-08-12T04:26:54.966717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:26:54.966717Z digest=sha256:d3668c0f87d269107822c07ed0fe49faafa56268e386ae5c63e09448d1eb9f4d

Observation d04f10d5-40bd-4001-92e6-3fd68461e4c7 · outbound

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

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Robust physical-world attacks on deep learning visual classification

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:26:56.120774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T04:26:54.972367Z digest=sha256:bf9148b17188567db9f688441bc07ad9bfe2e050c80dbd2e35477d77118a64f6

Observation 316f14e8-97b7-45cb-afcb-a4363da1d7dd · outbound

This paper cites Generative adversarial nets.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Generative adversarial nets

Reference 17

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no resolver link, observed 2026-08-12T04:26:54.976660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:26:54.976660Z digest=sha256:5a910d7d0a5e04e3808fc108e77789b80734ecb8440e6449241ec2039ccc5c34

Observation 27c5bf9b-e235-4cfe-b12f-cb425a8cc8b4 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Explaining and Harnessing Adversarial Examples

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:26:54.981001Z digest=sha256:398233755620fe833849533be8b68e1480703b671439494ec914584369c86fb5

Observation d6ff5bac-14ed-40b2-a0c8-03827155f627 · outbound

This paper cites Advart: Adversarial art for camouflaged object detection attacks.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Advart: Adversarial art for camouflaged object detection attacks

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:26:56.095419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T04:26:54.986525Z digest=sha256:ad7a3354a10675a2dbef7b684201a4f12b205f5ce98695c6485b489fbc1c3e7a

Observation 2df801be-d906-410e-bbf7-42cd6e8b5e5e · outbound

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

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Dap: A dynamic adversarial patch for evading person detectors

Reference 20

Resolution
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raw_fallback, observed 2026-08-12T04:26:56.080880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T04:26:54.991052Z digest=sha256:43ea9589ad8ce29e639c9948e5e86e27658a8f60526b6f645133179fd2549e13

Observation 469dcb4b-2226-4110-afb7-4bd0ac0c0794 · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 21

Resolution
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no resolver link, observed 2026-08-12T04:26:54.995173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:26:54.995173Z digest=sha256:5ad1a1571ac49f6f3949530de5c43bb96a6a6a19beba996fcef45ed3c80c0508

Observation e779a124-6c2e-42fb-902a-32dd9ab659bb · outbound

This paper cites Classifier-Free Diffusion Guidance.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Classifier-Free Diffusion Guidance

Reference 22

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no resolver link, observed 2026-08-12T04:26:54.999524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:26:54.999524Z digest=sha256:c4d19c1b35fb5e4b0320c16a1cfaa0269135cae9bda6aaffb87881ef21f265db

Observation 73c3d641-0f46-47d6-8f8b-a047a2ef566e · outbound

This paper cites Denoising dif- fusion probabilistic models.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Denoising dif- fusion probabilistic models

Reference 23

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no resolver link, observed 2026-08-12T04:26:55.004103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:26:55.004103Z digest=sha256:3e2e21e77b25838c95273ef0e94a3a651b5d872950726a6f69421090329966af

Observation 8a0a7bbe-02f6-481e-8aea-b04d2743ac12 · outbound

This paper cites Nat- uralistic physical adversarial patch for object detectors.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Nat- uralistic physical adversarial patch for object detectors

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:26:56.055057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T04:26:55.008395Z digest=sha256:1fe090c688242fc2a2f245ea0b2e0e1ed7ffb9bdee94c0c7e6cb4c448c1e2f59

Observation 1740060e-3fc7-4f11-8f8a-d939bd7388fe · outbound

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

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches T-sea: Transfer-based self-ensemble attack on object detection

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:26:56.040010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T04:26:55.012684Z digest=sha256:719461f07dab8d4bdc31289f3027d20fb6a281fdf39405b1205bbc497c4e4bb8

Observation e6ecfabc-0f4b-4b24-b13f-a3c5f846721a · outbound

This paper cites Universal physical camouflage attacks on object detectors.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Universal physical camouflage attacks on object detectors

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:26:56.023431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T04:26:55.016808Z digest=sha256:321d5052068262a155cc7c8bee880fbb83fd91caddc507bef93ccbb44512f510

Observation c115e840-1996-44c7-a0bc-5deadcf293c2 · outbound

This paper cites Connecting the digital and phys- ical world: Improving the robustness of adversarial attacks.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Connecting the digital and phys- ical world: Improving the robustness of adversarial attacks

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:26:56.008326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T04:26:55.021140Z digest=sha256:2935ed7e4f228ed7b87b58191b22deda6c7ea5057acbb954b2bfe2f5a9cf2d02

Observation 1793ff06-362f-4fce-8148-3e0f99fcfacf · outbound

This paper cites ultralytics/yolov5, 2020.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches ultralytics/yolov5, 2020

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:26:55.992875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T04:26:55.025606Z digest=sha256:c337e5e0721f5f80b7e101f300d11c42918f426824a79f7b8ebeb84370158a3d

Observation 79de2481-a009-44a4-8039-8dc17555f9f4 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Adam: A Method for Stochastic Optimization

Reference 29

Resolution
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no resolver link, observed 2026-08-12T04:26:55.029953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:26:55.029953Z digest=sha256:6dd56b10dc7649c7a1a96333d48b4825dda9f758f3cc4c68e43f712c94bca0fc

Observation 8f235450-8050-4c78-af5f-ab47dbe6584f · outbound

This paper cites Ad- versarial examples in the physical world.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Ad- versarial examples in the physical world

Reference 30

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raw_fallback, observed 2026-08-12T04:26:55.977436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T04:26:55.034371Z digest=sha256:b17d5b06005846422d48e160ca986f4785696c0f6c5e50e40c2b48f520599d41

Observation 0099e7ec-3a68-410f-8137-deff73c2bf2a · outbound

This paper cites Patch of invisibility: Natural- istic black-box adversarial attacks on object de-tectors.arXiv preprint arXiv:2303.04238, 2023.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Patch of invisibility: Natural- istic black-box adversarial attacks on object de-tectors.arXiv preprint arXiv:2303.04238, 2023

Reference 31

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no resolver link, observed 2026-08-12T04:26:55.038945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:26:55.038945Z digest=sha256:1533d0d0a2d0e41d9e263149d2ea2dfccc6feb0cb9261baeca2056594ad4cc76

Observation e93b978c-a26d-4c5e-abcc-f554b5521b48 · outbound

This paper cites CapGen:An Environment-Adaptive Generator of Adversarial Patches.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches CapGen:An Environment-Adaptive Generator of Adversarial Patches

Reference 32

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no resolver link, observed 2026-08-12T04:26:55.043260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:26:55.043260Z digest=sha256:fb60f8a96597154d4637ec8b1a21a05f4d8a3949c123419e177d82b1463328df

Observation 756c1b01-41c6-4317-9790-3a6f040b7f77 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 33

Resolution
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raw_fallback, observed 2026-08-12T04:26:55.961270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T04:26:55.048078Z digest=sha256:329199c1ec9aa3bcabf0456b0556e3c3ba223996ecaa76b145300e97db135054

Observation c7667703-a1fb-4bba-a5d4-0a1dc74a4c85 · outbound

This paper cites Diffusion to Confusion: Naturalistic Adversarial Patch Generation Based on Diffusion Model for Object Detector.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Diffusion to Confusion: Naturalistic Adversarial Patch Generation Based on Diffusion Model for Object Detector

Reference 34

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no resolver link, observed 2026-08-12T04:26:55.052237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:26:55.052237Z digest=sha256:6982d0307ef524e3374d68fbf37771489eb95e2eeeacba807f34974662de17ab

Observation 1af587ea-d783-492a-b0b4-527c9b5acc44 · outbound

This paper cites Microsoft coco: Common objects in context.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Microsoft coco: Common objects in context

Reference 35

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no resolver link, observed 2026-08-12T04:26:55.056639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:26:55.056639Z digest=sha256:be6edae1704f32469d96bedf9ade0b9bf7f1221345e9311c936a1d20fd796f04

Observation 9d4b828b-62d3-4e82-82ba-3a1091e6e605 · outbound

This paper cites Beware of road markings: A new adversarial patch attack to monocular depth estimation.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Beware of road markings: A new adversarial patch attack to monocular depth estimation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:26:55.936034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T04:26:55.061437Z digest=sha256:0b8a047adbed12d2af75d7a8b1191483cb7f8521831c222984f46a4270ba5568

Observation c642ac43-1051-4cc9-9cd9-82fd1b319fa5 · outbound

This paper cites Segment and complete: Defending object detectors against adversarial patch attacks with robust patch detection.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Segment and complete: Defending object detectors against adversarial patch attacks with robust patch detection

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T04:26:55.065924Z digest=sha256:a8c6d223bd1afc61219f60bedf9a833f489d6218843e10fe52ef9e86cbbc0ffd

Observation ff16fc77-fa44-46d1-b35a-d84863296d0e · outbound

This paper cites Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:26:55.070309Z digest=sha256:36f0aa8c6f4d5fd4795cef1622b301218da905de4d0e62e2c84b65e7f91e50fc

Observation 855c5479-908e-4e23-942b-0c8f46b26ae1 · outbound

This paper cites Towards deep learning models resistant to adversarial attacks.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Towards deep learning models resistant to adversarial attacks

Reference 39

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source=pdf_text observed=2026-08-12T04:26:55.074863Z digest=sha256:78ddcd66b9bbcca0dda4a1f449c9f3cdc4bc57932d8d0fe1bf698ba184c9e838

Observation 42e9658c-2ca6-4f4d-a085-d756979a84b2 · outbound

This paper cites Deep learning for healthcare: review, opportunities and challenges.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Deep learning for healthcare: review, opportunities and challenges

Reference 40

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T04:26:55.079169Z digest=sha256:c9b6047b34bde6db14f5b3592f86361d17facfb8c33aea26d6d29c1916ee03d4

Observation 07d106f3-439b-4444-bf1e-6cb06de62109 · outbound

This paper cites Null-text inversion for editing real images using guided diffusion models.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Null-text inversion for editing real images using guided diffusion models

Reference 41

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:26:55.083527Z digest=sha256:85dfae5dafd94e77625c7cf4de96edee15707de73027747007f314775c7b8422

Observation a0cc8827-6f5e-40a8-9b1e-d736124a1cc1 · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Learn- ing transferable visual models from natural language super- vision

Reference 42

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:26:55.087835Z digest=sha256:bee039103cc4ed28fd044da79b0388cbf9180b93faeceb731323a0d88bd74626

Observation 45f33e89-fad1-45d0-98b9-5a10a839b130 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 43

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:26:55.091981Z digest=sha256:c10a30d9a5d24bb279157cfd752fb29c4dd1af04fb056ab5e0c4f80b2ddf0b55

Observation ead4b7a5-6833-4d6c-9861-6b439efc1d17 · outbound

This paper cites YOLOv3: An Incremental Improvement.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches YOLOv3: An Incremental Improvement

Reference 44

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:26:55.097007Z digest=sha256:2a0a0b5a859c31e7616c493e84bac06b106ab7a46c7d9cd54c910114f25b9825

Observation 786c1de7-388b-4194-aa8a-91c20df78249 · outbound

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

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 45

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raw_fallback, observed 2026-08-12T04:26:55.862596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T04:26:55.101699Z digest=sha256:a19170a9689ff21b185e8d484e8f3fb7443651f8b5506a6f895d066e24c527f4

Observation 335ee805-57eb-4d64-92aa-2fcd3a49d6a3 · outbound

This paper cites High-resolution image syn- thesis with latent diffusion models.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches High-resolution image syn- thesis with latent diffusion models

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:26:55.848725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T04:26:55.106093Z digest=sha256:116582000767f900a6a82221995a290c5e6459d7f185fc0d58cf0584be383b58

Observation 10669cde-d07c-4db6-9b9d-b562b4744967 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Photorealistic text-to-image diffusion models with deep language understanding

Reference 47

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:26:55.110530Z digest=sha256:5b2af66fc8b4898591cb9dd1ec01b22c63babcadd87c2aa051981909baab1493

Observation 3d84208d-d184-482e-a058-6b2a9bbc3cde · outbound

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

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Accessorize to a crime: Real and stealthy attacks on state-of-the-art face recognition

Reference 48

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raw_fallback, observed 2026-08-12T04:26:55.825712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T04:26:55.114802Z digest=sha256:2b1de61d0aa4dac2f7bcd06e76c0d6e829db23d5edf4ec6ed5612976efb19882

Observation 0eb85e0c-4e60-4fec-9d77-24ec06be32b3 · outbound

This paper cites A Survey of Multimodal-Guided Image Editing with Text-to-Image Diffusion Models.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches A Survey of Multimodal-Guided Image Editing with Text-to-Image Diffusion Models

Reference 49

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:26:55.119335Z digest=sha256:7615db0a55126e80d821a519eb00415611851bdcb0ac673ff035909ee9199010

Observation c27dd4c3-0a3d-4432-aa96-9c7e947b0208 · outbound

This paper cites Denoising Diffusion Implicit Models.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Denoising Diffusion Implicit Models

Reference 50

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:26:55.123995Z digest=sha256:06f8a7b0ebedafd9feccf25114fa981e8d5112da7e7b6b99b912fb691ba3fc48

Observation 6884f959-7884-4d82-8c9c-545755a4f8ce · outbound

This paper cites Fool- ing automated surveillance cameras: adversarial patches to attack person detection.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Fool- ing automated surveillance cameras: adversarial patches to attack person detection

Reference 51

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raw_fallback, observed 2026-08-12T04:26:55.812319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T04:26:55.128627Z digest=sha256:c585493ce2b3fbb58697d8b4c90fb4eab136fd20df7e58c0a33f1e631820c090

Observation 18fa73af-2c00-4cbd-a182-591437e84b4e · outbound

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

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches YOLOv12: Attention-Centric Real-Time Object Detectors

Reference 52

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:26:55.133641Z digest=sha256:8b14a48230432c3a4ed755a7524df51b30c78c6be83bc21baac5e6ec6fcb9416

Observation 725709be-9f12-4c4a-b19c-fc24db3d3f50 · outbound

This paper cites Yolov10: Real-time end-to-end object de- tection.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Yolov10: Real-time end-to-end object de- tection

Reference 53

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raw_fallback, observed 2026-08-12T04:26:55.798567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T04:26:55.138360Z digest=sha256:d5c0b8f553e9c2ebed46867ed3c35bc07427b6efd905134ae91c7efff83733dc

Observation 75fea814-3cea-4a16-b08f-0204fbd8b4ea · outbound

This paper cites Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 54

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raw_fallback, observed 2026-08-12T04:26:55.784652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T04:26:55.142923Z digest=sha256:864415dc9d563416e63e89a36b336c0a7fef791d8505c7d4817d411c4b790b76

Observation f0b58d28-5e3f-40dc-90c4-c2e05ab0f6a8 · outbound

This paper cites A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment

Reference 55

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:26:55.147561Z digest=sha256:8ac8c85699b4909926e5ea374bcb077b6ba1ffb138262e7d72a323c40227b520

Observation f1a34902-b9b7-4936-b916-fa6d81fd487a · outbound

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

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Revisiting adversarial patches for designing camera-agnostic attacks against person detection

Reference 56

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raw_fallback, observed 2026-08-12T04:26:55.771249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T04:26:55.152786Z digest=sha256:128dad5ff21915521f9d1743e0612a0e8e9e188c371a391834782340516e8ef1

Observation 63feb7ef-7ba7-4ff7-92cc-f066c0a58b5b · outbound

This paper cites Transferable Adversarial Attacks for Image and Video Object Detection.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Transferable Adversarial Attacks for Image and Video Object Detection

Reference 57

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:26:55.157557Z digest=sha256:9408dd84e31f99c1415b7069b17bfc0f7cd81a45b776b4edf3a8581f989bc7e5

Observation 6efcb6c8-5de5-47c2-bced-51083c2546ac · outbound

This paper cites Making an invisibility cloak: Real world adversarial attacks on object detectors.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Making an invisibility cloak: Real world adversarial attacks on object detectors

Reference 58

Resolution
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raw_fallback, observed 2026-08-12T04:26:55.756093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T04:26:55.162292Z digest=sha256:26f7ca339c315018a4d45ebc28e38d2fe33395d3c027f274c11f2b5fdfff0821

Observation f7d797b4-abb4-4eda-8ddd-d4c7877138d1 · outbound

This paper cites Adversarial examples for se- mantic segmentation and object detection.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Adversarial examples for se- mantic segmentation and object detection

Reference 59

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verified fuzzy
raw_fallback, observed 2026-08-12T04:26:55.741595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T04:26:55.166704Z digest=sha256:b6d37687946b40f47e9d96f5a00448f281070d80779e010718eb2a3cb1120e4a

Observation 4bc21c6f-9311-42e5-966a-00f278d55240 · outbound

This paper cites Adversarial t-shirt! evading person detectors in a phys- ical world.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Adversarial t-shirt! evading person detectors in a phys- ical world

Reference 60

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verified fuzzy
raw_fallback, observed 2026-08-12T04:26:55.726438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T04:26:55.171222Z digest=sha256:3cf723e382fb012854e4ef180e38de542e1f86e01e19cbb4cef8de38e09321d7

Observation b6fc1715-ea2f-470c-8cf1-8e8d51d1a817 · outbound

This paper cites Diffusion-based adversarial sample generation for improved stealthiness and controllability.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Diffusion-based adversarial sample generation for improved stealthiness and controllability

Reference 61

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raw_fallback, observed 2026-08-12T04:26:55.712070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T04:26:55.176217Z digest=sha256:c99355e11eff0d1a3eaa152fbd9c69263e71463b85578fbe21d8586efc7edbbe

Observation 4350c5b2-f7bb-4e0b-9a35-d50dfaac3549 · outbound

This paper cites Detrs beat yolos on real-time object detection.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Detrs beat yolos on real-time object detection

Reference 62

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verified fuzzy
raw_fallback, observed 2026-08-12T04:26:55.698013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T04:26:55.181393Z digest=sha256:0db16a2276a9dfab70b21826b8553974dcd5f33c2058a7c9642fd8bd0456ef33

Observation 747d1f7d-8deb-4af5-a771-776b38a72e42 · outbound

This paper cites Shadows can be dangerous: Stealthy and effective physical-world adversarial attack by natural phe- nomenon.

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Shadows can be dangerous: Stealthy and effective physical-world adversarial attack by natural phe- nomenon

Reference 63

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raw_fallback, observed 2026-08-12T04:26:55.682670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T04:26:55.186430Z digest=sha256:eec21a35c6067ed1fa3f9cda44dc58358c0c021a947d9d85f8ff1f5b2ac96eaa

Observation 0391ddf9-3089-46eb-b468-519a17ed07b3 · outbound

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

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches Fooling thermal infrared pedestrian detectors in real world using small bulbs

Reference 64

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raw_fallback, observed 2026-08-12T04:26:55.667943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T04:26:55.190633Z digest=sha256:a7b934823d9255e0043e0f1d68cd2aa066231f52b59a7e0218cbb856ac355514

Pith citing papers

Observation c123a101-e3eb-48f2-beb5-d86e16ba3d08 · inbound

Adversarial Diffusion Across Modalities: A Fusion Survey of Attacks, Defenses, and Evaluation for Text, Vision, and Vision-Language Models cites this paper.

Adversarial Diffusion Across Modalities: A Fusion Survey of Attacks, Defenses, and Evaluation for Text, Vision, and Vision-Language Models BadPatch: Diffusion-Based Generation of Physical Adversarial Patches

Reference 70

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verified exact
arxiv_id, observed 2026-06-26T04:38:59.130159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-26T04:35:51.583460Z digest=sha256:12f6f300059b8f9950c9ba035c096f864dbad7aa057e09ddc5c02f7d72710573