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Paper Citation Record · LEDGER

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models

As of 20 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2504.15823.

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

pith.paper-citation-record.v1
2504.15823 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:22:06.379253Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

45 of 45 outbound references displayed

  • verified exact0
  • verified fuzzy38
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8bca8c91-5088-42ca-b92c-f63607f46651 · outbound

This paper cites Apple Platform Security , 2023.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Apple Platform Security , 2023

Reference 1

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raw_fallback, observed 2026-08-16T11:22:06.901169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:22:06.221616Z digest=sha256:6eeb4fbcf0bebf709ef5d9576aef7e1ea236118379e837580ecce0563e26c1b9

Observation 14c42f73-5e3b-41f4-8ffc-d42e10d660e5 · outbound

This paper cites Towards evaluating the robustness of neural networks.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Towards evaluating the robustness of neural networks

Reference 2

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no resolver link, observed 2026-08-16T11:22:06.225604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:22:06.225604Z digest=sha256:11d565f0696c76ab2ffaf473d7fb8869ac86a2c6d95c9f959b2a09abaea75ae3

Observation a26f4a50-6306-409e-a6a4-339252bccf02 · outbound

This paper cites Facial recognition application for border control.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Facial recognition application for border control

Reference 3

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raw_fallback, observed 2026-08-16T11:22:06.883432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:22:06.229265Z digest=sha256:4d7dfd91efe904ece55a5dc8abbcdfdafd39204f5d34830615e392a7f075ca08

Observation 4ef8a41e-b90b-4e37-af29-8062f17a6876 · outbound

This paper cites Zoo: Zeroth order optimization based black- box attacks to deep neural networks without training substi- tute models.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Zoo: Zeroth order optimization based black- box attacks to deep neural networks without training substi- tute models

Reference 4

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raw_fallback, observed 2026-08-16T11:22:06.873351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:22:06.232804Z digest=sha256:61f471b7021c627548e5e6cea16c8852857dd27189d178d5e9fd6c460baef3f0

Observation c8b8c9ff-c6f2-4b9c-8276-e669940fe70b · outbound

This paper cites Universal adversarial attack on attention and the resulting dataset damagenet.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Universal adversarial attack on attention and the resulting dataset damagenet

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:22:06.236558Z digest=sha256:6968e823ebeb2f6f7ca193d14273549ca0165acc81cdad7b63f123264466864c

Observation 6fb0840c-3cb2-4caa-a0c7-8461c964edb5 · outbound

This paper cites Accessorize in the dark: A security analysis of near-infrared face recognition.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Accessorize in the dark: A security analysis of near-infrared face recognition

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-16T11:22:06.852555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:22:06.240127Z digest=sha256:f644a27ca7bd7b3b7180a359344d15545207278f6380595d5b3bb2c4b612ad6a

Observation d21906bc-8a36-4b6e-869a-1d3c3398613e · outbound

This paper cites The numerical evaluation of b-splines.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models The numerical evaluation of b-splines

Reference 7

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raw_fallback, observed 2026-08-16T11:22:06.842353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:22:06.243611Z digest=sha256:c4a849ce0173db8c8fc823eb78a049025c36bb5ad3f016035eeaa3b5cfa2b4d7

Observation 3313df00-2d43-460e-98b4-a51b985a71d7 · outbound

This paper cites Sparse-rs: a versatile framework for query-efficient sparse black-box ad- versarial attacks.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Sparse-rs: a versatile framework for query-efficient sparse black-box ad- versarial attacks

Reference 8

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raw_fallback, observed 2026-08-16T11:22:06.831895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:22:06.247169Z digest=sha256:706ed79bfd3fe59771f6dbc7d71d88872c0b8875453e0a374b0575575d9a61a7

Observation 9f3113f1-d6d2-4cee-9313-b0ffe1d5fa05 · outbound

This paper cites Boosting adversarial at- tacks with momentum.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Boosting adversarial at- tacks with momentum

Reference 9

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raw_fallback, observed 2026-08-16T11:22:06.820856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:22:06.250520Z digest=sha256:1794c7db853982f4fce9b8407a3cae76308a6a0116f554bd3e8cbe11179c2584

Observation e749581b-cd4c-4a6d-a065-189c61acfc78 · outbound

This paper cites Efficient decision-based black- box adversarial attacks on face recognition.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Efficient decision-based black- box adversarial attacks on face recognition

Reference 10

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raw_fallback, observed 2026-08-16T11:22:06.810079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:22:06.254065Z digest=sha256:1e592276fce9dba8dbff2a131916ef7924b6f9276714fe888cda28828f7f3317

Observation ab703ba7-9946-4e1d-944b-685b088ebf9d · outbound

This paper cites Dual variational generation for low shot heterogeneous face recognition.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Dual variational generation for low shot heterogeneous face recognition

Reference 11

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raw_fallback, observed 2026-08-16T11:22:06.799412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:22:06.257439Z digest=sha256:d627ae0103c230f32106683b0803cef34e72cdf9ada05d84604156ebcd7306c2

Observation d79eb5a3-67d4-446f-b820-e1771b27ac85 · outbound

This paper cites Dvg-face: Dual variational generation for heterogeneous face recognition.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Dvg-face: Dual variational generation for heterogeneous face recognition

Reference 12

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raw_fallback, observed 2026-08-16T11:22:06.789093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:22:06.260999Z digest=sha256:f1e503129fa9b63c822cdb134da7b53abcb60e893bc4c7e9afdfd90d8e118179

Observation 8878687c-e985-435e-b4b3-075c5a9b2ccb · outbound

This paper cites Heterogeneous face recog- nition: recent advances in infrared-to-visible matching.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Heterogeneous face recog- nition: recent advances in infrared-to-visible matching

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:22:06.778861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:22:06.264689Z digest=sha256:9b2a1ee92e220c080dab1d535454995d54103aeb4600e8be6d1866ba29774273

Observation 4f43dec4-a45d-4fd9-97dd-5ba3d3369373 · outbound

This paper cites Dual face align- ment learning network for nir-vis face recognition.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Dual face align- ment learning network for nir-vis face recognition

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-16T11:22:06.768472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:22:06.268099Z digest=sha256:c5417572938d7da6bb68f2431797ff53742278d1321cde2d09a0230eb4be71f6

Observation 2e6fc408-e4fb-4af9-841a-fd285ed4d36a · outbound

This paper cites The buaa-visnir face database instructions.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models The buaa-visnir face database instructions

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-16T11:22:06.758170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:22:06.271483Z digest=sha256:3f060ced9e2efd3c490f53f8c597251dd2acb812635bdf4c69c8e8375f733c7e

Observation f01755c8-73c8-44e4-a04f-81e9f58b1bd4 · outbound

This paper cites Mul- tilevel fusing paired visible light and near-infrared spectral images for face anti-spoofing.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Mul- tilevel fusing paired visible light and near-infrared spectral images for face anti-spoofing

Reference 16

Resolution
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raw_fallback, observed 2026-08-16T11:22:06.747393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:22:06.274981Z digest=sha256:36bf4ed0ba1db65c67b9b888a6911ffc03e4142657f0c85e93f2809f2efa7d57

Observation 04650238-91e7-4ed9-936b-4f44c3c8cd33 · outbound

This paper cites Advhat: Real- world adversarial attack on arcface face id system.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Advhat: Real- world adversarial attack on arcface face id system

Reference 17

Resolution
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raw_fallback, observed 2026-08-16T11:22:06.736189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:22:06.278423Z digest=sha256:c9a1550c6da68d9f37b911d30bb57c39acef6a6c440062eb37fd5ff41b984d4e

Observation 6c296094-518b-41d7-9418-7178cf7794a5 · outbound

This paper cites Recent advances in visual and infrared face recognition—a review.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Recent advances in visual and infrared face recognition—a review

Reference 18

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raw_fallback, observed 2026-08-16T11:22:06.724991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:22:06.281594Z digest=sha256:32fc28ba52a4ac4fd1cd8b17b97aa2a8ec0746bbea3fc685ed5b18229c0a51a7

Observation 3727fecf-0c33-4eff-bcab-886066ef86c1 · outbound

This paper cites Is facial recognition biased at near-infrared spectrum as well? In 2022 IEEE International Symposium on Technologies for Homeland Security (HST), pages 1–7.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Is facial recognition biased at near-infrared spectrum as well? In 2022 IEEE International Symposium on Technologies for Homeland Security (HST), pages 1–7

Reference 19

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raw_fallback, observed 2026-08-16T11:22:06.713999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:22:06.284836Z digest=sha256:9f0a8ca97b03412cd0df8903cc2e63a3f03d2659ee90ed3de08fdbfce42e62fb

Observation 737bb9ac-7c53-4496-be60-a537c11fff82 · outbound

This paper cites The casia nir-vis 2.0 face database.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models The casia nir-vis 2.0 face database

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-16T11:22:06.702937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:22:06.288204Z digest=sha256:a2e5df87911562e0f173f3ba8d1c2184569385e06ba773e4cc414f11d775b1ba

Observation 4ca974fe-c718-43dd-a575-5d302f7b4d96 · outbound

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

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models DPatch: An Adversarial Patch Attack on Object Detectors

Reference 21

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no resolver link, observed 2026-08-16T11:22:06.291708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:22:06.291708Z digest=sha256:06866071b519fdbff0b5bb18a7d0ccc6cc27facecb389de3b573033f9cd5666a

Observation 2bba1e4a-388e-46c6-a659-1d5402a58fce · outbound

This paper cites Delving into Transferable Adversarial Examples and Black-box Attacks.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Delving into Transferable Adversarial Examples and Black-box Attacks

Reference 22

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no resolver link, observed 2026-08-16T11:22:06.295347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:22:06.295347Z digest=sha256:218a69c49e72c815edfbd23ff12fb9159fd9755ee3e030c3129aa58b599eb965

Observation a868c22d-ebe0-42f3-ab2f-bc832915889d · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 23

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no resolver link, observed 2026-08-16T11:22:06.299153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:22:06.299153Z digest=sha256:dd99eaf03e73508c68b4b20b7e012fdde40dbf6f30097538c283dc16bf8c2bb0

Observation 34857e44-4c15-4ee9-986c-d982fa0d8118 · outbound

This paper cites Physically-based face render- ing for nir-vis face recognition.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Physically-based face render- ing for nir-vis face recognition

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:22:06.692072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:22:06.302995Z digest=sha256:912120df8a75c6063542db29695551548c16a8ed551750e73e3ed1e76f2e71f5

Observation 69e14654-224f-4041-b4b8-802d8ed82f7b · outbound

This paper cites Windows Hello for Business Overview, 2023.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Windows Hello for Business Overview, 2023

Reference 25

Resolution
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raw_fallback, observed 2026-08-16T11:22:06.680717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:22:06.306243Z digest=sha256:6bef19c5d9a641f176231eb93320a4c44411d4c27c8717e55f333211742c758a

Observation 8dea9cc0-c859-4948-814e-2fce75064a06 · outbound

This paper cites Reflectance quantities in optical remote sensing—definitions and case studies.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Reflectance quantities in optical remote sensing—definitions and case studies

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-16T11:22:06.670250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:22:06.309639Z digest=sha256:092fd5758d5d9a675cceebf2a4e30a7e7e587bc0ab0930b7de758a58b746fa46

Observation 9c0e32a3-65a1-41c9-8ad6-29fc43c31096 · outbound

This paper cites A simple explanation for the existence of adversarial examples with small hamming distance, 2019.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models A simple explanation for the existence of adversarial examples with small hamming distance, 2019

Reference 27

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raw_fallback, observed 2026-08-16T11:22:06.658495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:22:06.313132Z digest=sha256:431694a327c6863973be9fd59eb1fedb417c9f3b51976cc7fedbf690e4825e91

Observation f48eaadd-23fc-4b95-993e-4e13d9241f48 · outbound

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

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Accessorize to a crime: Real and stealthy attacks on state-of-the-art face recognition

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:22:06.646781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:22:06.316735Z digest=sha256:8724b498ecb187db5ac0af9259f24702868e8c01426a2ab4e5d1bf263b7016a6

Observation 70b3bbeb-0e8c-40e7-8f82-b0621675614b · outbound

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

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Vla: A practical visible light-based attack on face recognition systems in physical world

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:22:06.634578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:22:06.320319Z digest=sha256:7d65e0081fe3891c67e65bf0712712ec231fec7d5d10c5a29b482635e1764c99

Observation c31ba6ed-142d-4f4d-96e9-3ca11b4dbcf1 · outbound

This paper cites Intriguing properties of neural networks.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Intriguing properties of neural networks

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-16T11:22:06.323606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:22:06.323606Z digest=sha256:cf76868fdda3a2259b54c0da0f5030705d3d46a6fb7edb48b5a53a2672c02891

Observation 96f35c2e-8413-48ed-a7ea-71b774029ef9 · outbound

This paper cites Hard-label black-box universal adversarial patch attack.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Hard-label black-box universal adversarial patch attack

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:22:06.622206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:22:06.327234Z digest=sha256:cca09e89a3b0f73dbcce4dff019448f9279549e78933ee824a3cab7ad065ab04

Observation 04d5e768-c81b-490f-b085-ee4c92d70a1b · outbound

This paper cites Face recognition in real-world surveillance videos with deep learning method.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Face recognition in real-world surveillance videos with deep learning method

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:22:06.611700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:22:06.330973Z digest=sha256:7abbdf7ce01b6b67a4f46b1c4c621c289c669b5a8bc43cf8dbc16790ed6b0db2

Observation 2903367c-b76e-421c-a9dd-f4ea48a3a7ba · outbound

This paper cites The invisible polyjuice potion: An effective physical ad- versarial attack against face recognition.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models The invisible polyjuice potion: An effective physical ad- versarial attack against face recognition

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:22:06.599185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:22:06.334203Z digest=sha256:ac37ed494e4aaf3fa18692746d10e6ce035289c363cf870e6e6a0ef6f5866c44

Observation bbcf5768-94b8-4a48-8b27-3345acff79bc · outbound

This paper cites Hotcold block: Fooling thermal infrared detectors with a novel wearable de- sign.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Hotcold block: Fooling thermal infrared detectors with a novel wearable de- sign

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:22:06.586000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b6a25723-a7c6-40ab-b8df-4d1a37fcdd82 · outbound

This paper cites Adversarial sticker: A stealthy attack method in the physical world.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Adversarial sticker: A stealthy attack method in the physical world

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:22:06.575033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:22:06.341408Z digest=sha256:c2b23aaf3ebaa902d72892c644e83bbcbbdfeae9259842ce5770e60ad1e756cb

Observation 7012f29d-6414-4535-aa84-e7763abb32b6 · outbound

This paper cites Uni- fied adversarial patch for cross-modal attacks in the physical world.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Uni- fied adversarial patch for cross-modal attacks in the physical world

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:22:06.563544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:22:06.344701Z digest=sha256:7a997d9264955c688cb49111e5ef64624a01194ac011eff90e03616ec18c3c46

Observation d2db6ce9-be37-42bb-a3d7-696093944a14 · outbound

This paper cites Defending Against Physically Realizable Attacks on Image Classification.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Defending Against Physically Realizable Attacks on Image Classification

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T11:22:06.348615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:22:06.348615Z digest=sha256:0778a3cbd9bb3e2368062ef26f64d60f0909a8a63f5c354c272f95c00a80ce22

Observation 9c85c1bc-3688-41be-80cc-80a7ba913654 · outbound

This paper cites A light cnn for deep face representation with noisy labels.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models A light cnn for deep face representation with noisy labels

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:22:06.551871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:22:06.352456Z digest=sha256:d6e676031d79dd21162d5039a367966cee71ac7bf962459f9a4e9e066cbc653c

Observation 19b97f0a-9fb3-4569-a36d-cd78e4f04c60 · outbound

This paper cites Lamp-hq: A large-scale multi-pose high-quality database and benchmark for nir-vis face recognition.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Lamp-hq: A large-scale multi-pose high-quality database and benchmark for nir-vis face recognition

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:22:06.540138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:22:06.355773Z digest=sha256:72545ce543739f96348ca791873a1c69fbf43e82759f372b195d99c685499bec

Observation bd260e49-2df6-405f-9ac9-ab9656accccf · outbound

This paper cites Resnest: Split-attention networks.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Resnest: Split-attention networks

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:22:06.527530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:22:06.359990Z digest=sha256:e5c17f6276b5a9ada0056d881f4ec3f99aac30f3535bddd50bfe59ee0289c0de

Observation 89e5ab8c-cecf-4ec3-b18a-72cdcf5338c4 · outbound

This paper cites Facial expression recognition from near- infrared videos.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Facial expression recognition from near- infrared videos

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:22:06.515571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:22:06.364281Z digest=sha256:784e569cd6ebe87aa50a0be68de1276b9a4dff5cfb34c2114d0e05329f28e4f8

Observation cab2853d-1968-47de-bd70-f9ab9627dab1 · outbound

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

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Shadows can be dangerous: Stealthy and effective physical-world adversarial attack by natural phe- nomenon

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:22:06.503547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:22:06.367834Z digest=sha256:832547636c7163101514f4fb66351c951ea588a7535dce89c8f57dfd6d43d772

Observation 3b7afb33-4f72-442e-9fb2-c5038b27cb45 · outbound

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

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Invisible Mask: Practical Attacks on Face Recognition with Infrared

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-16T11:22:06.371342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:22:06.371342Z digest=sha256:366fe1f5bb688a781a111365a9e89dde751938bb95e2faf88622267ab04f3117

Observation e0389ef2-1c74-4929-9e51-caecfffb8557 · outbound

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

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Fooling thermal infrared pedestrian detectors in real world using small bulbs

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:22:06.491094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:22:06.375157Z digest=sha256:c4a363b370eb7cc0542603613ea1f99dfc222820f85931fdbb99dbc431e760af

Observation a478454a-7fb5-4416-a7ff-4a780d877cca · outbound

This paper cites Adversarial mask: Real-world universal adversarial at- tack on face recognition models.

Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Adversarial mask: Real-world universal adversarial at- tack on face recognition models

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:22:06.478780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:22:06.379253Z digest=sha256:5bbeadd9414b46998e474b64cc8fff37d843fbeb47feb7f040cee5bb013f9bd1

Pith citing papers

No inbound Pith citation observations are available.