Paper Citation Record · LEDGER

Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2105.03162.

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

pith.paper-citation-record.v1
2105.03162 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:00:15.523748Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:40:07.393134Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 93be2466-ebe4-4b41-995d-bdfc85f91fc8 · inbound

Non-Adaptive Adversarial Face Generation cites this paper.

Non-Adaptive Adversarial Face Generation Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-06T17:03:34.324751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7079cf2b-ab7f-49bb-904b-316e665f4d6b · inbound

Personalized Face Privacy Protection From a Single Image cites this paper.

Personalized Face Privacy Protection From a Single Image Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:03:13.815881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6fdf58c1-7466-4d14-bb25-792f204d224d · inbound

Adv-TGD: Adversarial Text-Guided Diffusion for Face Recognition Impersonation Attacks cites this paper.

Adv-TGD: Adversarial Text-Guided Diffusion for Face Recognition Impersonation Attacks Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-03T09:07:47.550366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a4c030fc-cd97-400b-92fe-f81843c586b0 · inbound

Transferable Attack against Face Swapping in an Extended Space cites this paper.

Transferable Attack against Face Swapping in an Extended Space Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:40:07.395946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3ba832c3-b694-4d9e-9847-44a610a5f429 · inbound

Hiding in Plain Sight: An Effective Physical Adversarial Patch Attack against Visual-Infrared Fused Face Detection cites this paper.

Hiding in Plain Sight: An Effective Physical Adversarial Patch Attack against Visual-Infrared Fused Face Detection Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition

Reference 184

Resolution: unresolved; no resolver link, observed 2026-07-31T23:55:41.802698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ebd75f1-80cd-433a-8e6a-dd92efd116bd · inbound

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle cites this paper.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T20:00:15.523748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.