Paper Citation Record · LEDGER

Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples

As of 19 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2505.03383.

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

pith.paper-citation-record.v1
2505.03383 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:57:04.580640Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

31 of 31 outbound references displayed

verified exact0
verified fuzzy23
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a43bba9e-6360-449d-af09-2fea4c55c4a9 · outbound

This paper cites Black-box adversarial attacks with limited queries and information,.

Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples Black-box adversarial attacks with limited queries and information,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:57:05.066087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b4781bf3-cf69-4a11-b41d-707e563b1b31 · outbound

This paper cites Query- efficient black-box adversarial attacks guided by a transfer- based prior,.

Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples Query- efficient black-box adversarial attacks guided by a transfer- based prior,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:57:05.050195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c4385f81-f2ef-44d0-8892-a2cf4f231d35 · outbound

This paper cites Query- efficient black-box adversarial attack with customized iteration and sampling,.

Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples Query- efficient black-box adversarial attack with customized iteration and sampling,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:57:05.035129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0a09b4b7-24a2-4685-914b-934417b01197 · outbound

This paper cites Boosting query efficiency of meta attack with dynamic fine-tuning,.

Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples Boosting query efficiency of meta attack with dynamic fine-tuning,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:57:05.020028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b5d1dc5e-cfcb-4855-b2ed-aaf922c14224 · outbound

This paper cites Substitute meta-learning for black-box adversarial attack,.

Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples Substitute meta-learning for black-box adversarial attack,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:57:05.004139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7b143d01-5049-4e1b-8534-6b07017d70d5 · outbound

This paper cites Improving transferability of adversarial examples with input diversity,.

Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples Improving transferability of adversarial examples with input diversity,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:57:04.986949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7c96d5b4-b5c3-4aab-b393-2d47108bbdb7 · outbound

This paper cites Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks.

Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T23:57:04.467221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6df4444-97d9-45e4-8a1a-4b4d0acf8ea0 · outbound

This paper cites Feature importance-aware transferable adversarial attacks,.

Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples Feature importance-aware transferable adversarial attacks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:57:04.969447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5391009e-c1e3-4024-b2a6-d4dbe4e32580 · outbound

This paper cites Improving adversarial transferability via neuron attribution-based attacks,.

Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples Improving adversarial transferability via neuron attribution-based attacks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:57:04.953572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e0bc57c8-ceea-4ae6-aaf4-0f127826a9f2 · outbound

This paper cites RobFR: Benchmarking Adversarial Robustness on Face Recognition.

Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples RobFR: Benchmarking Adversarial Robustness on Face Recognition

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T23:57:04.481879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28c5857e-0101-499c-af1f-b6e06c715977 · outbound

This paper cites Cue saliency in faces as assessed by the ‘photofit’technique,.

Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples Cue saliency in faces as assessed by the ‘photofit’technique,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:57:04.938246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b3490d28-344d-489f-a2a8-ff36fc0b9710 · outbound

This paper cites Evading defenses to transferable adversarial examples by translation-invariant attacks,.

Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples Evading defenses to transferable adversarial examples by translation-invariant attacks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:57:04.922132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7adcdb20-7f22-4ba1-b214-ee11343aa4ed · outbound

This paper cites Boosting adversarial attacks with momentum,.

Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples Boosting adversarial attacks with momentum,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:57:04.906631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e0efca12-ffc7-44cc-ba29-467d7567e8c1 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples Explaining and Harnessing Adversarial Examples

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T23:57:04.500881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92d6a0de-6171-4cd2-a043-5798b55ee6ab · outbound

This paper cites Adversarial examples in the physical world,.

Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples Adversarial examples in the physical world,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T23:57:04.505749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c38b825e-b148-4a3d-9ffb-7c1107c13095 · outbound

This paper cites Boosting adversarial transferability by achieving flat local maxima,.

Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples Boosting adversarial transferability by achieving flat local maxima,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:57:04.879080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2c1877e9-a0e6-4c86-a236-489c3e652714 · outbound

This paper cites Improving the transferability of adversarial examples with arbitrary style transfer,.

Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples Improving the transferability of adversarial examples with arbitrary style transfer,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:57:04.862911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3000eafd-af68-4451-b011-8a30c3793572 · outbound

This paper cites Adversarial attack on object detection via object feature- wise attention and perturbation extraction,.

Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples Adversarial attack on object detection via object feature- wise attention and perturbation extraction,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:57:04.847324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e86c0f40-699f-4186-859e-ecf0ab841394 · outbound

This paper cites Learning transferable adversarial perturbations,.

Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples Learning transferable adversarial perturbations,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:57:04.832038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 15fa438c-86a5-425f-a90e-49dc3e19ff94 · outbound

This paper cites Human face perception and identification,.

Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples Human face perception and identification,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:57:04.816977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e6645d23-6b1b-4b1d-a944-4368344ea8c8 · outbound

This paper cites Identity mappings in deep residual networks,.

Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples Identity mappings in deep residual networks,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T23:57:04.535027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4e87b52-dec3-48e9-a8d7-573f77c6b0f8 · outbound

This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks,.

Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples Mobilenetv2: Inverted residuals and linear bottlenecks,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T23:57:04.539376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78f9ab75-5997-44ac-8b9a-f6e8acb52e2e · outbound

This paper cites Labeled faces in the wild: A database forstudying face recognition in unconstrained environments,.

Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples Labeled faces in the wild: A database forstudying face recognition in unconstrained environments,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:57:04.782989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0e9e8ee4-48ce-4164-be8d-5984ae67a736 · outbound

This paper cites Facenet: A unified embedding for face recognition and clustering,.

Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples Facenet: A unified embedding for face recognition and clustering,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:57:04.767823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f6966293-16eb-4b1b-9014-732e4cdf6f72 · outbound

This paper cites Sphereface: Deep hypersphere embedding for face recognition,.

Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples Sphereface: Deep hypersphere embedding for face recognition,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:57:04.751275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5609c6e7-243b-4ad2-ae98-7f6f37208834 · outbound

This paper cites Cosface: Large margin cosine loss for deep face recognition,.

Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples Cosface: Large margin cosine loss for deep face recognition,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:57:04.736558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c6871db5-fe71-4805-9404-badbc8538fa7 · outbound

This paper cites Arcface: Additive angular margin loss for deep face recognition,.

Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples Arcface: Additive angular margin loss for deep face recognition,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:57:04.721013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0fedd5cf-6545-45b2-b210-d5574be6e00e · outbound

This paper cites Mobilefacenets: Efficient cnns for accurate real-time face verification on mobile devices,.

Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples Mobilefacenets: Efficient cnns for accurate real-time face verification on mobile devices,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:57:04.706248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation adadba67-7b2f-46fb-9d51-c69b0fe6c6b0 · outbound

This paper cites Shufflenet: An extremely efficient convolutional neural network for mobile devices,.

Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples Shufflenet: An extremely efficient convolutional neural network for mobile devices,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:57:04.690870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 956b6bac-7998-4108-8010-13745290cdf0 · outbound

This paper cites SmoothGrad: removing noise by adding noise.

Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples SmoothGrad: removing noise by adding noise

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T23:57:04.575824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74dd1a85-bacd-4eac-a86d-ac8dfa542fe4 · outbound

This paper cites Deep residual learning for image recognition,.

Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples Deep residual learning for image recognition,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T23:57:04.580640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.