Paper Citation Record · LEDGER

AdvFaces: Adversarial Face Synthesis

As of 23 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:1908.05008.

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

pith.paper-citation-record.v1
1908.05008 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:30:49.093406Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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 exact1
verified fuzzy28
unresolved15
parse uncertain0
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4aaec03b-5055-45b3-a803-2cf9c3d2d5a1 · outbound

This paper cites an unresolved cited work.

AdvFaces: Adversarial Face Synthesis Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:30:49.736449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation be081667-ea87-4ec3-9d64-6770ba595669 · outbound

This paper cites Adversarial Transformation Networks: Learning to Generate Adversarial Examples.

AdvFaces: Adversarial Face Synthesis Adversarial Transformation Networks: Learning to Generate Adversarial Examples

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-14T13:30:48.893868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 666f51b5-a62a-49e6-8da5-bde8faccf12f · outbound

This paper cites Adversarial attacks on face detectors using neural net based constrained opti- mization.

AdvFaces: Adversarial Face Synthesis Adversarial attacks on face detectors using neural net based constrained opti- mization

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:49.723168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bae6a70d-612a-4d23-8472-5d398882cd41 · outbound

This paper cites Towards evaluating the robustness of neural networks.

AdvFaces: Adversarial Face Synthesis Towards evaluating the robustness of neural networks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:49.709515Z

Source-reported events for the cited work

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Observation 73c8bf63-e0a7-4c46-9d03-26582aad18ad · outbound

This paper cites Fast geometrically-perturbed adversarial faces.

AdvFaces: Adversarial Face Synthesis Fast geometrically-perturbed adversarial faces

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:49.695447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1ae79c81-654a-44ff-8e29-a1ea98c51b37 · outbound

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

AdvFaces: Adversarial Face Synthesis Arcface: Additive angular margin loss for deep face recognition

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:49.681465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2ae53790-dce8-4da1-a2ec-52f927a15d5a · outbound

This paper cites Deep generative image models using a laplacian pyramid of adver- sarial networks.

AdvFaces: Adversarial Face Synthesis Deep generative image models using a laplacian pyramid of adver- sarial networks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:49.667914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3bb394c1-3d66-4b58-a842-dbe77a072802 · outbound

This paper cites Boosting adversarial at- tacks with momentum.

AdvFaces: Adversarial Face Synthesis Boosting adversarial at- tacks with momentum

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:49.654356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fc703d82-bec1-4793-8012-8e5703063983 · outbound

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

AdvFaces: Adversarial Face Synthesis Efﬁcient decision-based black- box adversarial attacks on face recognition

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:49.640730Z

Source-reported events for the cited work

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Observation 78fde251-ab5f-4924-8cd6-2ed8dad25c03 · outbound

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

AdvFaces: Adversarial Face Synthesis Robust Physical-World Attacks on Deep Learning Models

Reference 10

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Source-reported events for the cited work

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Observation 71e64ffe-bdf0-4f8a-9d6b-1a884c189b7b · outbound

This paper cites Im- age style transfer using convolutional neural networks.

AdvFaces: Adversarial Face Synthesis Im- age style transfer using convolutional neural networks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:49.626138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 01ceb098-73ec-4ccb-b18a-c804a956231b · outbound

This paper cites Generative adversarial nets.

AdvFaces: Adversarial Face Synthesis Generative adversarial nets

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:49.610399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 25f221a2-6975-4f8c-9584-0eea3771eff2 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

AdvFaces: Adversarial Face Synthesis Explaining and Harnessing Adversarial Examples

Reference 13

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Source-reported events for the cited work

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Observation 4d8f7826-edf5-4b35-9098-f51584c08b1d · outbound

This paper cites Unravelling robustness of deep learning based face recognition against adversarial attacks.

AdvFaces: Adversarial Face Synthesis Unravelling robustness of deep learning based face recognition against adversarial attacks

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:49.596581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 93df0ea8-0d23-43ca-a119-f31263da6f38 · outbound

This paper cites Report on the evaluation of 2d still-image face recognition algorithms.

AdvFaces: Adversarial Face Synthesis Report on the evaluation of 2d still-image face recognition algorithms

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:49.582397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 96161adb-4c19-4dc3-9038-f375187b4ce1 · outbound

This paper cites Huang, Manu Ramesh, Tamara Berg, and Erik Learned-Miller.

AdvFaces: Adversarial Face Synthesis Huang, Manu Ramesh, Tamara Berg, and Erik Learned-Miller

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:49.568490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 69b30a2e-78b5-4c65-a100-cd1401becdd8 · outbound

This paper cites Image-to-image translation with conditional adver- sarial networks.

AdvFaces: Adversarial Face Synthesis Image-to-image translation with conditional adver- sarial networks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:49.554210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 12a156e5-f0d5-4e35-9991-762c151bb883 · outbound

This paper cites Perceptual losses for real-time style transfer and super-resolution.

AdvFaces: Adversarial Face Synthesis Perceptual losses for real-time style transfer and super-resolution

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T13:30:48.968089Z

Source-reported events for the cited work

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Observation eb071616-99fd-40f4-af4e-627c798cf240 · outbound

This paper cites Adversarial Machine Learning at Scale.

AdvFaces: Adversarial Face Synthesis Adversarial Machine Learning at Scale

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-14T13:30:48.972123Z

Source-reported events for the cited work

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Observation 91d169e2-9e47-4353-9448-6e10c9536b43 · outbound

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

AdvFaces: Adversarial Face Synthesis Sphereface: Deep hypersphere embedding for face recognition

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:49.531043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bbbee2c0-298f-4ad1-ba7d-6e9fac3fc569 · outbound

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

AdvFaces: Adversarial Face Synthesis Delving into Transferable Adversarial Examples and Black-box Attacks

Reference 21

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Source-reported events for the cited work

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Observation 4366ed31-cc96-46d8-b644-04da02a98e7a · outbound

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

AdvFaces: Adversarial Face Synthesis Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-14T13:30:48.985789Z

Source-reported events for the cited work

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Observation 06f63835-dc40-4a25-a5ef-d331d717537d · outbound

This paper cites Disentan- gling factors of variation in deep representation using adver- sarial training.

AdvFaces: Adversarial Face Synthesis Disentan- gling factors of variation in deep representation using adver- sarial training

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:49.518085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1e960399-73c6-46f6-ae23-e09faaea0f5a · outbound

This paper cites Universal adversarial perturba- tions.

AdvFaces: Adversarial Face Synthesis Universal adversarial perturba- tions

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:49.504104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 28a9aac4-96ec-4dff-a23f-72ca60581f02 · outbound

This paper cites Deepfool: a simple and accurate method to fool deep neural networks.

AdvFaces: Adversarial Face Synthesis Deepfool: a simple and accurate method to fool deep neural networks

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:49.490981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5f0767d4-ee2a-4499-abf1-0c0c18528db5 · outbound

This paper cites The limitations of deep learning in adversarial settings.

AdvFaces: Adversarial Face Synthesis The limitations of deep learning in adversarial settings

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:49.477252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8ae94be9-3c77-46fd-8106-0f252fef1fd1 · outbound

This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

AdvFaces: Adversarial Face Synthesis Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Reference 28

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Source-reported events for the cited work

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Observation e232c1d8-6d65-4600-9e43-6282a07c77dd · outbound

This paper cites Ratha, Jonathan H.

AdvFaces: Adversarial Face Synthesis Ratha, Jonathan H

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:49.464257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7fda558e-252a-40b7-83b5-0b4e12238c82 · outbound

This paper cites Improved techniques for training gans.

AdvFaces: Adversarial Face Synthesis Improved techniques for training gans

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:49.451158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7394ae27-9928-42bf-8a7d-ac8537b2d669 · outbound

This paper cites Facenet: A uniﬁed embedding for face recognition and clus- tering.

AdvFaces: Adversarial Face Synthesis Facenet: A uniﬁed embedding for face recognition and clus- tering

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:49.437024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3c694e26-c415-45f2-9168-df2af66681a5 · outbound

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

AdvFaces: Adversarial Face Synthesis Accessorize to a crime: Real and stealthy attacks on state-of-the-art face recognition

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:49.423871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8d858851-7109-4395-a34a-9e2acad0946c · outbound

This paper cites A general framework for adversarial ex- amples with objectives.

AdvFaces: Adversarial Face Synthesis A general framework for adversarial ex- amples with objectives

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e097fe2f-b84b-419a-b17a-4099d978b155 · outbound

This paper cites Attacks on State-of-the-Art Face Recognition using Attentional Adversarial Attack Generative Network.

AdvFaces: Adversarial Face Synthesis Attacks on State-of-the-Art Face Recognition using Attentional Adversarial Attack Generative Network

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5fe39a68-2593-40cc-9e39-fe7d7c7e5ce0 · outbound

This paper cites Constructing unrestricted adversarial examples with genera- tive models.

AdvFaces: Adversarial Face Synthesis Constructing unrestricted adversarial examples with genera- tive models

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:49.397458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cdb25866-bad3-4a0e-a744-faa5f8a5d170 · outbound

This paper cites Intriguing properties of neural networks.

AdvFaces: Adversarial Face Synthesis Intriguing properties of neural networks

Reference 36

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Source-reported events for the cited work

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Observation 3f35e92d-3390-43ed-bcdc-8f45118824f9 · outbound

This paper cites Texture networks: Feed-forward synthesis of textures and stylized images.

AdvFaces: Adversarial Face Synthesis Texture networks: Feed-forward synthesis of textures and stylized images

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:49.383533Z

Source-reported events for the cited work

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Observation e0b50a70-fb78-4ccb-a6a5-6c0629fcdc7b · outbound

This paper cites Customs and Border Protection.

AdvFaces: Adversarial Face Synthesis Customs and Border Protection

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:49.369149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 669d9a35-bc0d-407b-aec0-0fb33470eadf · outbound

This paper cites AT-GAN: An Adversarial Generator Model for Non-constrained Adversarial Examples.

AdvFaces: Adversarial Face Synthesis AT-GAN: An Adversarial Generator Model for Non-constrained Adversarial Examples

Reference 39

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Source-reported events for the cited work

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Observation e5627c98-c5dd-494e-93f4-e287305f3caf · outbound

This paper cites Structural similarity.

AdvFaces: Adversarial Face Synthesis Structural similarity

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:49.355603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation beeb8f1d-3af2-4628-a34e-9921ca74e4ed · outbound

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AdvFaces: Adversarial Face Synthesis Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:30:49.342401Z

Source-reported events for the cited work

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Observation 010b340b-37e0-43d8-adf2-f5309b99db48 · outbound

This paper cites Generating Adversarial Examples with Adversarial Networks.

AdvFaces: Adversarial Face Synthesis Generating Adversarial Examples with Adversarial Networks

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-14T13:30:49.074498Z

Source-reported events for the cited work

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Observation f9e24e92-f255-43fb-9a1f-de96fd9ab59e · outbound

This paper cites Spatially Transformed Adversarial Examples.

AdvFaces: Adversarial Face Synthesis Spatially Transformed Adversarial Examples

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-14T13:30:49.080069Z

Source-reported events for the cited work

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Observation 308d1e90-f468-4ddb-b32e-93a3e09b94f2 · outbound

This paper cites Learning Face Representation from Scratch.

AdvFaces: Adversarial Face Synthesis Learning Face Representation from Scratch

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-14T13:30:49.084799Z

Source-reported events for the cited work

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Observation 5bf13380-68a5-43a8-8a40-883109376e55 · outbound

This paper cites Joint face detection and alignment using multitask cascaded convolutional networks.

AdvFaces: Adversarial Face Synthesis Joint face detection and alignment using multitask cascaded convolutional networks

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:49.327728Z

Source-reported events for the cited work

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Observation 425569a8-5c18-4002-bde9-e6cf9cd645d9 · outbound

This paper cites adversarial mask.

AdvFaces: Adversarial Face Synthesis adversarial mask

Reference 46

Resolution: malformed identifier; raw_fallback, observed 2026-08-14T13:30:49.314015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.