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Paper Citation Record · LEDGER

Adversarial Attack Against Images Classification based on Generative Adversarial Networks

As of 14 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 3 inbound Pith citation observations for arXiv:2412.16662.

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

pith.paper-citation-record.v1
2412.16662 v2

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:24:53.286483Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:19:18.445840Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:34:11.911738Z

Reference resolution

18 of 18 outbound references displayed

  • verified exact1
  • verified fuzzy16
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 165cac87-beb8-44bb-85bb-1851c571d8c5 · outbound

This paper cites A survey on generative adversarial net -works: Variants, applications, and training.

Adversarial Attack Against Images Classification based on Generative Adversarial Networks A survey on generative adversarial net -works: Variants, applications, and training

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:24:54.049250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 0b1eb8bd-0924-4c39-ab52-c746e2300cdf · outbound

This paper cites Gener ative adversarial networks.

Adversarial Attack Against Images Classification based on Generative Adversarial Networks Gener ative adversarial networks

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-11T10:24:54.005713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 0c858378-da3a-49a6-bbf6-26ea75969765 · outbound

This paper cites Training generative adversarial networks with limited data.

Adversarial Attack Against Images Classification based on Generative Adversarial Networks Training generative adversarial networks with limited data

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-11T10:24:53.977889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation da0cafb2-f1da-4e0d-a049-635af3b5bd41 · outbound

This paper cites Generative adversarial networks for image and video synthesis: Algorithms and applications.

Adversarial Attack Against Images Classification based on Generative Adversarial Networks Generative adversarial networks for image and video synthesis: Algorithms and applications

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-11T10:24:53.935272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T10:24:53.143320Z digest=sha256:f64327a2db8b2ec8e28b2a74f9376d8f8d99886cdf88ecedb3011bff78e571cd

Observation fb1385ca-cf39-4bfe-b0e4-8d549174988a · outbound

This paper cites Generative adversarial networks in computer vision: A survey and taxon omy.

Adversarial Attack Against Images Classification based on Generative Adversarial Networks Generative adversarial networks in computer vision: A survey and taxon omy

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-11T10:24:53.898310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T10:24:53.152192Z digest=sha256:f2ab1ac21215ed6212fe5a7acdba73b301896fc3eaf0175c2f26714dca8e47bd

Observation 1888a952-9084-4b92-a1c4-1102a4678869 · outbound

This paper cites Alias -free generative adversarial networks.

Adversarial Attack Against Images Classification based on Generative Adversarial Networks Alias -free generative adversarial networks

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-11T10:24:53.866632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 260bb5a5-934a-49d0-8921-11bb94a702f0 · outbound

This paper cites A u -net based discriminator for generative adversarial networks.

Adversarial Attack Against Images Classification based on Generative Adversarial Networks A u -net based discriminator for generative adversarial networks

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-11T10:24:53.835524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 0c7053ee-28d7-4f81-8e5b-1c6a224e40e5 · outbound

This paper cites Regularizing generative adversarial networks under limited da -ta.

Adversarial Attack Against Images Classification based on Generative Adversarial Networks Regularizing generative adversarial networks under limited da -ta

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-11T10:24:53.812293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation cda5dc6a-55b6-499d-a552-337766a56c87 · outbound

This paper cites Gradient normalization for generative adversarial networks.

Adversarial Attack Against Images Classification based on Generative Adversarial Networks Gradient normalization for generative adversarial networks

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-11T10:24:53.791951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T10:24:53.199514Z digest=sha256:0e401b970d59b561c22e9288a4a65448edf1ca052b62421f0a7a29927f577d24

Observation aa516a7e-746e-4800-8f9e-7c4b019912a8 · outbound

This paper cites Ccgan: Continuous conditional generative adversarial networks for image generation.

Adversarial Attack Against Images Classification based on Generative Adversarial Networks Ccgan: Continuous conditional generative adversarial networks for image generation

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-11T10:24:53.773056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 12b572c9-0bfd-4119-8f07-ff41ac156c6a · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Adversarial Attack Against Images Classification based on Generative Adversarial Networks Explaining and Harnessing Adversarial Examples

Reference 11

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unresolved
no resolver link, observed 2026-08-11T10:24:53.214142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:24:53.214142Z digest=sha256:5e0cb26ed1b40e5d5e94ecb075e55f9dc63892ed4f81290b382a296cd0ecf163

Observation b112237a-1a26-4157-8b0f-e1ebd5e2763d · outbound

This paper cites Adversarial examples in the physical world.

Adversarial Attack Against Images Classification based on Generative Adversarial Networks Adversarial examples in the physical world

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:24:53.752868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T10:24:53.225031Z digest=sha256:ae530935803c04d154c7d9c33db3e4094a615752f6ac2ab9e73987c4c98360d6

Observation f85b3b20-5258-4b0e-ac59-b1d109417510 · outbound

This paper cites Adversarial perturbations fool deepfake detectors.

Adversarial Attack Against Images Classification based on Generative Adversarial Networks Adversarial perturbations fool deepfake detectors

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:24:53.725412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T10:24:53.233911Z digest=sha256:2e927f23e8348a658d8937705d5b83aa4c1ed88e1c5674ef43565537da096fe0

Observation 2d6c30a7-7d16-43ec-832c-f73cbe46acd0 · outbound

This paper cites Adversarial out-domain examples for generative models.

Adversarial Attack Against Images Classification based on Generative Adversarial Networks Adversarial out-domain examples for generative models

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-11T10:24:53.673115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T10:24:53.244985Z digest=sha256:4385b30d7a43788d5ad312db77f27d52a8c60fd667627917104514081dd96bd2

Observation 56506f89-bd47-4f86-a96b-455ad221179c · outbound

This paper cites Trojan attack on deep generative models in autonomous driving.

Adversarial Attack Against Images Classification based on Generative Adversarial Networks Trojan attack on deep generative models in autonomous driving

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:24:53.648691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T10:24:53.253063Z digest=sha256:95409540d6fd3a594c1c94164cba33820421d4ea655a771a67ae9226d6ab4fa4

Observation 6740f6a0-aed1-45a8-90ce-7906049ebeb1 · outbound

This paper cites Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations.

Adversarial Attack Against Images Classification based on Generative Adversarial Networks Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations

Reference 16

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verified exact
local_arxiv, observed 2026-08-11T10:24:53.413987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T10:24:53.265035Z digest=sha256:0b5e729b5a18862371e46829da7feffcf265d9306dca49368845963b827a02a9

Observation 14993dc3-59d7-4b6c-880b-37e87a22b71a · outbound

This paper cites Fawkes: Protecting privacy against unauthorized deep learning models.

Adversarial Attack Against Images Classification based on Generative Adversarial Networks Fawkes: Protecting privacy against unauthorized deep learning models

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-11T10:24:53.571851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T10:24:53.276073Z digest=sha256:9ae6e13afed87bce0bcc419be4e46fc86bd072e942731b341267cc1e9bbbb8cb

Observation affa5539-5a7b-4c84-9a9a-3561693031a6 · outbound

This paper cites Disrupting image -translation-based deepfake algorithms with adversaria l attacks.

Adversarial Attack Against Images Classification based on Generative Adversarial Networks Disrupting image -translation-based deepfake algorithms with adversaria l attacks

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:24:53.543779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T10:24:53.286483Z digest=sha256:e144a593b2cbdb851fd5cfc1da2d421f38b549b6a3ace9c0ce8783c67b3c398c

Pith citing papers

Observation e83a6ccb-df6b-4d46-a85a-1acd69fa3bab · inbound

Multi-Scale Transformer Architecture for Accurate Medical Image Classification cites this paper.

Multi-Scale Transformer Architecture for Accurate Medical Image Classification Adversarial Attack Against Images Classification based on Generative Adversarial Networks

Reference 8

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unresolved
no resolver link, observed 2026-08-08T16:19:18.445840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:19:18.445840Z digest=sha256:8186813f2bb312296fe5b7e0ed618d80252417aafaaf7b0c081f553175458e38

Observation 9c59042f-7ac2-4ed7-a6f7-716c4132d2ea · inbound

A Deep Learning Approach to Interface Color Quality Assessment in HCI cites this paper.

A Deep Learning Approach to Interface Color Quality Assessment in HCI Adversarial Attack Against Images Classification based on Generative Adversarial Networks

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T20:08:30.872999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:08:30.872999Z digest=sha256:5830a5f16172476b92074d1ea37e2014129d077b3d248137a957767cdeb5d0b1

Observation 1ecc013e-8d2f-4ca3-8dde-c89d2060dfa0 · inbound

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems cites this paper.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Adversarial Attack Against Images Classification based on Generative Adversarial Networks

Reference 252

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:34:11.915673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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