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Paper Citation Record · LEDGER

A Survey of Black-Box Adversarial Attacks on Computer Vision Models

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:1912.01667.

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

pith.paper-citation-record.v1
1912.01667 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:42:35.612203Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T07:55:33.039558Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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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 31306a36-68cf-48c4-825f-8a85b4d0b0c2 · inbound

EMPRA: Embedding Perturbation Rank Attack against Neural Ranking Models cites this paper.

EMPRA: Embedding Perturbation Rank Attack against Neural Ranking Models A Survey of Black-Box Adversarial Attacks on Computer Vision Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-11T10:42:35.612203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:42:35.612203Z digest=sha256:f3895b741ef8889f58c011d17a8eaf3ab530834f649991da76432358eedb4e33

Observation 7addbcee-d4be-4289-9b63-23088f1c0322 · inbound

With Great Backbones Comes Great Adversarial Transferability cites this paper.

With Great Backbones Comes Great Adversarial Transferability A Survey of Black-Box Adversarial Attacks on Computer Vision Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T17:24:21.484439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:24:21.484439Z digest=sha256:2c1e0e37939b49135a5f3ec80a822668f8e6528c85aab938a8790846230d5d77

Observation 7d43d78b-2b66-4774-8f85-782f0a5d9d7a · inbound

The Relationship Between Network Similarity and Transferability of Adversarial Attacks cites this paper.

The Relationship Between Network Similarity and Transferability of Adversarial Attacks A Survey of Black-Box Adversarial Attacks on Computer Vision Models

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-10T13:39:29.246475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:39:29.246475Z digest=sha256:ed06c3c7b5f015ff6753bf93db35c42ad3ba784b8f6f302fd6e4dbca67d5c9b2

Observation 32948e59-c858-4f17-9410-1d6ebc171002 · inbound

Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection cites this paper.

Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection A Survey of Black-Box Adversarial Attacks on Computer Vision Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-08T15:42:52.887158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T15:42:52.887158Z digest=sha256:a7ff67e427aaab204f425b961e50b7cd1d461a5e78716f4387b777e247d62a2e

Observation 020c29b9-4344-4212-bfea-e6960d310056 · inbound

Consensus-based optimization for closed-box adversarial attacks and a connection to evolution strategies cites this paper.

Consensus-based optimization for closed-box adversarial attacks and a connection to evolution strategies A Survey of Black-Box Adversarial Attacks on Computer Vision Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T21:31:51.108963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:31:51.108963Z digest=sha256:2d5c1f383e4b226db8366c931dc1ac96e5c2eac434d0d3f5d3edb1b94a7086ba

Observation 1cb7dea0-1a6b-4907-a746-527bb928a6b7 · inbound

False Alarms, Real Damage: Adversarial Attacks Using LLM-based Models on Text-based Cyber Threat Intelligence Systems cites this paper.

False Alarms, Real Damage: Adversarial Attacks Using LLM-based Models on Text-based Cyber Threat Intelligence Systems A Survey of Black-Box Adversarial Attacks on Computer Vision Models

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-25T07:55:33.042743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-25T07:54:51.925530Z digest=sha256:b0c6801f7351f8e98b911976ef8df30a2b4c0d5bd461d0eb8605b4cde7ce33e8

Observation 6c20f54a-e2ce-4679-9e34-c98786363a27 · inbound

Attacking interpretable NLP systems cites this paper.

Attacking interpretable NLP systems A Survey of Black-Box Adversarial Attacks on Computer Vision Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T15:22:29.960073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:22:29.960073Z digest=sha256:c5341f0b601c89389e2b4215c33c6d304c649feebb53362f0706cc3d21a4daca

Observation b0aeb0de-2946-4d88-96c9-040507bbbf12 · inbound

A Unified Perspective on Adversarial Membership Manipulation in Vision Models cites this paper.

A Unified Perspective on Adversarial Membership Manipulation in Vision Models A Survey of Black-Box Adversarial Attacks on Computer Vision Models

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:08:12.939748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T20:05:32.965273Z digest=sha256:84aa2a93cffc81360aa7b723121448ba03526da828da9f99b34e76d9eea0c69c

Observation 93bcdc8b-e948-48dc-9b02-ce424f3719d6 · inbound

AdvNav: Behavior-Guided Black-Box Adversarial Attacks on Vision-Language Navigation cites this paper.

AdvNav: Behavior-Guided Black-Box Adversarial Attacks on Vision-Language Navigation A Survey of Black-Box Adversarial Attacks on Computer Vision Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-14T07:19:25.986044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T07:19:25.986044Z digest=sha256:81b229367b43fe514480ef13551c41b12510e272836ac59e4e5d8264c8979a0f

Observation 7b2de98f-4d83-4fff-ac01-1120380fdb4a · inbound

AdvNav: Behavior-Guided Black-Box Adversarial Attacks on Vision-Language Navigation cites this paper.

AdvNav: Behavior-Guided Black-Box Adversarial Attacks on Vision-Language Navigation A Survey of Black-Box Adversarial Attacks on Computer Vision Models

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-02T07:05:51.859656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:05:51.859656Z digest=sha256:dfba334a581e07b6a6bb9175ac6eddcffaff59cff8bc18eeac30c97d57aeb3e8