Paper Citation Record · LEDGER

The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1911.02621.

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

pith.paper-citation-record.v1
1911.02621 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T01:09:00.101117Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T10:44:38.198286Z

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 d3ca6cde-8b95-4a61-915a-08bf111c44c2 · inbound

A Review of the Duality of Adversarial Learning in Network Intrusion: Attacks and Countermeasures cites this paper.

A Review of the Duality of Adversarial Learning in Network Intrusion: Attacks and Countermeasures The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T12:44:28.677552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4482f886-8824-498e-810d-bf44651e00dc · inbound

On the Validity of Traditional Vulnerability Scoring Systems for Adversarial Attacks against LLMs cites this paper.

On the Validity of Traditional Vulnerability Scoring Systems for Adversarial Attacks against LLMs The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-10T23:40:18.846600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 079d86cd-7e48-457d-871d-e48d30ad1a13 · inbound

A Comprehensive Analysis of Adversarial Attacks against Spam Filters cites this paper.

A Comprehensive Analysis of Adversarial Attacks against Spam Filters The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T01:09:00.101117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21b1f8f9-b91f-4db4-8fb8-a228c1c84105 · inbound

Mal-D2GAN: Double-Detector based GAN for Malware Generation cites this paper.

Mal-D2GAN: Double-Detector based GAN for Malware Generation The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:30:09.990431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 696c13a3-f03a-42a0-98bf-3cd68921f942 · inbound

Position: Certified Robustness Does Not (Yet) Imply Model Security cites this paper.

Position: Certified Robustness Does Not (Yet) Imply Model Security The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T00:43:58.581546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0c4f927-e19a-4a2c-87ef-61fb8f43c382 · inbound

Is Crunching Public Data the Right Approach to Detect BGP Hijacks? cites this paper.

Is Crunching Public Data the Right Approach to Detect BGP Hijacks? The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T13:38:14.547177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7edd6a8-9cca-42b4-b860-6c7ef78434d1 · inbound

Feature-level analysis and adversarial transfer in rotationally equivariant quantum machine learning cites this paper.

Feature-level analysis and adversarial transfer in rotationally equivariant quantum machine learning The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:44:38.200361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.