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Paper Citation Record · LEDGER

The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1911.07135.

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

pith.paper-citation-record.v1
1911.07135 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:28:00.947554Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:44:12.093687Z

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 5bca2b56-318f-4e51-a744-de4302d88517 · inbound

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures cites this paper.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks

Reference 170

Resolution
unresolved
no resolver link, observed 2026-08-16T04:28:00.947554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:28:00.947554Z digest=sha256:98c1f7e005f4267fcb708a80c8cd79454fe2bc9599e9a726d6bf288159f55f2d

Observation 5f0bffb8-5d03-4460-9425-f14ca9285044 · inbound

An Enhanced Privacy-preserving Federated Few-shot Learning Framework for Respiratory Disease Diagnosis cites this paper.

An Enhanced Privacy-preserving Federated Few-shot Learning Framework for Respiratory Disease Diagnosis The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:44:12.144535Z

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.

source=pdf_text observed=2026-08-06T18:44:09.730404Z digest=sha256:6d25354aab2112311320d7ffde5dab0823c2bfd7d69b41352231a69db8651edc