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Paper Citation Record · LEDGER

Practical Blind Membership Inference Attack via Differential Comparisons

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2101.01341.

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

pith.paper-citation-record.v1
2101.01341 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:05:45.696069Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T09:23:16.085656Z

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 a2e5de4b-c103-4a22-80ae-199ad805632a · inbound

CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling cites this paper.

CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling Practical Blind Membership Inference Attack via Differential Comparisons

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-10T14:05:45.696069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:05:45.696069Z digest=sha256:cb27c21dc710199d0a04332ea11ea1b2ac3151cdc8e72f30b1e3552c1623854e

Observation ae1bc712-aafa-476f-9cac-2ba6c2381dde · inbound

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models cites this paper.

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models Practical Blind Membership Inference Attack via Differential Comparisons

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-09T04:11:59.806746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T04:11:59.806746Z digest=sha256:2520867857e287eb4214b97b5c830c5c5f2f238c5d323df341325df4b3795f08

Observation f1d495e2-79e6-4452-944b-d2ad329660cd · inbound

LAPA-based Dynamic Privacy Optimization for Wireless Federated Learning in Heterogeneous Environments cites this paper.

LAPA-based Dynamic Privacy Optimization for Wireless Federated Learning in Heterogeneous Environments Practical Blind Membership Inference Attack via Differential Comparisons

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T14:13:34.758317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:13:34.758317Z digest=sha256:2de4ac399ae096e786adbd0ea15136233bccb41f5e824a64a7247a2d8e97b00e

Observation b383ab2c-9d3c-4d67-a2cf-17a66b6f1cb4 · inbound

Privacy-Utility Trade-off in Data Publication: A Bilevel Optimization Framework with Curvature-Guided Perturbation cites this paper.

Privacy-Utility Trade-off in Data Publication: A Bilevel Optimization Framework with Curvature-Guided Perturbation Practical Blind Membership Inference Attack via Differential Comparisons

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-05T11:59:40.392326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:59:40.392326Z digest=sha256:10090cd10f71942236c825aec4ccf6063f636e8806ff007a25149c83731d8acf

Observation 9a21d494-55d7-43be-b1b0-054a1efa621f · inbound

A Full-Pipeline Framework for Evaluating Membership Inference Attacks in Machine Learning cites this paper.

A Full-Pipeline Framework for Evaluating Membership Inference Attacks in Machine Learning Practical Blind Membership Inference Attack via Differential Comparisons

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-06-29T09:23:16.087174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-29T09:20:39.053125Z digest=sha256:9952ecf4609fd2edf158454a186360c885a9d00c049676481eab31b7a70ea353