Paper Citation Record · LEDGER

Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2404.01231.

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

pith.paper-citation-record.v1
2404.01231 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:27:49.683237Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T09:25:40.834864Z

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 bc4530e6-94f6-4ced-878f-07503ae1f9d4 · inbound

Quantifying Cross-Modality Memorization in Vision-Language Models cites this paper.

Quantifying Cross-Modality Memorization in Vision-Language Models Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T10:27:49.683237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e05af27-1a3e-4953-aa2b-6090027ce4e0 · inbound

A Systematic Review of Poisoning Attacks Against Large Language Models cites this paper.

A Systematic Review of Poisoning Attacks Against Large Language Models Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:33.836732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a28e3ae1-e3bf-4518-9e47-725b547b0177 · inbound

Find a Scapegoat: Poisoning Membership Inference Attack and Defense to Federated Learning cites this paper.

Find a Scapegoat: Poisoning Membership Inference Attack and Defense to Federated Learning Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T21:23:39.710949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 243ac1f8-b04f-4db5-83eb-4ca76a754df5 · inbound

UniAud: A Unified Auditing Framework for High Auditing Power and Utility with One Training Run cites this paper.

UniAud: A Unified Auditing Framework for High Auditing Power and Utility with One Training Run Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T19:55:22.345690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cc5d97b-10cb-49cc-9440-bcf92ddecb6f · inbound

Pretraining Data Exposure in Large Language Models: A Survey of Membership Inference, Data Contamination, and Security Implications cites this paper.

Pretraining Data Exposure in Large Language Models: A Survey of Membership Inference, Data Contamination, and Security Implications Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models

Reference 57

Resolution: malformed identifier; arxiv_id, observed 2026-06-30T17:24:57.252080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e546d5e6-17cb-41b3-96dc-848364ffa5c5 · inbound

Probing Memorization of Tabular In-Context Learning cites this paper.

Probing Memorization of Tabular In-Context Learning Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models

Reference 103

Resolution: verified exact; arxiv_id, observed 2026-07-01T09:25:40.837030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.