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Paper Citation Record · LEDGER

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark

As of 19 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 0 inbound Pith citation observations for arXiv:2506.07888.

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

pith.paper-citation-record.v1
2506.07888 v1

Coverage vector

measured 78 of 78 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:29:46.802174Z

measured 78 of 78 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

78 of 78 outbound references displayed

  • verified exact2
  • verified fuzzy57
  • unresolved16
  • parse uncertain2
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3c79436b-bfe3-4b9f-b3f5-136e4fbe6fcd · outbound

This paper cites Deep Learning with Differential Privacy.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Deep Learning with Differential Privacy

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 979e2b53-c79c-4d93-a315-fd6ead3a9482 · outbound

This paper cites Mancini, Angelo Spog- nardi, Antonio Villani, Domenico Vitali, and Giovanni Felici.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Mancini, Angelo Spog- nardi, Antonio Villani, Domenico Vitali, and Giovanni Felici

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 1cc5f7d2-d856-40c5-95cb-0ce5f85dd2b1 · outbound

This paper cites Re- constructing Training Data with Informed Adversaries.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Re- constructing Training Data with Informed Adversaries

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 4dc7bd38-7150-4d4b-ac41-5d335c0b1f2f · outbound

This paper cites Semi-supervised Learning with Constraints for Person Identification in Multimedia Data.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Semi-supervised Learning with Constraints for Person Identification in Multimedia Data

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 3b1d8bcf-c05e-4c5d-863d-a2b15e3b1671 · outbound

This paper cites an unresolved cited work.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Unresolved cited work

Reference 8

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 3e6bad9b-8772-425e-9d84-4c9f1cb1b76d · outbound

This paper cites Membership Inference Attacks From First Principles.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Membership Inference Attacks From First Principles

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T05:29:43.445314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:29:43.445314Z digest=sha256:9e840a04f42b8b23d3aa580bc6f7956eda28054f576a818dfe24a8ed90088049

Observation 7c73456d-aa9e-441e-af35-ac3d16a45460 · outbound

This paper cites The Privacy Onion Effect: Memorization is Relative.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark The Privacy Onion Effect: Memorization is Relative

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.727927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation df33a80b-3e8f-400b-b470-ae210a0e866c · outbound

This paper cites Brown, Dawn Song, Úl- far Erlingsson, Alina Oprea, and Colin Raffel.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Brown, Dawn Song, Úl- far Erlingsson, Alina Oprea, and Colin Raffel

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 62bf33e6-f478-4102-b102-3ea611748f02 · outbound

This paper cites Big Data Analysis for Financial Risk Management.Journal of Big Data,.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Big Data Analysis for Financial Risk Management.Journal of Big Data,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation fbff1e25-b06e-409e-8f28-705d0a3bed8b · outbound

This paper cites an unresolved cited work.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Unresolved cited work

Reference 13

Resolution
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raw_fallback, observed 2026-08-07T05:29:47.691269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e1aab644-f1b9-41d7-835c-2b2dde976575 · outbound

This paper cites Knowledge-Enriched Distributional Model Inversion Attacks.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Knowledge-Enriched Distributional Model Inversion Attacks

Reference 14

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raw_fallback, observed 2026-08-07T05:29:47.678773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8c8c5c48-f978-4b0f-9218-2ad8a532c273 · outbound

This paper cites Choquette Choo, Florian Tramèr, Nicholas Carlini, and Nicolas Papernot.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Choquette Choo, Florian Tramèr, Nicholas Carlini, and Nicolas Papernot

Reference 15

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no resolver link, observed 2026-08-07T05:29:43.981950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:29:43.981950Z digest=sha256:a62f519071fc2415817ff436ebd702461368fd476fe5097db0a93429d0a481de

Observation 2afd35c2-ddba-49fa-859f-9bbbdc5f2bab · outbound

This paper cites Deep Learning for Classical Japanese Literature.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Deep Learning for Classical Japanese Literature

Reference 16

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no resolver link, observed 2026-08-07T05:29:44.024512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:29:44.024512Z digest=sha256:7618c2882990af009711517b49e4901864db01ac9b547ae4e552f24fa738df33

Observation ba12333f-1af2-4d92-a058-6740f314123c · outbound

This paper cites On the Privacy Risk of In-context Learning.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark On the Privacy Risk of In-context Learning

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.657891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:44.095071Z digest=sha256:a2ce36df242e29618a1d16c28436e9cf050ac701197a52f334fc808907272390

Observation c309c963-3e4a-4496-b5ec-6664a12abbb9 · outbound

This paper cites Now Publishers Inc., 2014.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Now Publishers Inc., 2014

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a45e222c-d563-4b50-9f8a-abe6e20c5a3e · outbound

This paper cites Does Learning Require Memoriza- tion? A Short Tale about a Long Tail.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Does Learning Require Memoriza- tion? A Short Tale about a Long Tail

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:44.233053Z digest=sha256:7970ca36d3a0123679a3e688141ab467f66fb241d01d005b0f8c698426a94e1d

Observation 7297b00b-5742-4082-b07e-1d8eaf9a7410 · outbound

This paper cites Model Inversion Attacks that Exploit Confidence Infor- mation and Basic Countermeasures.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Model Inversion Attacks that Exploit Confidence Infor- mation and Basic Countermeasures

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.620983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e5e6ccf1-4180-454e-bd9f-9584288aed24 · outbound

This paper cites Gunter, and Nikita Borisov.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Gunter, and Nikita Borisov

Reference 21

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5da7b13c-166f-4546-9068-c900a28c3cdc · outbound

This paper cites Generative Adversar- ial Nets.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Generative Adversar- ial Nets

Reference 22

Resolution
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raw_fallback, observed 2026-08-07T05:29:47.597030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 0a5b657c-6f76-41ec-9db4-e3629f525499 · outbound

This paper cites Reconstructing Training Data from Trained Neural Networks.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Reconstructing Training Data from Trained Neural Networks

Reference 23

Resolution
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raw_fallback, observed 2026-08-07T05:29:47.584680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 04b4ed3f-87f3-4e2f-9691-54f2582e33d6 · outbound

This paper cites Learning both Weights and Connections for Efficient Neural Networks.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Learning both Weights and Connections for Efficient Neural Networks

Reference 24

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no resolver link, observed 2026-08-07T05:29:44.495660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 66ed6ca7-6ca8-47c6-91cd-1a7691174d0b · outbound

This paper cites Girshick.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Girshick

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8098df40-4af7-4735-9f7a-2b9eb45c7839 · outbound

This paper cites Deep Residual Learning for Image Recognition.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Deep Residual Learning for Image Recognition

Reference 26

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raw_fallback, observed 2026-08-07T05:29:47.560679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 86394da0-62b0-4764-a1eb-8f105416169a · outbound

This paper cites Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cfc79789-f4bb-4b94-9f66-d40cd7bba558 · outbound

This paper cites Node-Level Membership Inference Attacks Against Graph Neural Networks.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Node-Level Membership Inference Attacks Against Graph Neural Networks

Reference 28

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no resolver link, observed 2026-08-07T05:29:44.818943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 70d0569b-b6bc-458e-b561-ce27845438ad · outbound

This paper cites an unresolved cited work.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Unresolved cited work

Reference 29

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unresolved
raw_fallback, observed 2026-08-07T05:29:47.548837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation dc898baa-bf41-4eb0-95b9-8bb1849b379e · outbound

This paper cites A Style- Based Generator Architecture for Generative Adversar- ial Networks.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark A Style- Based Generator Architecture for Generative Adversar- ial Networks

Reference 30

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raw_fallback, observed 2026-08-07T05:29:47.536034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b0c87287-cfbd-4c45-b4d5-a84831dea12f · outbound

This paper cites Kingma and Prafulla Dhariwal.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Kingma and Prafulla Dhariwal

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.522087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 61db44ef-2aa6-43de-8630-17f099337abf · outbound

This paper cites Application of Machine Learning in Disease Prediction.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Application of Machine Learning in Disease Prediction

Reference 32

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raw_fallback, observed 2026-08-07T05:29:47.509260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:45.090780Z digest=sha256:b53ad3ed9fbe77747a761e179afd5dcaaf0c9f8d99454ea661653639cc97ed52

Observation 8f9892e0-316a-4d96-ba17-59c6662f5f7c · outbound

This paper cites SeqMIA: Sequential-Metric Based Membership Inference Attack.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark SeqMIA: Sequential-Metric Based Membership Inference Attack

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:29:46.927187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 3603e8f9-a366-4fe2-8a50-1838cec781a5 · outbound

This paper cites Membership Inference Attack Against Masked Image Modeling.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Membership Inference Attack Against Masked Image Modeling

Reference 34

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unresolved
no resolver link, observed 2026-08-07T05:29:45.214592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:29:45.214592Z digest=sha256:ff5531c23f3f1c4a23c81f26fa9e8a8275281d879f7cf66a338b4d8428b9f7b8

Observation 55645e1a-2149-4397-a608-075aff3141f5 · outbound

This paper cites Auditing Membership Leak- ages of Multi-Exit Networks.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Auditing Membership Leak- ages of Multi-Exit Networks

Reference 35

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raw_fallback, observed 2026-08-07T05:29:47.496464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d67a73e6-9135-4c25-baae-0771a6893e02 · outbound

This paper cites Membership Leakage in Label-Only Exposures.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Membership Leakage in Label-Only Exposures

Reference 36

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raw_fallback, observed 2026-08-07T05:29:47.483615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:45.311917Z digest=sha256:dd894941657122ceb2bbc54059d18c8ae4f217c66a720283194f07af2fdcdeb5

Observation 0d0472b8-3962-4aa4-9857-2dba432ec828 · outbound

This paper cites PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.470727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:45.465647Z digest=sha256:0800b13b9c431d2fa10ffe81dafaa4262ed6b889c95fee063e8b150ceb074ea0

Observation 53b706b4-24ab-4c93-85b8-1fa830ad8941 · outbound

This paper cites Membership Inference Attacks by Exploit- ing Loss Trajectory.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Membership Inference Attacks by Exploit- ing Loss Trajectory

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.457921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:45.679597Z digest=sha256:8140290ebad153a9253e45528ce6ad651890045ff71894b73eb3175c9babe550

Observation 5e131a78-157b-4ac3-81c6-bcf6a48d5295 · outbound

This paper cites ML-Doctor: Holis- tic Risk Assessment of Inference Attacks Against Ma- chine Learning Models.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark ML-Doctor: Holis- tic Risk Assessment of Inference Attacks Against Ma- chine Learning Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T05:29:45.770032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:29:45.770032Z digest=sha256:c61b81277c664fc5b0d89e23872de1154a0525034ff4ff55e12c50482c1176a6

Observation bf3ae38b-b45b-4e2a-9ce5-4403b7f9939d · outbound

This paper cites Swin Transformer: Hierarchical Vision Transformer using Shifted Windows.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.436068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:45.803867Z digest=sha256:cec897b0f0bbbe308bf94ba0ff5c535fbd50ee3a3be939e1af900f93ef8f11a1

Observation 70daacd1-7b29-43bf-81ba-bfdc17a030a5 · outbound

This paper cites Deep Learning Face Attributes in the Wild.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Deep Learning Face Attributes in the Wild

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.423351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:45.856515Z digest=sha256:91b653ef7824dd3601f8ce565bd36c3d39558196d9de23e2620f4e0e4c4342ea

Observation e770d152-aa32-4d7a-98f3-9ebb0afdd254 · outbound

This paper cites Maas, Raymond E.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Maas, Raymond E

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.412031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:45.936722Z digest=sha256:95684ffe43b622350500b0ee5b8c3dae0801f2a0d14cd692a82bb61cba90279e

Observation d6ce811a-30f4-425f-a9c9-7af4031225af · outbound

This paper cites Property Inference from Poisoning.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Property Inference from Poisoning

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.400482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:46.067131Z digest=sha256:12c7d1b29626759893cd42dee75cfd07438e01fccce06b67e1e87ae0fd9cc791

Observation 23223836-6284-4cca-b6ee-6600cecb0d94 · outbound

This paper cites Exploiting Unintended Feature Leakage in Collaborative Learning.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Exploiting Unintended Feature Leakage in Collaborative Learning

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.388976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:46.233222Z digest=sha256:eff839e09e9fb52e86bb19cdb9fad7e338f4c43f836b1ac8d311982fdfe16b3b

Observation 7afe6df3-a4c6-4852-834d-438951a44a48 · outbound

This paper cites Morris, V olodymyr Kuleshov, Vitaly Shmatikov, and Alexander M.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Morris, V olodymyr Kuleshov, Vitaly Shmatikov, and Alexander M

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.377218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:46.493719Z digest=sha256:0186e5456a79ac97c7d9c343acac978b059d9a4e779287c3901713b71bea9faf

Observation 921a4570-3186-4813-a22e-2740c45b43c5 · outbound

This paper cites Scalable Private Learning with PATE.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Scalable Private Learning with PATE

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.365298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:46.668864Z digest=sha256:a88bc0b163615a35465bef8f2a43264cd8c1140c0e98def6be53eb5d8d4347f9

Observation 41af8f64-63ab-4247-bfa2-8345d60b3a96 · outbound

This paper cites Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learn- ing.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learn- ing

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.353278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:46.677951Z digest=sha256:11f3ae5cfab292c29f2387e40ebf43cf198937578e58522d7fbc246be1dd98d3

Observation e232197a-22bd-49bb-851e-275644cdf797 · outbound

This paper cites SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.341259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:46.682289Z digest=sha256:b15f76d0d7730c084a01f4deb1d50cf66ac96347b100f4f3309a28a9df1761b5

Observation b3f8fc92-35c5-446b-bd8a-60b686533299 · outbound

This paper cites ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.329714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:46.685981Z digest=sha256:bcb8870cb084de56b99636df9c64de8c0fd462da65226cf9d8decb4f4ad3f54d

Observation a7aa1a3e-0ad3-42b7-9936-dd4ef72f0729 · outbound

This paper cites Howard, Menglong Zhu, Andrey Zhmoginov, and Liang-Chieh Chen.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Howard, Menglong Zhu, Andrey Zhmoginov, and Liang-Chieh Chen

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.318256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:46.690197Z digest=sha256:8bb6cb2869f16e9d5a2f7f180a846073ca6facc6b1632274bf8fc03770128a03

Observation 3ee1ca2a-ae2d-4d70-8bf4-17b1c4eec126 · outbound

This paper cites Towards Data-Free Model Stealing in a Hard Label Setting.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Towards Data-Free Model Stealing in a Hard Label Setting

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:29:46.890451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:46.694207Z digest=sha256:f06243eeef9591093809619107940f72d850cfbe1d7c5ae516a2ed8b8e50d51e

Observation 01287b36-e695-4b16-b695-badbe07f7426 · outbound

This paper cites Membership Inference Attacks Against Machine Learning Models.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Membership Inference Attacks Against Machine Learning Models

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.306654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:46.698218Z digest=sha256:8ee89152e2589640a6c3db72cae398376192c18187c57df7ce6cf54596ca24df

Observation e331c2e8-57a7-45c5-80bc-55989561abe6 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recog- nition.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Very Deep Convolutional Networks for Large-Scale Image Recog- nition

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.295421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:46.702365Z digest=sha256:17f7260b796c4f07fc0d9829ec57222b6e8493605a028dd78fd836ddb6b11499

Observation eecad57e-a8ea-4db4-98f4-d158ab5f4c62 · outbound

This paper cites Manning, Andrew Y.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Manning, Andrew Y

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.283967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:46.706400Z digest=sha256:284ba9bb73d2535960e8947a0f3644f7dad9ddf2fb6a84898766ab0775657f49

Observation 04c74847-bb22-4422-b5a1-aca6a0e75962 · outbound

This paper cites Machine Learning Models that Remember Too Much.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Machine Learning Models that Remember Too Much

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.271863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:46.710377Z digest=sha256:b67967f184af9b018a091408a17e63fff53a68df97e4adcf9adccdb84875ccc8

Observation 8d74a6f5-ff48-424b-90a2-7ad01275eccd · outbound

This paper cites Overlearning Reveals Sensitive Attributes.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Overlearning Reveals Sensitive Attributes

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.259059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:46.713761Z digest=sha256:a01b8bfea82a3cd57b2a34a8ecd82136858e100bb3f36e5789fff707f1f8888d

Observation 5dcee604-d53f-4e71-a232-8adedeb07123 · outbound

This paper cites Mint- Net: Building Invertible Neural Networks with Masked Convolutions.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Mint- Net: Building Invertible Neural Networks with Masked Convolutions

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.246658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:46.717803Z digest=sha256:c2f883d81bfdb303828512cc86d3a8a0033577334be51b814a76bda61df90bcc

Observation 200bc917-d6ff-41cc-a044-9db89972df41 · outbound

This paper cites Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.234267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:46.721917Z digest=sha256:0abe235aa6c33a6ccf7bed590e2ee4a3ff110bbbe458d9ba7f29e142013a2ff3

Observation b8618376-17eb-4222-b60c-303d2c84d7a2 · outbound

This paper cites Formalizing and Estimating Distribution Inference Risks.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Formalizing and Estimating Distribution Inference Risks

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T05:29:46.725458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:29:46.725458Z digest=sha256:f9305cda85dedae78ab367a9e32d871b9cabe92a2ef13397d63341778bea9cad

Observation 9d776156-fa83-4592-b844-d5e31beba898 · outbound

This paper cites Deep Learning and the Information Bottleneck Principle.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Deep Learning and the Information Bottleneck Principle

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T05:29:46.729143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:29:46.729143Z digest=sha256:e3363134e664c7c9db6d9d6b790ce9f0c40703d4712137c03d8a58cb58f76b74

Observation b26fc7a5-7e21-4e32-80bc-b705faa369db · outbound

This paper cites Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.221695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:46.733319Z digest=sha256:ea37b203c137ec58b78d27d439ef0c5cefc69eecd5e1e1c12b79f7879346b65a

Observation 86a6777e-858d-4b85-932b-3955b025b613 · outbound

This paper cites Re- iter, and Thomas Ristenpart.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Re- iter, and Thomas Ristenpart

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.208245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:46.737087Z digest=sha256:1b350b4e216ab0ed66d39ca3d10b6d936bb74aacd326d2dc01f79a0b824af899

Observation 1812357a-5033-40e4-803f-5293c53c0aee · outbound

This paper cites Walls, and Nicolas Papernot.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Walls, and Nicolas Papernot

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.196289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:46.740577Z digest=sha256:699d8870307b29f4089979ca3a31d808e951a7b64aee91b3a5cbb97493bfbe70

Observation 2e3971f6-752e-4b89-ac16-d89a712ca552 · outbound

This paper cites Zemel, and Alireza Makhzani.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Zemel, and Alireza Makhzani

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.183681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:46.743913Z digest=sha256:dd3da2549088a1cd6d359ff242f9e1f193c0c6e0a8b9137545fab5a8869eade1

Observation 84a905ee-3efd-4060-b5b0-accf80d0a30c · outbound

This paper cites Improv- ing Robustness to Model Inversion Attacks via Mu- tual Information Regularization.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Improv- ing Robustness to Model Inversion Attacks via Mu- tual Information Regularization

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.169990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:46.747725Z digest=sha256:57d347185609c4934342c9e7a41959cc30b3662680b2f5db82b3573906e8525c

Observation cf42b706-c7d9-43b6-aa54-30989e38fdd3 · outbound

This paper cites Under- standing Data Importance in Machine Learning At- tacks: Does Valuable Data Pose Greater Harm? In Network and Distributed System Security Symposium (NDSS).

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Under- standing Data Importance in Machine Learning At- tacks: Does Valuable Data Pose Greater Harm? In Network and Distributed System Security Symposium (NDSS)

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.156303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:46.751747Z digest=sha256:a1d93d55e096ad5fb631623ccb0640970876cac756d6797e1cdf4abc4005f696

Observation 1b8367a0-0724-479e-9857-b5d993c9afb9 · outbound

This paper cites Membership Inference Attacks Against In- Context Learning.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Membership Inference Attacks Against In- Context Learning

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-07T05:29:46.755279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:29:46.755279Z digest=sha256:78cf1f3ead3e942cc9c12d4814f28ef5e0d78398770f43440f368b931f27ef1c

Observation b2271098-c096-4742-9713-6fa884c4ee71 · outbound

This paper cites Last One Standing: A Comparative Analysis of Security and Privacy of Soft Prompt Tuning, LoRA, and In-Context Learning.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Last One Standing: A Comparative Analysis of Security and Privacy of Soft Prompt Tuning, LoRA, and In-Context Learning

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-07T05:29:46.758808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:29:46.758808Z digest=sha256:1c5086304c9d98bd03c3f96650f6411837f0a7af171c1bc966771197fbf4c538

Observation 3b897dbd-0891-42eb-a582-5e661c9f9223 · outbound

This paper cites Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.134420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:46.762526Z digest=sha256:3cd78eb3315da7acb64478985bc036a6d1f97d88d1cec904f6428cd551932e1e

Observation 76ebdf57-8c20-499f-8f0c-3fc6ca7a886d · outbound

This paper cites Quanti- fying Privacy Risks of Prompts in Visual Prompt Learn- ing.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Quanti- fying Privacy Risks of Prompts in Visual Prompt Learn- ing

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.122293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:46.765994Z digest=sha256:47772c59f846bd1c5212e78e5d9f0ab5588561e039b4f69441535434d22200b8

Observation 06da72cb-1473-4fdf-8dce-26573c49f758 · outbound

This paper cites Neural Network Inversion in Adversarial Set- ting via Background Knowledge Alignment.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Neural Network Inversion in Adversarial Set- ting via Background Knowledge Alignment

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.109996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:46.769424Z digest=sha256:17838ed8f1b8b6233abb1e94fe4390f0e4b716af3a172228d69595247e96b259

Observation 0034e933-a0eb-4d7b-bfd5-07a5280319af · outbound

This paper cites an unresolved cited work.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Unresolved cited work

Reference 72

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:29:47.097247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:46.772945Z digest=sha256:0ee265e5727b0715e2a4ae861051c5e30d20a68b17e8bb2e8af55251912765ff

Observation e7a822cf-fea4-4c83-b527-84be70096143 · outbound

This paper cites Alvarez, Zhizhong Li, Arun Mallya, Derek Hoiem, Niraj K.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Alvarez, Zhizhong Li, Arun Mallya, Derek Hoiem, Niraj K

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.083775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:46.776999Z digest=sha256:9a3988f85944e5fe24ce71a4d32c9739de6c01832a3bd1c9446557b3ffa3acc3

Observation c0aa3b18-fb79-438d-9b91-4c4016cc8bcd · outbound

This paper cites Pseudo Label- Guided Model Inversion Attack via Conditional Gen- erative Adversarial Network.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Pseudo Label- Guided Model Inversion Attack via Conditional Gen- erative Adversarial Network

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.070350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:46.780352Z digest=sha256:ce7657c68f3c52074620f31cb49ead94da3fddec5535c9c5c40057dc841fdc8f

Observation bdb1ffe0-16c0-47c4-923a-2777cbd2aaa3 · outbound

This paper cites SecretGen: Privacy Recovery on Pre-trained Models via Distribution Discrimination.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark SecretGen: Privacy Recovery on Pre-trained Models via Distribution Discrimination

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.057613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:46.784172Z digest=sha256:bf386745db6d68822a93cb519d1f61fc5a008a80bd87e4424797b2bd1373b62d

Observation e6987b72-9a73-4e1b-80e8-f7b54247851d · outbound

This paper cites Generated Distributions Are All You Need for Membership Inference Attacks Against Gen- erative Models.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Generated Distributions Are All You Need for Membership Inference Attacks Against Gen- erative Models

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.032702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:46.791561Z digest=sha256:5eca6d767f1312e8813439a4cb1be83fb041964b7d76087da0cba43258c9e263

Observation 8ea49ffa-0422-40a3-b058-2dac4879afcb · outbound

This paper cites Character-level Convolutional Networks for Text Clas- sification.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Character-level Convolutional Networks for Text Clas- sification

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.020560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:46.795512Z digest=sha256:d89adca1d01dd0c57e836563ff734a4327d36d534544e51bf57471a214bf43e7

Observation ae7453a6-9c27-4528-9966-044b0a60d8cb · outbound

This paper cites The Secret Re- vealer: Generative Model-Inversion Attacks Against Deep Neural Networks.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark The Secret Re- vealer: Generative Model-Inversion Attacks Against Deep Neural Networks

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:47.008326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:46.798847Z digest=sha256:fdfd6f043f5aba7fcf6ec038ac2f2a5c5dffdc6544abb4afe46209be6e52dfbc

Observation cb9e4ac7-2997-455a-b1f1-23ea1adb44eb · outbound

This paper cites poi- soned.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark poi- soned

Reference 79

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T05:29:46.995957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:46.802174Z digest=sha256:0145631f70c8d4f005b6fd56771058705ac32c5e149ed9df0ea96d294debeb4f

Observation fd56362b-8a85-46f0-859a-f0c915da2517 · outbound

This paper cites an unresolved cited work.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Unresolved cited work

Reference 155

Resolution
parse uncertain
raw_fallback, observed 2026-08-07T05:29:47.044935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:46.787745Z digest=sha256:c2c7805882f1d9c7972a6c381d61ccb1bf8c07992151a0ebe848049de445374e

Observation 94c2f764-8d88-4858-955d-1b0d7565b534 · outbound

This paper cites 2, 3, 22.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark 2, 3, 22

Reference 1914

Resolution
parse uncertain
raw_fallback, observed 2026-08-07T05:29:47.741139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:29:43.535897Z digest=sha256:f13f3e9755d778e878d6205a57fa4175dc273e213c3dac29c24102fe2b6b42d1

Pith citing papers

No inbound Pith citation observations are available.