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Paper Citation Record · LEDGER

Cascading and Proxy Membership Inference Attacks

As of 19 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 1 inbound Pith citation observation for arXiv:2507.21412.

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

pith.paper-citation-record.v1
2507.21412 v3

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:54:02.255763Z

measured 73 of 73 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T18:17:06.017591Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T18:18:52.490518Z

Reference resolution

72 of 72 outbound references displayed

  • verified exact0
  • verified fuzzy47
  • unresolved24
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cdb3af70-41bf-450a-80c2-da3a0996cb31 · outbound

This paper cites Membership inference attacks against machine learning models,.

Cascading and Proxy Membership Inference Attacks Membership inference attacks against machine learning models,

Reference 1

Resolution
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raw_fallback, observed 2026-08-06T12:54:13.749836Z

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=2026-08-06T12:53:52.971631Z digest=sha256:3abcdab8482be2838bd338119d9fcbd81b3c31cc2818dfb269024de80982705d

Observation 2308cbde-9055-4328-8fcb-e5223f9369dc · outbound

This paper cites Differential Privacy,.

Cascading and Proxy Membership Inference Attacks Differential Privacy,

Reference 2

Resolution
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raw_fallback, observed 2026-08-06T12:54:13.497021Z

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=2026-08-06T12:53:53.042820Z digest=sha256:7efd2ae4e4888dfe226550d0cfe84a3fb03bad035aabc2a9dee558100cf27c39

Observation 7f3ab1f9-d208-4338-a9f1-0c052db54381 · outbound

This paper cites ML Privacy Meter: Aiding Regulatory Compliance by Quantifying the Privacy Risks of Machine Learning.

Cascading and Proxy Membership Inference Attacks ML Privacy Meter: Aiding Regulatory Compliance by Quantifying the Privacy Risks of Machine Learning

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:53.182997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:53:53.182997Z digest=sha256:f80b7e385a6f8cd476b1a43bfd137d8b991c1a7c6c065ddf94f7f0ef8cb1139c

Observation 20941b1e-4b03-467e-9c57-334ee23fb4ac · outbound

This paper cites Introducing a New Privacy Testing Library in TensorFlow,.

Cascading and Proxy Membership Inference Attacks Introducing a New Privacy Testing Library in TensorFlow,

Reference 4

Resolution
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raw_fallback, observed 2026-08-06T12:54:13.285555Z

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=2026-08-06T12:53:53.367229Z digest=sha256:b347bf3fc2e21259d1dd9141d5bab33c4fdfeb20d501dd490106ca154f544b50

Observation 23d0dc06-40fa-4daf-a353-d9b345534b44 · outbound

This paper cites Extracting training data from large language models,.

Cascading and Proxy Membership Inference Attacks Extracting training data from large language models,

Reference 5

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unresolved
no resolver link, observed 2026-08-06T12:53:53.480971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:53:53.480971Z digest=sha256:198a263f6cccdb915cf7da7bf5bdcdf346f117f76ce50fcbfc65f286c434cbe9

Observation 29a6ac3a-ad49-4e9a-aca7-eb03d1ae6fe8 · outbound

This paper cites Extracting training data from diffusion models,.

Cascading and Proxy Membership Inference Attacks Extracting training data from diffusion models,

Reference 6

Resolution
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raw_fallback, observed 2026-08-06T12:54:13.101583Z

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=2026-08-06T12:53:53.644093Z digest=sha256:29dfe52a7c2bf252112927374f73a3a882edb69eae4007f96a7a578fe2bd43d6

Observation 9c31a90a-011c-45b0-93a0-5e8cdf29090d · outbound

This paper cites Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries,.

Cascading and Proxy Membership Inference Attacks Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries,

Reference 7

Resolution
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raw_fallback, observed 2026-08-06T12:54:12.827745Z

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=2026-08-06T12:53:53.763737Z digest=sha256:ef2d00c1e0f56c8dcfa369155256253886fbea1f8db5377a2f532d8809baf67f

Observation ca5c7431-af96-4ff7-94fc-52170bfcd0f7 · outbound

This paper cites Is Difficulty Calibration All We Need? Towards More Practical Member- ship Inference Attacks,.

Cascading and Proxy Membership Inference Attacks Is Difficulty Calibration All We Need? Towards More Practical Member- ship Inference Attacks,

Reference 8

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raw_fallback, observed 2026-08-06T12:54:12.578847Z

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=2026-08-06T12:53:53.932492Z digest=sha256:fab012178670602c43ef1f2982adc2dd7a05c8cb85db171c2597bd7fba9dd3ba

Observation 440c62b9-a6a3-49ac-a768-23fe946bc22a · outbound

This paper cites Membership inference attacks from first principles,.

Cascading and Proxy Membership Inference Attacks Membership inference attacks from first principles,

Reference 9

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no resolver link, observed 2026-08-06T12:53:54.063499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:53:54.063499Z digest=sha256:6f46dc8e27a9946b91a0fd17ec605c5f4ef67129d79fad052c21250ace995fd7

Observation 3dafe175-9fac-4a66-8f9d-12a6765a41a4 · outbound

This paper cites Comprehensive privacy analysis of deep learning: Passive and active white-box inference attacks against centralized and federated learning,.

Cascading and Proxy Membership Inference Attacks Comprehensive privacy analysis of deep learning: Passive and active white-box inference attacks against centralized and federated learning,

Reference 10

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raw_fallback, observed 2026-08-06T12:54:12.304732Z

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=2026-08-06T12:53:54.207156Z digest=sha256:1a42a756c6b47cf86d7136fc3318316808671b701ada7d408e48ba015760d301

Observation 2916f968-8b00-478b-a540-e23fe243ae1d · outbound

This paper cites Membership Inference Attacks and Defenses in Classification Models,.

Cascading and Proxy Membership Inference Attacks Membership Inference Attacks and Defenses in Classification Models,

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.

source=pdf_text observed=2026-08-06T12:53:54.345227Z digest=sha256:da4b0ad40b1fba3882f28e5135184f1f9717be38118af029090804d0d15972e2

Observation 70eb60e8-db69-4d19-9736-c33190dfcf38 · outbound

This paper cites Scalable membership inference attacks via quantile regression,.

Cascading and Proxy Membership Inference Attacks Scalable membership inference attacks via quantile regression,

Reference 12

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raw_fallback, observed 2026-08-06T12:54:11.919028Z

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=2026-08-06T12:53:54.503513Z digest=sha256:cc5c8500db368cac5ea81940a1ca5efb24e45b83980ac27089a99ce1fee79e83

Observation 0baef9a4-8710-4755-b978-1b8eecbda9c0 · outbound

This paper cites SeqMIA: Sequential-metric based membership inference attack,.

Cascading and Proxy Membership Inference Attacks SeqMIA: Sequential-metric based membership inference attack,

Reference 13

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raw_fallback, observed 2026-08-06T12:54:11.658061Z

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=2026-08-06T12:53:54.643912Z digest=sha256:70cdbc0738f2e41541d97f5c191d9209395610ca12c90f753ad5311bffc2a074

Observation 19e29dc5-ffa1-4104-9fd8-e22408427603 · outbound

This paper cites Low-Cost High-Power Mem- bership Inference Attacks,.

Cascading and Proxy Membership Inference Attacks Low-Cost High-Power Mem- bership Inference Attacks,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:11.536515Z

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=2026-08-06T12:53:54.752556Z digest=sha256:fdc053e700fe164f339654f4790aa7a1d0cf0ba6cd2bde8e664cda4b173f88ba

Observation b667ea72-488e-4303-a276-91b74d7396c2 · outbound

This paper cites Privacy risk in machine learning: Analyzing the connection to overfitting,.

Cascading and Proxy Membership Inference Attacks Privacy risk in machine learning: Analyzing the connection to overfitting,

Reference 15

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raw_fallback, observed 2026-08-06T12:54:11.262853Z

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=2026-08-06T12:53:54.934287Z digest=sha256:f1e678fcddd5a936c46ac0c62c7ecdc2b283d73c3b79fcb74dcd2df1cb6c37fd

Observation fedfe7be-72de-4154-96c1-f3a5da938600 · outbound

This paper cites Revisiting Membership Inference Under Realistic Assumptions.

Cascading and Proxy Membership Inference Attacks Revisiting Membership Inference Under Realistic Assumptions

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:53:55.068305Z digest=sha256:e14a039a617553826f121e81d8b10c4664c4418e825573d47cf54c177d86a6c5

Observation ed06e29a-5c56-423e-b408-f219baaf44ee · outbound

This paper cites Online algorithms: a survey,.

Cascading and Proxy Membership Inference Attacks Online algorithms: a survey,

Reference 17

Resolution
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raw_fallback, observed 2026-08-06T12:54:11.050213Z

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=2026-08-06T12:53:55.202850Z digest=sha256:555d810bc6869da6de256b2282119eedc36b2cfd14ed68360763406137542d3d

Observation 4bc86d51-7386-4c96-a2dd-8a3e5414b93c · outbound

This paper cites Luby,Pseudorandomness and cryptographic applications.

Cascading and Proxy Membership Inference Attacks Luby,Pseudorandomness and cryptographic applications

Reference 18

Resolution
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raw_fallback, observed 2026-08-06T12:54:10.823227Z

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=2026-08-06T12:53:55.383202Z digest=sha256:c2f7190f1b8a810efae5e93fd016b7315af402cb7d61af5588b733a4e2daec27

Observation b648ff21-d96c-4560-b2e7-3112bd50dff4 · outbound

This paper cites Chosen ciphertext attacks against protocols based on the RSA encryption standard PKCS# 1,.

Cascading and Proxy Membership Inference Attacks Chosen ciphertext attacks against protocols based on the RSA encryption standard PKCS# 1,

Reference 19

Resolution
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raw_fallback, observed 2026-08-06T12:54:10.576539Z

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=2026-08-06T12:53:55.465716Z digest=sha256:83fb2dea009df6ff9d22eb800b93aa7f51ce04084e9e45149fcad9366979e48b

Observation 76c4dd18-4f72-4967-a307-c207da88644f · outbound

This paper cites Sampling-based approaches to calculat- ing marginal densities,.

Cascading and Proxy Membership Inference Attacks Sampling-based approaches to calculat- ing marginal densities,

Reference 20

Resolution
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raw_fallback, observed 2026-08-06T12:54:10.286361Z

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=2026-08-06T12:53:55.608260Z digest=sha256:938683997edadedbba3963881d5143e9342d88f387b59cb2eb044f5172c44647

Observation 6dc06cd6-8844-4997-baa5-7fefc5c3cd9e · outbound

This paper cites Surprising convergence properties of some simple Gibbs samplers under various scans,.

Cascading and Proxy Membership Inference Attacks Surprising convergence properties of some simple Gibbs samplers under various scans,

Reference 21

Resolution
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raw_fallback, observed 2026-08-06T12:54:10.056928Z

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=2026-08-06T12:53:55.763361Z digest=sha256:b2eace20ea932654865d913a3d7c1f280e9d62294a7750d03149188a129e88cb

Observation 2733c831-7213-45b1-9d26-b0f3f78a2e2f · outbound

This paper cites Scan order in Gibbs sampling: Models in which it matters and bounds on how much,.

Cascading and Proxy Membership Inference Attacks Scan order in Gibbs sampling: Models in which it matters and bounds on how much,

Reference 22

Resolution
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raw_fallback, observed 2026-08-06T12:54:09.792026Z

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=2026-08-06T12:53:55.854288Z digest=sha256:db6bb901d7382f1bee7dae08bcaf95ff9e60a2d8897c206c244bd2223424cd82

Observation b4db7aa2-be5c-46ce-b7a0-42f886217f46 · outbound

This paper cites Adaptive Gibbs samplers and related MCMC methods,.

Cascading and Proxy Membership Inference Attacks Adaptive Gibbs samplers and related MCMC methods,

Reference 23

Resolution
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raw_fallback, observed 2026-08-06T12:54:09.425740Z

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 916bc748-41b4-41a8-8fb8-f9bbec60295a · outbound

This paper cites White-box vs black-box: Bayes optimal strategies for membership inference,.

Cascading and Proxy Membership Inference Attacks White-box vs black-box: Bayes optimal strategies for membership inference,

Reference 24

Resolution
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raw_fallback, observed 2026-08-06T12:54:09.264630Z

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=2026-08-06T12:53:56.132465Z digest=sha256:82a0c6bbd3e11ec233fa8c382da97ca1b3a19cbaa51e8b475935f99dc361306e

Observation d0a62b18-6411-49c7-91a6-23d1f84a5057 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Cascading and Proxy Membership Inference Attacks Learning transferable visual models from natural language supervision,

Reference 25

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no resolver link, observed 2026-08-06T12:53:56.316183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:53:56.316183Z digest=sha256:472372a84518c597e2569d61da40273b5764a753f3b5b5d5c795f85670cbd8c4

Observation d1805453-6c9f-41ac-b9ea-d2456a2a32a9 · outbound

This paper cites The Faiss library.

Cascading and Proxy Membership Inference Attacks The Faiss library

Reference 26

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no resolver link, observed 2026-08-06T12:53:56.480605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:53:56.480605Z digest=sha256:82ce76dde61e59859db82a704dafa13cb9e2a41a264288a6cbc05fd4f1ef3f4e

Observation d41c9d18-0174-46af-a9b2-c94109e084f9 · outbound

This paper cites The MNIST database of handwritten digits,.

Cascading and Proxy Membership Inference Attacks The MNIST database of handwritten digits,

Reference 27

Resolution
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raw_fallback, observed 2026-08-06T12:54:08.926889Z

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=2026-08-06T12:53:56.679978Z digest=sha256:caa8002731aca735fc7ff57dc451033b0d3e6d667cfcb355693d410bc5f477c7

Observation a7362a64-da47-48fe-9bc2-8fb80369199f · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Cascading and Proxy Membership Inference Attacks Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 28

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unresolved
no resolver link, observed 2026-08-06T12:53:56.784606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:53:56.784606Z digest=sha256:80ccbff36d59fd768a802cc784bc53d4dca62dc351cbc9c382c1efd0d28a602e

Observation dbf8b215-2eba-48c5-b8e2-13e65fa58116 · outbound

This paper cites Learning multiple layers of features from tiny images,.

Cascading and Proxy Membership Inference Attacks Learning multiple layers of features from tiny images,

Reference 29

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no resolver link, observed 2026-08-06T12:53:56.947732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:53:56.947732Z digest=sha256:5480335c99b31c429f119514a6a38847c70c186928670ea1fdf5fc84e45e370e

Observation 76790aff-6be7-4348-9b49-f3dbb7f1aebf · outbound

This paper cites Deep residual learning for image recognition,.

Cascading and Proxy Membership Inference Attacks Deep residual learning for image recognition,

Reference 30

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no resolver link, observed 2026-08-06T12:53:57.084525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:53:57.084525Z digest=sha256:76741340e4d845e34207331322a4324968ecb2a1f53a38a75dab167f73de7424

Observation f98b1186-e4d2-43b8-92dc-ab65cc5c291d · outbound

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

Cascading and Proxy Membership Inference Attacks Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 31

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no resolver link, observed 2026-08-06T12:53:57.266055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:53:57.266055Z digest=sha256:3758bb06d32c7266206597805500006e64bfa87efb8907eba07fa7436fe8ca25

Observation 1a9087d6-560d-415f-bfe9-fe043b4348fa · outbound

This paper cites Densely connected convolutional networks,.

Cascading and Proxy Membership Inference Attacks Densely connected convolutional networks,

Reference 32

Resolution
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no resolver link, observed 2026-08-06T12:53:57.355093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:53:57.355093Z digest=sha256:fb0362c51a6bdf76f6b2d8c38d182f8147d4081c8413bf99272dd13242fb4a72

Observation 2c1ea9ce-587a-4327-bb3e-d8bfc6ba7dbc · outbound

This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks,.

Cascading and Proxy Membership Inference Attacks Mobilenetv2: Inverted residuals and linear bottlenecks,

Reference 33

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no resolver link, observed 2026-08-06T12:53:57.537368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:53:57.537368Z digest=sha256:a23da38859fb47f5653f85f6ad2b47d600e85f32d9c4a6074e1386f68d74ac04

Observation da86fb55-1ac3-44f0-b05a-a459828b12a0 · outbound

This paper cites A simple weight decay can improve gener- alization,.

Cascading and Proxy Membership Inference Attacks A simple weight decay can improve gener- alization,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:08.695769Z

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=2026-08-06T12:53:57.705538Z digest=sha256:8ec3a5f7b20cda74be03d796edd780a68431973e85b5944b8707e6bffe8992e7

Observation 6d00f85f-f32c-4665-b2e2-ddf93c42adcf · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

Cascading and Proxy Membership Inference Attacks SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 35

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no resolver link, observed 2026-08-06T12:53:57.839855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:53:57.839855Z digest=sha256:9d9ad227707ab26f55cebe2a5c14e3d8c991d5e29d830828866a7aaa21df0bde

Observation fd10a6c7-6bf5-442d-af3c-7ff7fb127326 · outbound

This paper cites Random erasing data augmentation,.

Cascading and Proxy Membership Inference Attacks Random erasing data augmentation,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:08.434240Z

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=2026-08-06T12:53:57.914731Z digest=sha256:6f92d8a61cd02fe6c5d71be2c3232209a0cf8c11d68579d143c4c74b86698472

Observation 3ed6e5e9-705e-4d9b-ba5e-40855763868b · outbound

This paper cites On the Impor- tance of Difficulty Calibration in Membership Inference Attacks,.

Cascading and Proxy Membership Inference Attacks On the Impor- tance of Difficulty Calibration in Membership Inference Attacks,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:08.266118Z

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=2026-08-06T12:53:58.033208Z digest=sha256:af91de2f783e420fb2beb3e980515b0585de29f369aa08ac69ad680aca6c9916

Observation 1e070620-5ae7-4c77-8e37-e9e7d2702259 · outbound

This paper cites En- hanced membership inference attacks against machine learning models,.

Cascading and Proxy Membership Inference Attacks En- hanced membership inference attacks against machine learning models,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:58.108735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:53:58.108735Z digest=sha256:35c9ff4af9cf2e05ed7637d63be354d5a5247e84d82b6b62877a945d034dd1b0

Observation ea177dd0-9408-4a6b-803c-3eed6d4dac82 · outbound

This paper cites Systematic evaluation of privacy risks of ma- chine learning models,.

Cascading and Proxy Membership Inference Attacks Systematic evaluation of privacy risks of ma- chine learning models,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:08.072698Z

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=2026-08-06T12:53:58.311452Z digest=sha256:36ffa507a95eeda5fc02dfa369464f50a925af00fc6007c6a28a873e387f1c3b

Observation 36e73c11-4bb9-455e-aff6-349eb3f814a9 · outbound

This paper cites Ge- nomic privacy and limits of individual detection in a pool,.

Cascading and Proxy Membership Inference Attacks Ge- nomic privacy and limits of individual detection in a pool,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:07.899401Z

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=2026-08-06T12:53:58.484743Z digest=sha256:65d81afdb0ad411a2f43551be5c46b28153044b95072a664fc14e6ab7f805f95

Observation 0879d326-a733-4f23-b970-535546977840 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

Cascading and Proxy Membership Inference Attacks Imagenet: A large-scale hierarchical image database,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:58.611708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:53:58.611708Z digest=sha256:4ffec6db59291e0822cf8cbd0065752f028cc935f8676ea4e27688987b866cb0

Observation 167eeb5a-b5fa-4984-a8b4-047735728f90 · outbound

This paper cites CINIC-10 is not ImageNet or CIFAR-10.

Cascading and Proxy Membership Inference Attacks CINIC-10 is not ImageNet or CIFAR-10

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:58.731828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:53:58.731828Z digest=sha256:533101c03a042b542da30d6edb6b0a3817b7037a3241bd92f7350b64d8abdce5

Observation d90372dd-e846-4d13-a4f3-555ccc76e218 · outbound

This paper cites Deep learning with differential privacy,.

Cascading and Proxy Membership Inference Attacks Deep learning with differential privacy,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:58.838345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:53:58.838345Z digest=sha256:ee9718d2a7330ba8cd346d07858be5af9bfc8c67d5dcc4a3637352f05e2c2a0b

Observation ab64553b-96d5-4efc-be99-ce349520443b · outbound

This paper cites Model inversion attacks that exploit confidence information and basic countermeasures,.

Cascading and Proxy Membership Inference Attacks Model inversion attacks that exploit confidence information and basic countermeasures,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:58.991554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:53:58.991554Z digest=sha256:dabbf19c80c483c709d5319822ecfe77c5a8674a13d3cab38908760a87ed36b0

Observation 1bed8cbb-1daf-4f0f-830e-98284cd42fe0 · outbound

This paper cites Property inference attacks on fully connected neural networks using permutation invariant representations,.

Cascading and Proxy Membership Inference Attacks Property inference attacks on fully connected neural networks using permutation invariant representations,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:07.608762Z

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=2026-08-06T12:53:59.079820Z digest=sha256:7fc8eaa20b388f0c789c43b89cb4e946104bcb593052747924e603e1402fb41c

Observation 24086362-6ed8-4c90-90e4-584c44b1b321 · outbound

This paper cites Membership privacy: A unifying framework for privacy definitions,.

Cascading and Proxy Membership Inference Attacks Membership privacy: A unifying framework for privacy definitions,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:07.398850Z

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=2026-08-06T12:53:59.167384Z digest=sha256:782d7031e9a98c3e39972bdadcdcbbf47b3b91dc0c5a1e747ead565762a5f8f8

Observation abb11bd7-ed16-40d6-aefd-a1bf6547fa51 · outbound

This paper cites Adversary instantiation: Lower bounds for differentially private machine learning,.

Cascading and Proxy Membership Inference Attacks Adversary instantiation: Lower bounds for differentially private machine learning,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:07.145294Z

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=2026-08-06T12:53:59.235829Z digest=sha256:98611daab0f96f8fad54cb49ce5287866e06e9fcb63acb4be8161188edd08981

Observation ad165f85-e91d-4a08-aa6e-91d1d04bb1e6 · outbound

This paper cites Auditing differentially private machine learning: How private is private sgd?.

Cascading and Proxy Membership Inference Attacks Auditing differentially private machine learning: How private is private sgd?

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:06.900812Z

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=2026-08-06T12:53:59.331185Z digest=sha256:186a647695423db3c7f2d511f4120d405d0742a596fdf4f3406297d5d8d084fd

Observation 58efd8fc-03e2-424b-9889-3984999117b9 · outbound

This paper cites Stolen memories: Leveraging model memorization for calibrated White-Box membership inference,.

Cascading and Proxy Membership Inference Attacks Stolen memories: Leveraging model memorization for calibrated White-Box membership inference,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:06.583465Z

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=2026-08-06T12:53:59.461719Z digest=sha256:41409bf1215f37efd4772a3ed8a57765305baea72bca8ae7ecd37e33d5fc6bdd

Observation c4370dc6-f5ff-48d6-8b92-c80d5fc171b5 · outbound

This paper cites Understanding Membership Inferences on Well-Generalized Learning Models.

Cascading and Proxy Membership Inference Attacks Understanding Membership Inferences on Well-Generalized Learning Models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:59.578742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:53:59.578742Z digest=sha256:10e45185bf7492af24ce26bcfa35f1eb34233bfcd03d34858dd4fdcfebf70aaf

Observation 76078221-f536-4912-a727-9e2a273d8022 · outbound

This paper cites ML-Doctor: Holistic risk assessment of inference attacks against machine learning models,.

Cascading and Proxy Membership Inference Attacks ML-Doctor: Holistic risk assessment of inference attacks against machine learning models,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:06.278383Z

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=2026-08-06T12:53:59.718888Z digest=sha256:aa0f349d86caf3a8b48e513747710efac0b2035761738edbbb0a8d1f5f765ab5

Observation 59120c6a-ce0b-4f16-a110-5038eb440c65 · outbound

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

Cascading and Proxy Membership Inference Attacks ML-Leaks: Model and Data Independent Membership Inference At- tacks and Defenses on Machine Learning Models,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:06.019437Z

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=2026-08-06T12:53:59.828646Z digest=sha256:296f70694f26e6ddd6395cea9d56a244ccae673f240cb0be5f58fdf5951e6d04

Observation 9c23fc8f-494f-4d6c-a360-4a2ab9ad229c · outbound

This paper cites Membership leakage in label-only exposures,.

Cascading and Proxy Membership Inference Attacks Membership leakage in label-only exposures,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:05.800655Z

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=2026-08-06T12:53:59.965532Z digest=sha256:6647a51fb0b262f15d3bf38c3949cdf7c15b7d8a7485376356171d4ce3913884

Observation e4aa10c9-320a-4871-af81-b010f111438a · outbound

This paper cites Label- only membership inference attacks,.

Cascading and Proxy Membership Inference Attacks Label- only membership inference attacks,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:05.573355Z

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=2026-08-06T12:54:00.079253Z digest=sha256:44bfd260d4b05d276225ef45a64094e5eeec994498d411b7c1434dee84c811f6

Observation 133aa1e4-99ce-4be2-a0ce-a814cdba64b6 · outbound

This paper cites Students parrot their teachers: Membership inference on model distillation,.

Cascading and Proxy Membership Inference Attacks Students parrot their teachers: Membership inference on model distillation,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:05.342302Z

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=2026-08-06T12:54:00.187224Z digest=sha256:bb315eff9b86bf38334b67eff5e9e202929503382649aafaa4a86514454b8ea6

Observation 693bcbb2-bd54-464f-a864-cc52c0d91be4 · outbound

This paper cites Membership Inference Attacks by Exploiting Loss Trajectory,.

Cascading and Proxy Membership Inference Attacks Membership Inference Attacks by Exploiting Loss Trajectory,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:05.117709Z

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=2026-08-06T12:54:00.278772Z digest=sha256:7e20a0d3a54db1a629599130bf56e9d146809559cdb052830123d45430133f53

Observation 2613d397-d297-4720-bd7f-36527c413078 · outbound

This paper cites A pragmatic approach to membership inferences on machine learning models,.

Cascading and Proxy Membership Inference Attacks A pragmatic approach to membership inferences on machine learning models,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:04.940747Z

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=2026-08-06T12:54:00.327613Z digest=sha256:9b764c27fa44a4a3676978777cf78916c85c36b6de18dc42e1c50f757336d54e

Observation 8741a7ff-6b48-40a4-b3c7-9f4564f828c9 · outbound

This paper cites The privacy onion effect: Memorization is relative,.

Cascading and Proxy Membership Inference Attacks The privacy onion effect: Memorization is relative,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:04.799951Z

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=2026-08-06T12:54:00.418933Z digest=sha256:f06e8bdaba9036bfceb0ef532676e7d7df40281f58f4d07f75f3e24a918781cb

Observation 44e65f9c-6adb-4cda-8c8a-a0523124afaf · outbound

This paper cites User-Level Membership Inference Attack against Metric Embedding Learning,.

Cascading and Proxy Membership Inference Attacks User-Level Membership Inference Attack against Metric Embedding Learning,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:04.656337Z

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=2026-08-06T12:54:00.536777Z digest=sha256:a9860d995fbea2a37ddce7336dd95b5ba784d9911c00147996a1551e0a34c03b

Observation 230cc0cc-05a4-4ff6-b5c6-23dc93ecd0ae · outbound

This paper cites Did the neurons read your book? document-level membership inference for large language models,.

Cascading and Proxy Membership Inference Attacks Did the neurons read your book? document-level membership inference for large language models,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:04.504446Z

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=2026-08-06T12:54:00.622497Z digest=sha256:fb29592d63a4a08965c20b0a0e2599ca64f55189c1f477bad08fdba0afd4198b

Observation daa5017e-ee3f-443e-88ac-7d77a82969b6 · outbound

This paper cites LOGAN: Membership Inference Attacks Against Generative Models.

Cascading and Proxy Membership Inference Attacks LOGAN: Membership Inference Attacks Against Generative Models

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T12:54:00.778223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:54:00.778223Z digest=sha256:7dd401b5884f65c5ac7b19a3fb533c1f2f5572ee36163f92dea297bf562d19a9

Observation 967ccff5-dd7e-4d9e-a0e0-06b68c2b608d · outbound

This paper cites Are diffusion models vulnerable to membership inference attacks?.

Cascading and Proxy Membership Inference Attacks Are diffusion models vulnerable to membership inference attacks?

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:04.375363Z

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=2026-08-06T12:54:00.936431Z digest=sha256:554b6b92cf6524789f9a6a8dcb934112d0d0049b4da231b2340b6a38072cf7c2

Observation b9396d14-49be-46fd-8907-e0029956fb9d · outbound

This paper cites Do Membership Inference Attacks Work on Large Language Models?.

Cascading and Proxy Membership Inference Attacks Do Membership Inference Attacks Work on Large Language Models?

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-06T12:54:01.045235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:54:01.045235Z digest=sha256:09a163c69a266e09b86e151e6f17e29f00cf7070add4abc81a78b72c3770fd96

Observation c325778a-7c55-4d29-98ef-516d7dfa15ef · outbound

This paper cites Williams,Probability with martingales.

Cascading and Proxy Membership Inference Attacks Williams,Probability with martingales

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:04.106357Z

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=2026-08-06T12:54:01.202501Z digest=sha256:e29845b7df787d313caf0649eaa3a71a2ab1e470d564ceae59898ab8cb99016c

Observation f54b7516-90be-47f9-94b1-76b6b5627c3e · outbound

This paper cites Markov chains for exploring posterior distributions,.

Cascading and Proxy Membership Inference Attacks Markov chains for exploring posterior distributions,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:03.948958Z

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=2026-08-06T12:54:01.339071Z digest=sha256:815c5f7122657260f2995bc6ab250026280c76c3d0590e78bd8bbe04b9422d8b

Observation c3c683b3-d71e-4512-b276-af3d20576f11 · outbound

This paper cites Peskun’s theorem and a modified discrete-state Gibbs sampler.

Cascading and Proxy Membership Inference Attacks Peskun’s theorem and a modified discrete-state Gibbs sampler

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:03.765497Z

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=2026-08-06T12:54:01.466653Z digest=sha256:13440b0c0628448ff92356f947b566e070ff329cbd583da14d8585718132b55d

Observation 0c4aaeb2-b5b5-45d5-8a3f-c1323a264d38 · outbound

This paper cites General state space Markov chains and MCMC algorithms,.

Cascading and Proxy Membership Inference Attacks General state space Markov chains and MCMC algorithms,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:03.646283Z

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=2026-08-06T12:54:01.543602Z digest=sha256:d4bd06b8e72589eca7ff51176b3a7caa9e5fe2063fda0a1dd7b7188e82b724b0

Observation abc0d613-9238-4b6b-bc97-add1ceba077a · outbound

This paper cites an unresolved cited work.

Cascading and Proxy Membership Inference Attacks Unresolved cited work

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-06T12:54:01.681894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:54:01.681894Z digest=sha256:8a0ee56464d70f37a6a68979e09c360f215fdfed125333f89591f30e1b85b90c

Observation c8dee595-558e-45a0-92d2-b85e35a8e034 · outbound

This paper cites an unresolved cited work.

Cascading and Proxy Membership Inference Attacks Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:54:03.482630Z

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=2026-08-06T12:54:01.857794Z digest=sha256:804ebb944d663045185dde117bcc0f5b83096b69c39d3d7cddef92c27fe0592f

Observation 1e357f43-e1ff-4e0b-8a4c-fb3bde2a7e0b · outbound

This paper cites Meyn and R.

Cascading and Proxy Membership Inference Attacks Meyn and R

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:03.195578Z

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=2026-08-06T12:54:01.981083Z digest=sha256:abe239013af4d79edb1b3cdd89828b2fc7d1975ac9ef5d90e7c64d7a42fda2fd

Observation 7bd5b3dc-7d6c-4568-b266-258789323d00 · outbound

This paper cites an unresolved cited work.

Cascading and Proxy Membership Inference Attacks Unresolved cited work

Reference 71

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:54:02.988779Z

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=2026-08-06T12:54:02.105947Z digest=sha256:27846614ee381afa342cc2408730067356b2abc93e6079270e9effb9eee65377

Observation 5a4dce57-948d-416d-86ec-09051ccfc67a · outbound

This paper cites Proof.We prove the above theorem by establishing that the Gibbs sampling procedure forms a Markov chain that satisfies the conditions for the Martingale Convergence Theorem [64].

Cascading and Proxy Membership Inference Attacks Proof.We prove the above theorem by establishing that the Gibbs sampling procedure forms a Markov chain that satisfies the conditions for the Martingale Convergence Theorem [64]

Reference 72

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T12:54:02.705608Z

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=2026-08-06T12:54:02.255763Z digest=sha256:daa03eabf2e3ad5ff701667981177e8470522e35faaf18119e9e0abda3d1a477

Pith citing papers

Observation 6b470e04-f5db-4611-990a-427fab0177c6 · inbound

Rethinking the Security of DP-SGD: A Corrected Analysis of Differentially Private Machine Learning cites this paper.

Rethinking the Security of DP-SGD: A Corrected Analysis of Differentially Private Machine Learning Cascading and Proxy Membership Inference Attacks

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-20T18:18:52.491928Z

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=2026-05-20T18:17:06.017591Z digest=sha256:6efdf052351e118d8c913bdb09f110d9f3fe3d58a67eb1a556dbde5f3180b49d