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Paper Citation Record · LEDGER

Cascading and Proxy Membership Inference Attacks

As of 11 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 2026-08-10T06:31:04.303077+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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:53:52.971631Z digest=sha256:63c64a05683fd1347659ec99a28708d52a7344ba8e828a6f8c4f9ebc708e1001

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

This paper cites Differential Privacy,.

Cascading and Proxy Membership Inference Attacks Differential Privacy,

Reference 2

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:53:53.042820Z digest=sha256:12094889ce6a2acf5114d87b94b1ac281b8f6150e11c24aecd5bb1b5f92ddbb0

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

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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=sha256:338bece2b673921524ced66c7bcf1eaedb6a0f38260024340f884e0191b1b60d

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:53:53.367229Z digest=sha256:e68b71ba22d3ee211d106b63eff1ab7ceadc8d8882b44e273a8b9927cfc3e305

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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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=sha256:9ff2a5fdb1985a0a9734c4cf906f71b75b5b551e78e69b83b6cefc77fcba24f5

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:53:53.644093Z digest=sha256:f2262a44a02394f231cfaa1c6e908cb9a64ff47a983a0bd1928b47cef537cb43

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:53:53.763737Z digest=sha256:c9d0d7b5737a0835b710035236fc555d8141259fac17c73a13a2974cd2c1457e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:53:53.932492Z digest=sha256:272b727ae03b330bbd65d85c13329de81c4b3183dbf00937dfccc5cb8a80fd81

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:cbd48971671a739ba54aca0cd29b8a75060f279ea72acfeac9dd5e47d213ef3c

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

Resolution
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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:53:54.207156Z digest=sha256:651a5093ab5a716530729d93de7db9c68c8fa3014c594401218ce0e753b59bf1

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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raw_fallback, observed 2026-08-06T12:54:12.135236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:53:54.345227Z digest=sha256:0668afe8d4fc096beb8e5cb8e61b9b742f87600a4de6071cb589c749d117e026

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:53:54.503513Z digest=sha256:6a2d75819f61a54ec6c3f3b3ff299a3868f7895921a108351420ffb815fcd1b3

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:53:54.643912Z digest=sha256:f957b460911bd44bedb830500a9a2978f57cfd8923391edd547eedd22702dc83

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:53:54.752556Z digest=sha256:c031095032b80e717e34c165719ecdee2c0f462c1b317bc54eeef5ea508f29cf

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:53:54.934287Z digest=sha256:bf37fca843425171bb98ba648feb2cc3c7deed6ee4e792478f0fef07408cb5c1

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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no resolver link, observed 2026-08-06T12:53:55.068305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:53:55.068305Z digest=sha256:d76305329cf0993295b2270f20035709b7386f855a219aeb65bd9dff75005f32

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:53:55.202850Z digest=sha256:1dc5e71bce317918d6e6abd9ac403d25f0e063a8bfa527117692ac95a4be2a62

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:53:55.383202Z digest=sha256:8a93a98dba6b7e5149de8a2bc3238111bde9f172f761b3f70892012a295ed924

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:53:55.465716Z digest=sha256:469897c80b705afb661b47814983f0a7cfeea23b3e58bd2ad1c2852b9d2febe0

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:53:55.608260Z digest=sha256:bc8545a3374c38927c00c9e72383ef7e3996ee76b8ef3a8dfbbbf1a2674b4d5f

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:53:55.763361Z digest=sha256:7dfa83ca5c30d30b80c2551bf44ad31814d0c0db8575dfc381abf757c8cf8dba

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:53:55.854288Z digest=sha256:b8becdd2dfef619f20b1ff6d06481a68070ee18ad8a084f92ad23e7a0ae2704e

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:53:55.983418Z digest=sha256:4a937c17eb0101fbfd73136b46014f1b04e57546e47c5a1221397a84473e84ea

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:53:56.132465Z digest=sha256:7dff8e2d92731012e0dc903ff5ce42314a1a47bc32e571cfbbe6d7ddfabbab10

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:f2a3335750646bd6fd0871b90f79b159688997620030b840777026ac05f5bcc5

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:c9e5b487ad7c54ab064dc309fc1281621cbab3111d90f0016602de7a1b177fc3

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:53:56.679978Z digest=sha256:a2f962994741b7803be30e307ac81e7d4d396463c4a45073844cbd116f50dfde

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=sha256:8986de380dec4dae57b4eb03a877260b0ff51e92c08745bfe1e419b065005684

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=sha256:1f80e68141696c910485d41a08613a7fe35796c4f3201a7cbeac10a30cc82f91

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:b2640202620cc43b36c4dced820ee76ff16f789e1fb37521c196aaa238c9980a

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:faad10d5e70ad200bcd311085745d14537559cb5aff926ec44ab78fe1ef624da

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

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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:f8157f8309b63d29b429015401aaf9497a31c041884f0db618400825a23bd0ad

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=sha256:0d627943696c0ba292dc7bb519d499676b89db46abbf850dd9ce0ef3cba4f4f9

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:53:57.705538Z digest=sha256:4712ce026076d562bde350b81d295ec981b19ea3eb7b56576eec9f241d7f27c0

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=sha256:890f7d4ca4084a61ad3929b3fd79895cf1f57563e9de526276a10475434d579b

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:53:57.914731Z digest=sha256:ad00cbcb56358363d3f491700b7c07c0aba1ca30b5fc2e509a2e66bc47f83201

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:53:58.033208Z digest=sha256:b52933cb3235aa933c20fd7574acd659e384e4715929a4d9be3cf0692b90a384

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=sha256:0cb56489fdb1032384c06eb5fb20cfd03264df86c5757980678a3fe8b87c6f86

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:53:58.311452Z digest=sha256:86c3b7dbf3da7cafb183767f22c067a4c793dde7d947c4beb91e4e21883dd590

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:53:58.484743Z digest=sha256:3698fa40ec1a1d0ea608e378936911160d72e0290771d3051e45cfef9d6a7ea2

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:e47bf661f9cb709ce9aac53397d7f62c0dfdd0467d53dbc8513330163bb3ff83

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=sha256:1fd869b3e56827d618ca9c96b956592f25ea9f77aa7b2168f37430dcae545011

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=sha256:7be071cedf276e1874cfdc8c02d3a60e62dd57f2949064fbe7f9d30f40fee260

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:c587b8a0e7a41ccfe1c4a5e0bf8899bd49526c58abdd770a7892243ce7f21d78

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:53:59.079820Z digest=sha256:7348c76d46515afe60faba385065ad259f99e90b7b35ed557acae10eb68e56d7

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:53:59.167384Z digest=sha256:8e1c3fd376e66b97be012da3cc73e0472e03006e98d268d06e4cb04950be0986

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:53:59.235829Z digest=sha256:61c5a512fd4d3b97c042ef0f00045ac0981f573dee0d10c511bc62f0b61e0098

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:53:59.331185Z digest=sha256:1de991b5719e0731d240446b769f1491948b9b6ca806942389cf1df9d2e76c8d

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:53:59.461719Z digest=sha256:b166ab34a47e7a28a73a7663d31eb92db9167bc4f84b975720f70014d0608a69

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=sha256:9834913240fb86e5edfeffd05ae1ccbe772bb748a530ae6d5ac2044051721a33

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:53:59.718888Z digest=sha256:628d8c9efea049fdd045ac6572ba455c0fe2a14a85b078fb1b7892873ba4cb32

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:53:59.828646Z digest=sha256:723bd41350e858d58a4e5135781ebc9013be0eb96207fd9213a5bca6fe05b8df

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:53:59.965532Z digest=sha256:e2500612fd3baadf8a51cae085e4a789be5458ec102ee24e84ee3a24d510d875

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:54:00.079253Z digest=sha256:3f9b5e93d87603934d69cacd695da9faec4f405d02f6fa0cdfe33258e883e3fe

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:54:00.187224Z digest=sha256:c4a9b675104ea094c6898a454178af23bce287c2905607b1dae5067b4cf12e6f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:54:00.278772Z digest=sha256:6c438a26fa0649dd4e2de4107c544791390c7cb39914b997441beccc82c50708

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:54:00.327613Z digest=sha256:5ea1b6558ba7fdb77f0ea7b5e2e56bf30bb875d9d15eb6e68f98a0f2dd9cb26c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:54:00.418933Z digest=sha256:5e019fc43d2aa27e2adb9645b0c35cb23244555e3e9aebc0224cbec40d1a5b43

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:54:00.536777Z digest=sha256:cb29823c116ac5145bfde683f4210642877b9abef9273cb7deda45bf66671460

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:54:00.622497Z digest=sha256:530f7cb337e4a1f913751511fba61033b84ca7f6ee7579040367ba2640b1ab3f

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=sha256:13bf2ccad37212716a74e8773cafb6c4f5d5c40f3ff96f6d2d5f6c1bfc95a614

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:54:00.936431Z digest=sha256:cb1236c5b5d0b3a376abbaff12373c20afc9670bd59e72c4b49784e6e26a41ab

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=sha256:84dee4e3001c9ccb2a52ba792f02485b480c9acac08c3885656ec8878654ad9c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:54:01.202501Z digest=sha256:15279daab25c5b152371e8e574511d186df1c556f7ad9cce1467631c22e308d4

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:54:01.339071Z digest=sha256:e6dad0e5bd2f58b6d2783207002e9a1d53164b7ad1a75d0b2dc8547aa5cd7b9e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:54:01.466653Z digest=sha256:7488541b5aa9a542f89447345c3238a4d7a6243e61712ca8280e49f53cf69317

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:54:01.543602Z digest=sha256:dc525ef1cd48553800373b569c86a96670811d849e0f41c4878b5b2334eda54f

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

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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:a329ba535c8d3ee6a180db468371bf239880ecfb287c6087e93b87eba823e5be

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:54:01.857794Z digest=sha256:9faa16bfb8bb4809b65dc237792ecf01beecd4adb678971a2b39b1d35a01a327

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:54:01.981083Z digest=sha256:16189e3b17099a6d8a1b8d61b98d1749fb531d07c6465a24fc8873c3ce6eeef5

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:54:02.105947Z digest=sha256:ddee86cd03cb472f21519724ff2d84ddd1afab17b3eb54332ffb3f911b6e182e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T12:54:02.255763Z digest=sha256:ee537503b31e28466f5e53966aa8b9d9efceb6be4c558c40c162736b9f9981e3

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T18:17:06.017591Z digest=sha256:6124332825ae5d0bf25b8be9b55ed284082b606eb6284b9a6f58f4b09a08db20