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Paper Citation Record · LEDGER

Securing Genomic Data Against Inference Attacks in Federated Learning Environments

As of 20 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 2 inbound Pith citation observations for arXiv:2505.07188.

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

pith.paper-citation-record.v1
2505.07188 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:27:03.628537Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:25:42.458952Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T09:00:58.148470Z

Reference resolution

48 of 48 outbound references displayed

  • verified exact15
  • verified fuzzy13
  • unresolved16
  • parse uncertain0
  • malformed identifier4
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2ce6ca9a-e690-426a-b178-dbd0b4e0c5a1 · outbound

This paper cites Recent Advances on Federated Learning: A Systematic Survey.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments Recent Advances on Federated Learning: A Systematic Survey

Reference 1

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:03.444269Z digest=sha256:a9e77aab6644af7d51dc8c445f0bc074e8a52b162ce1f3401c06b5afe282bd30

Observation ac53ffed-e35b-493d-86fc-b310ba7716d3 · outbound

This paper cites A Survey for Federated Learning Evaluations: Goals and Measures.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments A Survey for Federated Learning Evaluations: Goals and Measures

Reference 2

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verified exact
local_arxiv, observed 2026-08-15T22:27:04.208813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:03.449364Z digest=sha256:aae3ad0d4d2197e9d89854c226c4eed6f7f13287167a628e5cf5cfae0c72bfa0

Observation 05f39ef8-b5b0-4fa7-a0ab-4a5fcd0b16eb · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 3

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no resolver link, observed 2026-08-15T22:27:03.454141Z

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source=pdf_text observed=2026-08-15T22:27:03.454141Z digest=sha256:4760b0d4b36d71bc86bd9a6b4618deb06856269907717e910007fa7bc2c5f8e2

Observation 52f9ea50-22a5-4808-82b4-4b3d8cb6d2a4 · outbound

This paper cites ”GBMIA: Gradient-based Mem- bership Inference Attack in Federated Learning” ICC 2023 - IEEE International Conference on Communications.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments ”GBMIA: Gradient-based Mem- bership Inference Attack in Federated Learning” ICC 2023 - IEEE International Conference on Communications

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-15T22:27:04.366973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:03.463212Z digest=sha256:4944030d8543fde042d56fe606ff1a6d9ed528295fafee9ea99c09f05fa9504c

Observation 1b6e2ca8-7ba8-49ee-90be-6b5c9faf0910 · outbound

This paper cites an unresolved cited work.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments Unresolved cited work

Reference 6

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raw_fallback, observed 2026-08-15T22:27:04.357534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:03.467267Z digest=sha256:ed46edfa63b76ba46de97e75edfbaaac1857ead5509529df7b11560f7c7fd8d8

Observation 3642fdf8-3530-4397-8e34-f5233e0036a7 · outbound

This paper cites Subject Membership Inference Attacks in Federated Learning.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments Subject Membership Inference Attacks in Federated Learning

Reference 7

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no resolver link, observed 2026-08-15T22:27:03.471400Z

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source=pdf_text observed=2026-08-15T22:27:03.471400Z digest=sha256:d6ffc58de075fcd901f6d45bfcfe8b743992b5bf1ab6f77146f0b0dd969b8d4d

Observation 3636cac3-c737-471b-b53b-310b079c3c77 · outbound

This paper cites ”Label Inference Attacks Against Vertical Federated Learning” 31st USENIX Security Symposium (USENIX Security 22).

Securing Genomic Data Against Inference Attacks in Federated Learning Environments ”Label Inference Attacks Against Vertical Federated Learning” 31st USENIX Security Symposium (USENIX Security 22)

Reference 8

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raw_fallback, observed 2026-08-15T22:27:04.348157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:03.476000Z digest=sha256:ff0843cb1bfc17e3ba86270dcf6f7baf84801d8ffb0893ae33401415e76218f4

Observation 960f0162-f67d-482b-b973-820d122fd584 · outbound

This paper cites an unresolved cited work.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments Unresolved cited work

Reference 9

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no resolver link, observed 2026-08-15T22:27:03.482390Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T22:27:03.482390Z digest=sha256:5610d99e55159216a21d69b37374f243dc61d81dc3983bb3f2bb4a70f2905529

Observation 838ddfc1-8f6b-4825-bad9-13021099cb47 · outbound

This paper cites ”Efficacy of federated learning on genomic data: a study on the UK Biobank and the 1000 Genomes Project” Frontiers in Big Data.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments ”Efficacy of federated learning on genomic data: a study on the UK Biobank and the 1000 Genomes Project” Frontiers in Big Data

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-15T22:27:04.338489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:03.486509Z digest=sha256:31ed5e39ac15fe3305b9174e375dd69e97a25f3e259fc26e3d2876ab5d8cc4cb

Observation fdc98700-a9e2-48ad-bbfc-74f53f0ea80d · outbound

This paper cites Active Membership Inference Attack under Local Differential Privacy in Federated Learning.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments Active Membership Inference Attack under Local Differential Privacy in Federated Learning

Reference 11

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no resolver link, observed 2026-08-15T22:27:03.492242Z

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source=pdf_text observed=2026-08-15T22:27:03.492242Z digest=sha256:1ae3a57dd4f608d3d385d34c917de0cdfcaace5328f7c1483ed9350c24055ff2

Observation 0f6f3547-a891-445e-a3fe-c91cf84ffca5 · outbound

This paper cites ”Federated Learning: Breaking Down Barriers in Global Genomic Research” Genes.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments ”Federated Learning: Breaking Down Barriers in Global Genomic Research” Genes

Reference 12

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verified exact
doi, observed 2026-08-15T22:27:03.749729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:03.497305Z digest=sha256:d13010488dca26c06e374d399eb749b88d46ab4f7b19f8c0fe6d987e7bca2697

Observation 87fcaa01-7f44-411b-b1d1-b2a2328d22bd · outbound

This paper cites ”Federated Analysis for Privacy-Preserving Data Sharing: A Technical and Legal Primer.” Annu Rev Genomics Hum Genet.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments ”Federated Analysis for Privacy-Preserving Data Sharing: A Technical and Legal Primer.” Annu Rev Genomics Hum Genet

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:03.501558Z digest=sha256:8a0ec56e6b48080028544ad1df3f6b400e2203ddd1fa1aa8faae4f3799b05c4b

Observation 865109e4-c7e5-4687-8192-808f7fe425b4 · outbound

This paper cites ”Genome interpretation in a federated learning context allows the multi-center exome-based risk prediction of Crohn’s disease patients” Sci Rep 13, 19449 (2023).

Securing Genomic Data Against Inference Attacks in Federated Learning Environments ”Genome interpretation in a federated learning context allows the multi-center exome-based risk prediction of Crohn’s disease patients” Sci Rep 13, 19449 (2023)

Reference 14

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doi, observed 2026-08-15T22:27:03.729794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:03.505567Z digest=sha256:6cd067a31646065af16ea3a2a507fb91c31375992dd2d673c9a46d94350c7ad4

Observation 06538989-6e82-4c18-b544-614f1ff61589 · outbound

This paper cites Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation

Reference 15

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source=pdf_text observed=2026-08-15T22:27:03.509575Z digest=sha256:b4d3e913e23ec981715f9d26be4aa78dd74b92a3b85403a3ceda3195fba85d68

Observation e403be5d-bea9-44af-a923-914e46baf27b · outbound

This paper cites an unresolved cited work.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments Unresolved cited work

Reference 16

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no resolver link, observed 2026-08-15T22:27:03.513668Z

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source=pdf_text observed=2026-08-15T22:27:03.513668Z digest=sha256:65d482bc70b4401b62e0fe94382ba99425491f8bd147242d5164da04aed1aae0

Observation 51c0ae8f-aa76-49a5-b3c4-5097d5e3287f · outbound

This paper cites Security and Privacy Issues of Federated Learning.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments Security and Privacy Issues of Federated Learning

Reference 18

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verified exact
local_arxiv, observed 2026-08-15T22:27:04.083013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:03.522031Z digest=sha256:324ef6a94376bbeb332d0549d6ac8073c2491bbc2a4e32e9ebb7ed1d7027ef8c

Observation c2aea2ba-b38f-4a11-ae76-a59b7f46dbed · outbound

This paper cites ”More than Enough is Too Much: Adaptive Defenses against Gradient Leakage in Production Federated Learning” IEEE INFOCOM 2023.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments ”More than Enough is Too Much: Adaptive Defenses against Gradient Leakage in Production Federated Learning” IEEE INFOCOM 2023

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-15T22:27:04.328441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:03.525624Z digest=sha256:9e0232bb50b1643394dd8dbfe3273dda93316f180bb555c05f8efec4f9f1a55a

Observation 9bc31d7e-7d14-4aba-8326-44dad7867471 · outbound

This paper cites ”Generalized genomic data sharing for differentially private federated learning” J Biomed Inform.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments ”Generalized genomic data sharing for differentially private federated learning” J Biomed Inform

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:03.529431Z digest=sha256:ee83823c14804e3f17023b9031a7a74973d2d920bef0b6cb2acc92ce08ef20f9

Observation 539ffc67-0970-4aee-b573-7771834c3f25 · outbound

This paper cites ”Re-identification of individuals in genomic datasets using public face images” American Association for the Advancement of Science (AAAS) http://dx.doi.org/10.1126/sciadv.abg3296.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments ”Re-identification of individuals in genomic datasets using public face images” American Association for the Advancement of Science (AAAS) http://dx.doi.org/10.1126/sciadv.abg3296

Reference 21

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doi, observed 2026-08-15T22:27:03.719666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:03.533684Z digest=sha256:a04df6bfe8e6949c5121717ab62179ce347083614abe5b350ac5ebe40867bfea

Observation f337445f-aa71-4586-981b-455964a292da · outbound

This paper cites ”Identifying personal genomes by surname inference.” Science.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments ”Identifying personal genomes by surname inference.” Science

Reference 22

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no resolver link, observed 2026-08-15T22:27:03.538061Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T22:27:03.538061Z digest=sha256:23de2195c0c34192a72810604b8db7b7a6ea3232d590291eb27e6bbef3f57a8f

Observation ffc025a1-1b5c-4479-9fde-716c47bde5f4 · outbound

This paper cites an unresolved cited work.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments Unresolved cited work

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:03.542135Z digest=sha256:0de0c2058446f2da37a27a0ea9c4d7bf1a33f8c80db742e5fb1d967e32eed8b9

Observation 12f79aeb-c80b-4bb7-9366-4f850cf7f2b3 · outbound

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

Securing Genomic Data Against Inference Attacks in Federated Learning Environments ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

Reference 24

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source=pdf_text observed=2026-08-15T22:27:03.545332Z digest=sha256:b606a4006325fffe44077e0f22d0f6a3802e565c53d5661bb51a12359fbfbfa4

Observation a656943b-4907-4d98-807c-665860033f6c · outbound

This paper cites ”Privacy and Security in Fed- erated Learning: A Survey” Applied Sciences 12, no.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments ”Privacy and Security in Fed- erated Learning: A Survey” Applied Sciences 12, no

Reference 25

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verified exact
doi, observed 2026-08-15T22:27:03.703835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:03.548812Z digest=sha256:dd68ab496d8705dd73d65b5649a5cb371c2ac870af5d7279a6151710a1038a1d

Observation a16294d7-1e9c-4ad4-96dc-69ccda31bb09 · outbound

This paper cites ”Privacy in Federated Learning” http://dx.doi.org/10.5772/intechopen.1003421.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments ”Privacy in Federated Learning” http://dx.doi.org/10.5772/intechopen.1003421

Reference 26

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verified exact
doi, observed 2026-08-15T22:27:03.693883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:03.552478Z digest=sha256:deb05bbc56640b615ce72d1e2273ad74d19563479616c03c1ffbf6eeb23cf36a

Observation add87ad1-379e-4a81-b085-2488c46a5a24 · outbound

This paper cites Membership Inference Attacks against Machine Learning Models.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments Membership Inference Attacks against Machine Learning Models

Reference 27

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no resolver link, observed 2026-08-15T22:27:03.555674Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T22:27:03.555674Z digest=sha256:55a8a0f061a15c24ba4fa368094ea5a429eb7a597cc107f054d988e71200c5d8

Observation 323309c4-763e-4a6c-901e-0d10f7599bd0 · outbound

This paper cites When the Curious Abandon Honesty: Federated Learning Is Not Private.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments When the Curious Abandon Honesty: Federated Learning Is Not Private

Reference 28

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no resolver link, observed 2026-08-15T22:27:03.558621Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T22:27:03.558621Z digest=sha256:470c4420bbc751f17016f4eb400615d7e079ec47c4ea7e5aca765472d9a2e1d9

Observation c99c8cac-d102-488d-bca3-7ce81e46a64d · outbound

This paper cites ”A Novel Model-Based Attribute Inference Attack in Federated Learning.” OpenReview https://openreview.net/forum?id=jJx00vsVVSF.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments ”A Novel Model-Based Attribute Inference Attack in Federated Learning.” OpenReview https://openreview.net/forum?id=jJx00vsVVSF

Reference 29

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raw_fallback, observed 2026-08-15T22:27:04.298676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:03.562298Z digest=sha256:f7c9e4adc926daa38586e09c8a7790649489f2bd868d3b9ed5bf59b19fdfec20

Observation 9dadb9ca-d317-4892-a430-2f2285ea6879 · outbound

This paper cites Advances and Open Problems in Federated Learning.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments Advances and Open Problems in Federated Learning

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:03.565690Z digest=sha256:c25e51a442e49064187274ac194ae36b42d8cfe696ade7668bd4e6b4c841de37

Observation 0f98c01d-2e33-4bf7-9e5a-67188fa8e403 · outbound

This paper cites ”GBMIA: Gradient-based Membership Inference Attack in Federated Learning” ICC 2023 - IEEE International Conference on Communications.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments ”GBMIA: Gradient-based Membership Inference Attack in Federated Learning” ICC 2023 - IEEE International Conference on Communications

Reference 31

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raw_fallback, observed 2026-08-15T22:27:04.288999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:03.568873Z digest=sha256:b1f254fa5e97084e7d9869ef2cd672c18870e126d2870873c3f66134c1f3b756

Observation 1e5c0466-3fff-49db-b552-1b6bb6b73367 · outbound

This paper cites Membership Inference Attacks and Defenses in Federated Learning: A Survey.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments Membership Inference Attacks and Defenses in Federated Learning: A Survey

Reference 32

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no resolver link, observed 2026-08-15T22:27:03.571898Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T22:27:03.571898Z digest=sha256:e34ba99ce9d99364015592ce7dc692b3e734fa252b6c67ac6ffa9590cd3c7cc5

Observation d4810476-c7c3-4e74-8c21-3f47457b5064 · outbound

This paper cites Robust Federated Learning Mitigates Client-side Training Data Distribution Inference Attacks.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments Robust Federated Learning Mitigates Client-side Training Data Distribution Inference Attacks

Reference 33

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verified exact
local_arxiv, observed 2026-08-15T22:27:04.042775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:03.574692Z digest=sha256:51f62eba52aaada06840d7570a8a612a04b66871da80258593b6cac813b21967

Observation 77b0da5d-5049-458c-9ffe-ac443587c9a9 · outbound

This paper cites an unresolved cited work.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments Unresolved cited work

Reference 34

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doi, observed 2026-08-15T22:27:03.683800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:03.578010Z digest=sha256:7a8399958ebd8487c90f6100fe9e81e07e6de9178b8860e799b18c958b2f8a20

Observation 53ca61dc-531f-430c-b9e6-a48d250e0a81 · outbound

This paper cites ”Differential Privacy Protection Against Membership Inference Attack on Machine Learning for Genomic Data.” Pac Symp Biocomput.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments ”Differential Privacy Protection Against Membership Inference Attack on Machine Learning for Genomic Data.” Pac Symp Biocomput

Reference 35

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raw_fallback, observed 2026-08-15T22:27:04.279111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:03.580982Z digest=sha256:9220759c968b40aa3bb6f33419fe544b81d21660264d9da1a36313412cc84f0a

Observation 9fca9673-b829-45ad-aca0-d6b94ba03f02 · outbound

This paper cites Gradient Obfuscation Gives a False Sense of Security in Federated Learning.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments Gradient Obfuscation Gives a False Sense of Security in Federated Learning

Reference 36

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verified exact
local_arxiv, observed 2026-08-15T22:27:04.028293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:03.583898Z digest=sha256:90c3e9d882a860f062d3ef71e40aba482ae6078c94573ffb7a810f34e629b62b

Observation 9ed8869e-52bb-4793-88fe-aa06452d670c · outbound

This paper cites ”Practical Secure Ag- gregation for Privacy-Preserving Machine Learning” Association for Computing Machinery, https://doi.org/10.1145/3133956.3133982.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments ”Practical Secure Ag- gregation for Privacy-Preserving Machine Learning” Association for Computing Machinery, https://doi.org/10.1145/3133956.3133982

Reference 37

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:03.587252Z digest=sha256:6e06eddc24bb47a5f2dbbe46326de27051dfeec6453e1f51c79dc1546764eeeb

Observation c82754d3-2f25-4d00-98d6-bed26b9282dd · outbound

This paper cites an unresolved cited work.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments Unresolved cited work

Reference 38

Resolution
malformed identifier
doi_truncated, observed 2026-08-15T22:27:03.674484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:03.590499Z digest=sha256:0d5ba5b16a274d9d196df590d5292bac3469a1cd9cd2c6c7a56b65c6afcaf865

Observation bed0bf1f-fa6b-4c49-a0b8-4a2cabfae40f · outbound

This paper cites an unresolved cited work.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments Unresolved cited work

Reference 39

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no resolver link, observed 2026-08-15T22:27:03.593523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:03.593523Z digest=sha256:87ba56ac189dcea3353d00eb3ccc6a93da27da3e3f76806676e20a41e559490b

Observation 9d5bc33f-df30-4f80-a976-48a09fd50225 · outbound

This paper cites ”SoK: Secure Aggregation based on cryp- tographic schemes for Federated Learning.” PETS 2023, 23rd Pri- vacy Enhancing Technologies Symposium, IACR, Jul 2023, Lausanne, Switzerland.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments ”SoK: Secure Aggregation based on cryp- tographic schemes for Federated Learning.” PETS 2023, 23rd Pri- vacy Enhancing Technologies Symposium, IACR, Jul 2023, Lausanne, Switzerland

Reference 40

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verified fuzzy
raw_fallback, observed 2026-08-15T22:27:04.268342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:03.596771Z digest=sha256:14852439da4076cd0d3c3d9dcfa1eab96ad874c76e38c186cd7e722a84370c48

Observation 5d1cb505-3107-431f-8e2b-dcece2bc562d · outbound

This paper cites an unresolved cited work.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments Unresolved cited work

Reference 41

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:03.599943Z digest=sha256:0657c6c7b4cd6927a5d23921aa0349d8d969905bea5b14a6a2d5ec5698e5ec2b

Observation 23e93aa6-c64a-4138-a891-6b1eb10d1ceb · outbound

This paper cites ”Democratizing clinical-genomic data: How federated platforms can promote benefits sharing in ge- nomics.” Frontiers in Genetics.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments ”Democratizing clinical-genomic data: How federated platforms can promote benefits sharing in ge- nomics.” Frontiers in Genetics

Reference 42

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verified fuzzy
raw_fallback, observed 2026-08-15T22:27:04.258567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:03.602956Z digest=sha256:6489031570b316787369a1e806d2f359aca8dd3d679f2486972dd79d59be3e21

Observation e9f0e7e9-3fc9-40ce-9e94-8dfad47d2fa7 · outbound

This paper cites Federated Learning in Genetics: Extended Analysis of Accuracy, Performance and Privacy Trade-offs.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments Federated Learning in Genetics: Extended Analysis of Accuracy, Performance and Privacy Trade-offs

Reference 43

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verified exact
local_arxiv, observed 2026-08-15T22:27:03.951627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:03.606098Z digest=sha256:c5a5e247ab9d9652a162637093374e940eee11760ee5a4e75d88ff8175a2e438

Observation a6b90fe4-9a61-4950-bc38-12a4a2eee45a · outbound

This paper cites ”Technical Insights and Legal Considerations for Advancing Federated Learning in Bioinformatics.” arXiv preprint arXiv:2503.09649 (2025).

Securing Genomic Data Against Inference Attacks in Federated Learning Environments ”Technical Insights and Legal Considerations for Advancing Federated Learning in Bioinformatics.” arXiv preprint arXiv:2503.09649 (2025)

Reference 44

Resolution
verified exact
raw_fallback, observed 2026-08-15T22:27:03.936500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:03.609491Z digest=sha256:56c59da443157417f3dcf8a2014d8995bf16979d837d5659ca86b39d96983859

Observation aeb0b675-3c8a-4013-930e-f99ce4e07570 · outbound

This paper cites Differentially Private Federated Learning for Cancer Prediction.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments Differentially Private Federated Learning for Cancer Prediction

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-08-15T22:27:03.880844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:03.612852Z digest=sha256:8e3a49e217be1c29b5ea49187d0da2fe0851a8bfeb8d2251b53fe4309d3de79f

Observation c4c11944-4f8d-4bd5-9914-1e8e38ec56a3 · outbound

This paper cites K., Talwalkar, A., & Smith, V.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments K., Talwalkar, A., & Smith, V

Reference 46

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unresolved
no resolver link, observed 2026-08-15T22:27:03.616214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:03.616214Z digest=sha256:10bb9ef7ec50dfffa64aef93acb6f4ced586aa4af825745682e8870a6b8ee19e

Observation 15aa8c63-03c6-4e06-8e0c-3ce9459432b8 · outbound

This paper cites ”In the Jungle of Federated Learning Frameworks” https://flower.ai/blog/2024-07-22-fl-frameworks-comparison/.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments ”In the Jungle of Federated Learning Frameworks” https://flower.ai/blog/2024-07-22-fl-frameworks-comparison/

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:27:04.248149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:03.619356Z digest=sha256:b40d0d1c14bd134649253907c4c78e1338ec5c35c8a547448a1d29aa12cb77ac

Observation ef7a5492-f811-4a08-9595-68f6b1c1d8cf · outbound

This paper cites Over-the-Air Membership Inference Attacks as Privacy Threats for Deep Learning-based Wireless Signal Classifiers.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments Over-the-Air Membership Inference Attacks as Privacy Threats for Deep Learning-based Wireless Signal Classifiers

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-15T22:27:03.769531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:03.622188Z digest=sha256:1581c59f93fd90c03a3b918be70883266524f94afba4fdc9277440888a175e63

Observation 302c6047-0913-4b3c-b6a7-c14f278199a9 · outbound

This paper cites https://en.wikipedia.org/wiki/Precision and recall.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments https://en.wikipedia.org/wiki/Precision and recall

Reference 49

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verified fuzzy
raw_fallback, observed 2026-08-15T22:27:04.238021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:03.625431Z digest=sha256:0e009a5d2352beaab4135b22c882df2a8ab80c847aa9d02223563e71d1b03d6d

Observation d350fd76-31c9-489e-9044-a376ce0914f6 · outbound

This paper cites https://en.wikipedia.org/wiki/F-score.

Securing Genomic Data Against Inference Attacks in Federated Learning Environments https://en.wikipedia.org/wiki/F-score

Reference 50

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verified fuzzy
raw_fallback, observed 2026-08-15T22:27:04.227767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:27:03.628537Z digest=sha256:902d7acbde59e5543c5d14d41bc8f41d21423a2314efb532aaaa9449bf2260e2

Pith citing papers

Observation 4307d4db-91af-47a0-ba4e-007973b9744c · inbound

Exposing Hidden Backdoors in NFT Smart Contracts: A Static Security Analysis of Rug Pull Patterns cites this paper.

Exposing Hidden Backdoors in NFT Smart Contracts: A Static Security Analysis of Rug Pull Patterns Securing Genomic Data Against Inference Attacks in Federated Learning Environments

Reference 56

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unresolved
no resolver link, observed 2026-08-07T05:25:42.458952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:42.458952Z digest=sha256:224bf42c92a09b20555fdbc907f8083680e6f9d0c5582a10b46a8bbe12d9a23b

Observation ca9e50f8-20b7-45b0-a50c-5db03be10b58 · inbound

Evaluating Differential Privacy Against Membership Inference in Federated Learning: Insights from the NIST Genomics Red Team Challenge cites this paper.

Evaluating Differential Privacy Against Membership Inference in Federated Learning: Insights from the NIST Genomics Red Team Challenge Securing Genomic Data Against Inference Attacks in Federated Learning Environments

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:00:58.150998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T16:22:32.081448Z digest=sha256:4c7fd8760a19ed0962629e6abe59fdb17e35f0a70dfd9f3b1b107cc7645eb6c5