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Paper Citation Record · LEDGER

Improving Utility and Security of the Shuffler-based Differential Privacy

As of 18 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 1 inbound Pith citation observation for arXiv:1908.11515.

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

pith.paper-citation-record.v1
1908.11515 v3

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:20:48.071920Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:23:59.902096Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T10:23:59.929698Z

Reference resolution

56 of 56 outbound references displayed

  • verified exact6
  • verified fuzzy43
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 14afb1ca-8863-4a77-a0c3-31fb517adf6b · outbound

This paper cites Apple differential privacy team, learning with privacy at scale,.

Improving Utility and Security of the Shuffler-based Differential Privacy Apple differential privacy team, learning with privacy at scale,

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.696235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:47.868589Z digest=sha256:62cee7d0de91b30134c1fe870a96576537323e1c7d3ebbb2eae9f45fe958ec2f

Observation 11d881e3-aa79-4a79-ba19-f584f7b1b7bf · outbound

This paper cites Frequent itemset mining dataset repository,.

Improving Utility and Security of the Shuffler-based Differential Privacy Frequent itemset mining dataset repository,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.684485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:47.873074Z digest=sha256:b5c997658f5c0fe52c5d597362176501d8076e2f1e745220ae4640c53897b7e9

Observation a3182353-e88e-42b0-a5aa-043544677cca · outbound

This paper cites Web search query log downloads,.

Improving Utility and Security of the Shuffler-based Differential Privacy Web search query log downloads,

Reference 3

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:47.877254Z digest=sha256:f4e9f00d3441f35ddb78501059fab1688f683d9910e16cfa91d28e29c5c69096

Observation 72eb802d-aee4-4e20-95d1-b6d67b27ce4c · outbound

This paper cites Protecting the confidentiality of america’s statistics: Adopting modern disclosure avoidance methods at the census bu- reau,.

Improving Utility and Security of the Shuffler-based Differential Privacy Protecting the confidentiality of america’s statistics: Adopting modern disclosure avoidance methods at the census bu- reau,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.663634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:47.881725Z digest=sha256:097ced5a478069d93e6d34208cf094c31cf0bd2efddaa5bac9df5aaae4b8b7d9

Observation 74e61772-c888-4490-a62c-fb4e498911ba · outbound

This paper cites Hadamard response: Estimating distributions privately, efficiently, and with little communication,.

Improving Utility and Security of the Shuffler-based Differential Privacy Hadamard response: Estimating distributions privately, efficiently, and with little communication,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.653339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:47.886196Z digest=sha256:5674eb302660942179e77c5bddf642a7a31f0e268582effab8136ed383b23c0d

Observation 87d0b3d7-e5d9-4a61-b9ef-666fe84a4989 · outbound

This paper cites An algorithmic framework for differentially private data analysis on trusted processors,.

Improving Utility and Security of the Shuffler-based Differential Privacy An algorithmic framework for differentially private data analysis on trusted processors,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.643717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:47.889627Z digest=sha256:3939c3f3897961c6bae27359c5ed00957b06690b345d48b601e1b39c250606f4

Observation fb7558b0-4756-4d5c-9176-603b71e9f9c3 · outbound

This paper cites Geo-indistinguishability: Differential privacy for location-based sys- tems,.

Improving Utility and Security of the Shuffler-based Differential Privacy Geo-indistinguishability: Differential privacy for location-based sys- tems,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.633353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:47.892595Z digest=sha256:3d5a987cfbde5e4897d1d44226abe4e23ad5e42e442d3c00291b4b5eaaf92eca

Observation d31eb022-d46c-4ef5-acdf-18cd388785bd · outbound

This paper cites Free Fourier Multipliers associated with the firstSegment.

Improving Utility and Security of the Shuffler-based Differential Privacy Free Fourier Multipliers associated with the firstSegment

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-08-14T10:20:48.238625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:47.896083Z digest=sha256:219c5291c03385b78f2611b0fe132afdb47e7dde03212e08403b2794f6738b74

Observation b47728f0-9b28-4384-abe3-03f7b8557351 · outbound

This paper cites The privacy blanket of the shuffle model,.

Improving Utility and Security of the Shuffler-based Differential Privacy The privacy blanket of the shuffle model,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.623580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:47.899705Z digest=sha256:ea5b84c84d614a0c4791fb94c04978b900e6ed8eb8939f9fbf52f43516f595d8

Observation 65e0ee7f-b4a9-4c76-99c2-c45849f76dee · outbound

This paper cites Private Summation in the Multi-Message Shuffle Model.

Improving Utility and Security of the Shuffler-based Differential Privacy Private Summation in the Multi-Message Shuffle Model

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-14T10:20:48.224773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:47.903088Z digest=sha256:2ca44baeb1d2d182230bba8a5b18a8ed2aa6aebd0ca2278e17600fc68ba996e3

Observation 12e21d8c-d518-417a-bb72-0dff03e43a16 · outbound

This paper cites Practical Locally Private Heavy Hitters.

Improving Utility and Security of the Shuffler-based Differential Privacy Practical Locally Private Heavy Hitters

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-14T10:20:47.907190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:20:47.907190Z digest=sha256:c98008a36d8a769518a7a473fa3e092cb641b83e4beb7e91d7334ca9d81cd857

Observation 8b38dc4b-a417-4c06-9ed8-8fa49a2db9be · outbound

This paper cites Practical locally private heavy hitters,.

Improving Utility and Security of the Shuffler-based Differential Privacy Practical locally private heavy hitters,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.613308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:47.911036Z digest=sha256:5c829e0895d873ddef6922f2b824cde7b3f131754f79f88eb5fffb718f13cde4

Observation 2295b80e-281c-4885-b3db-b0883bc9b013 · outbound

This paper cites Local, private, efficient protocols for succinct histograms,.

Improving Utility and Security of the Shuffler-based Differential Privacy Local, private, efficient protocols for succinct histograms,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.603431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:47.914233Z digest=sha256:1bb9c171f9338aca893d095e46f7c517b85481d4951dd82c8e33cb87bdd7e0b0

Observation d57e7037-686f-4d25-9486-c6f95f564164 · outbound

This paper cites Local, private, efficient protocols for succinct histograms,.

Improving Utility and Security of the Shuffler-based Differential Privacy Local, private, efficient protocols for succinct histograms,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.594018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:47.918277Z digest=sha256:84961bb9f2d1872fe277d5ba26c9ce95e90f74cd62184109a8302f253a2027e4

Observation bb76b8e0-5af3-4e9e-abec-434cc6507538 · outbound

This paper cites Protection Against Reconstruction and Its Applications in Private Federated Learning.

Improving Utility and Security of the Shuffler-based Differential Privacy Protection Against Reconstruction and Its Applications in Private Federated Learning

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-14T10:20:47.922223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:20:47.922223Z digest=sha256:d574eb78a9ffc4d689fabd037387a654843d9d5a8584e89eb949f17d0690ceea

Observation a8268309-76ba-4023-9f4d-2918a7e23811 · outbound

This paper cites The guard’s dilemma: Efficient code-reuse attacks against intel sgx,.

Improving Utility and Security of the Shuffler-based Differential Privacy The guard’s dilemma: Efficient code-reuse attacks against intel sgx,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.584197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:47.925815Z digest=sha256:783e5c518fcd022e96661824315f2d544e96b1047f75c99c3e1ea1497aa221c4

Observation c88c0c87-3c73-487b-b5a3-47e5e6b02dd7 · outbound

This paper cites Prochlo: Strong privacy for analytics in the crowd,.

Improving Utility and Security of the Shuffler-based Differential Privacy Prochlo: Strong privacy for analytics in the crowd,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.574378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:47.930025Z digest=sha256:137801ab3103c0fba725ab3ef26cfe835f02b620d694a68f30827a06ce910832

Observation 4af9652c-f0e7-474a-a5bf-aa026a205bc8 · outbound

This paper cites Sharemind: A framework for fast privacy-preserving computations,.

Improving Utility and Security of the Shuffler-based Differential Privacy Sharemind: A framework for fast privacy-preserving computations,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.564609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:47.933224Z digest=sha256:a151735694069ca251bb954d97d6a4611287895b725983c4c34485f262c3b0b3

Observation 9f7c058e-4bc6-41af-a3a6-d950e8fa97ea · outbound

This paper cites Securely sampling biased coins with applications to differential privacy,.

Improving Utility and Security of the Shuffler-based Differential Privacy Securely sampling biased coins with applications to differential privacy,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.553386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:47.936102Z digest=sha256:70d652391b8648bd21083c2ff0f8f225c8fdccb5ce915fa886aed6c01c989d8c

Observation b8bef430-30b3-44a7-9f7b-251d6508a0d6 · outbound

This paper cites Foundations of differentially oblivious algorithms,.

Improving Utility and Security of the Shuffler-based Differential Privacy Foundations of differentially oblivious algorithms,

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.543932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:47.939893Z digest=sha256:172d197fbcd3da0e399647e84b14f21f96e8aa957a573536c7151ebea823adc7

Observation 1694a932-dc3f-4f52-9ec9-88b08075e5bb · outbound

This paper cites Dis- tributed differential privacy via shuffling,.

Improving Utility and Security of the Shuffler-based Differential Privacy Dis- tributed differential privacy via shuffling,

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.533246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:47.943862Z digest=sha256:557773884a145bfbd9d56fb411fdf2784f28e5ba54e132cf81130ff1675bf58b

Observation c1c66362-8d7d-41b3-a6c0-23be79edae2d · outbound

This paper cites Cryptϵ: Crypto-assisted differential privacy on untrusted servers,.

Improving Utility and Security of the Shuffler-based Differential Privacy Cryptϵ: Crypto-assisted differential privacy on untrusted servers,

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.522624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ebac4158-9c39-4a01-aadf-7c57d6266477 · outbound

This paper cites Efficient and secure com- parison for on-line auctions,.

Improving Utility and Security of the Shuffler-based Differential Privacy Efficient and secure com- parison for on-line auctions,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.512722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:47.950200Z digest=sha256:9c0bdc618f6a76baf57462e7599b24e54f142007edee373f8d9bcf29499c0ba2

Observation b5c2cd67-cf63-4f7d-9373-079223ba5ae4 · outbound

This paper cites Homomorphic encryption and secure comparison,.

Improving Utility and Security of the Shuffler-based Differential Privacy Homomorphic encryption and secure comparison,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.502606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:47.953629Z digest=sha256:3621186c0af23be2dfec4da59ef48654c82af846c039d33d6e9acf1080cda97e

Observation 96e10ffd-230e-4cea-97c3-32a0c87a43f5 · outbound

This paper cites Collecting telemetry data privately,.

Improving Utility and Security of the Shuffler-based Differential Privacy Collecting telemetry data privately,

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.492899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:47.956575Z digest=sha256:098de259ca56d51fab163d99c6bc30817d61a90d7342b2d1dd3258f0c667166b

Observation da401e91-2777-417a-8d26-17a9ef36f93f · outbound

This paper cites One-sided Differential Privacy.

Improving Utility and Security of the Shuffler-based Differential Privacy One-sided Differential Privacy

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-14T10:20:48.191396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:47.959891Z digest=sha256:442806d71bdcbbb174371fba4af91920ad57abac85d1808d5e5f29c8a436ca8c

Observation 6195be33-ad1f-4d04-8723-896c39fcea1d · outbound

This paper cites Local privacy and statistical minimax rates,.

Improving Utility and Security of the Shuffler-based Differential Privacy Local privacy and statistical minimax rates,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.482816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:47.963901Z digest=sha256:e149239dcb7fd0f803dfb4622f6af4b1602fd63025960d9e75f55be5a1dc38bd

Observation 6fbde7e0-588b-49b1-a245-8d86e80260af · outbound

This paper cites Differential privacy,.

Improving Utility and Security of the Shuffler-based Differential Privacy Differential privacy,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.473231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:47.968499Z digest=sha256:0b51c88db904a46d73d77a2f03c8882406e11341789446c5845313cc36766fe1

Observation ac45708d-fa88-4626-b94d-d532936dd15c · outbound

This paper cites Our data, ourselves: Privacy via distributed noise generation,.

Improving Utility and Security of the Shuffler-based Differential Privacy Our data, ourselves: Privacy via distributed noise generation,

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.464243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:47.971748Z digest=sha256:27132502a894d9e7c6cfe4d1020a6800d3032140094e34b182bcc52e0e6c3a19

Observation 3621b2ed-aaf7-420a-85dc-03061bef390c · outbound

This paper cites Privex: Private collection of traffic statistics for anonymous communication networks,.

Improving Utility and Security of the Shuffler-based Differential Privacy Privex: Private collection of traffic statistics for anonymous communication networks,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.453368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:47.975315Z digest=sha256:857402a9a21d4b8427638c71ac77d6bad8001301df44a523361b7c5c8d653ecf

Observation af805d18-10ff-49cc-90bf-f76f224c55e8 · outbound

This paper cites Encode, Shuffle, Analyze Privacy Revisited: Formalizations and Empirical Evaluation.

Improving Utility and Security of the Shuffler-based Differential Privacy Encode, Shuffle, Analyze Privacy Revisited: Formalizations and Empirical Evaluation

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-14T10:20:47.979138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:20:47.979138Z digest=sha256:d63441534ffe69e490a1e451057c3f581a5ae664a96f6edceaf937e27306f0bc

Observation 85159e9d-cb79-457c-a54d-a8a162012ed9 · outbound

This paper cites Amplification by shuffling: From local to central differential privacy via anonymity,.

Improving Utility and Security of the Shuffler-based Differential Privacy Amplification by shuffling: From local to central differential privacy via anonymity,

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.443766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:47.983195Z digest=sha256:61754d887c704fbfc68771afc52a8d6b2af833447d04104017f4711a844c0f98

Observation 50f5da64-3f21-452e-a67b-b5f11aba9da4 · outbound

This paper cites Rappor: Randomized ag- gregatable privacy-preserving ordinal response,.

Improving Utility and Security of the Shuffler-based Differential Privacy Rappor: Randomized ag- gregatable privacy-preserving ordinal response,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.432321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:47.986469Z digest=sha256:cc3a0563f35f721cfe49d64cfb221260407f08ea5a997c70b16d6407b411ee51

Observation d89e15c9-0928-4b7b-90fb-0de0a1db6b60 · outbound

This paper cites Unlynx: a decentralized system for privacy- conscious data sharing,.

Improving Utility and Security of the Shuffler-based Differential Privacy Unlynx: a decentralized system for privacy- conscious data sharing,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.422891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:47.989489Z digest=sha256:be72d85b36fdc37a8e24f813fbf6204e3ac2e5c1442e2d303a6e56bdc7759f62

Observation 26e1e0d3-ce23-4c45-9195-05df112ade7e · outbound

This paper cites On the Power of Multiple Anonymous Messages.

Improving Utility and Security of the Shuffler-based Differential Privacy On the Power of Multiple Anonymous Messages

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-14T10:20:48.168519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:47.992595Z digest=sha256:40e5e1bb9faa80bb4870f30c41778b6176f555fe1537f89894f352bc50a1de4c

Observation 507f8080-78b7-43a1-9a11-01f590bfe49d · outbound

This paper cites Private Aggregation from Fewer Anonymous Messages.

Improving Utility and Security of the Shuffler-based Differential Privacy Private Aggregation from Fewer Anonymous Messages

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-14T10:20:48.154230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:47.996265Z digest=sha256:1e4c4ea2ed0ca5880ec47664ba7879d61428ff9ce8859c9cee06bb96bac7998b

Observation 4b4f3689-1199-43b1-a8a4-9aa34865afa2 · outbound

This paper cites Scalable and Differentially Private Distributed Aggregation in the Shuffled Model.

Improving Utility and Security of the Shuffler-based Differential Privacy Scalable and Differentially Private Distributed Aggregation in the Shuffled Model

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-14T10:20:48.140166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:48.000223Z digest=sha256:f29cdf231f4b8255f2687b303762088d7b1918807f84b686e5b00672d6a00d26

Observation 1016114f-62a0-496f-a045-e7195271d3f3 · outbound

This paper cites Supporting both range queries and frequency estimation with local differential privacy,.

Improving Utility and Security of the Shuffler-based Differential Privacy Supporting both range queries and frequency estimation with local differential privacy,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.411858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:48.004185Z digest=sha256:de6b65e90d0f785f04f94005931b3d32f5c8029ec6634fd1c266948618428ba5

Observation 484641d6-4ec3-41ef-9cae-f62c03a85da2 · outbound

This paper cites Providing input-discriminative protection for local differential privacy,.

Improving Utility and Security of the Shuffler-based Differential Privacy Providing input-discriminative protection for local differential privacy,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.401040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:48.007570Z digest=sha256:af97b973077305536f0e817503a1f4e9098de4109e43a5dbe6c46e1b5af3c9db

Observation 52ef9497-6bfd-4a7a-be84-7df9dd5fc517 · outbound

This paper cites Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy.

Improving Utility and Security of the Shuffler-based Differential Privacy Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-14T10:20:48.123445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:48.011071Z digest=sha256:7f829de9fa0c77b754c443e8924482278c0ef5c62736c582e6231414af8dbf3b

Observation b835fede-f02b-4b3f-8709-cfe558d9590c · outbound

This paper cites Composing differential privacy and secure computation: A case study on scaling private record linkage,.

Improving Utility and Security of the Shuffler-based Differential Privacy Composing differential privacy and secure computation: A case study on scaling private record linkage,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.390887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:48.015909Z digest=sha256:edb6382c29326b60ce36671284b52151557963215912e521daf507a8728c75c4

Observation 7a394595-0cfe-4829-a213-84c1aa8913e4 · outbound

This paper cites Round-efficient oblivious database manipulation,.

Improving Utility and Security of the Shuffler-based Differential Privacy Round-efficient oblivious database manipulation,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.379494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:48.019603Z digest=sha256:d7bd17679a04679b65e967e5bbb56acc37455f86c6f54d60bf8ed0f509d3794f

Observation c6b543d4-eb34-4c90-8a69-130ef8a1ac63 · outbound

This paper cites The limits of two-party differential privacy,.

Improving Utility and Security of the Shuffler-based Differential Privacy The limits of two-party differential privacy,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.370157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:48.023135Z digest=sha256:29dd5a6c14734d659a2f169d86e43b329a7f06c941ad4c954080d5c8e7ec9a28

Observation 57d0483a-56d6-4cd7-af6c-33b531c5ad55 · outbound

This paper cites Federated learning: Collaborative ma- chine learning without centralized training data,.

Improving Utility and Security of the Shuffler-based Differential Privacy Federated learning: Collaborative ma- chine learning without centralized training data,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.360873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:48.027157Z digest=sha256:0863ea102ff03880d85b3f47b9a849f67d146656f2a9d7edb2f51a1acf6cc451

Observation c006fbbd-59cc-40c5-bd60-8ce673db3461 · outbound

This paper cites Efficient Private Statistics with Succinct Sketches.

Improving Utility and Security of the Shuffler-based Differential Privacy Efficient Private Statistics with Succinct Sketches

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-14T10:20:48.030239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:20:48.030239Z digest=sha256:1ea8af0f91c59c674806d74cea280ddb2a58466eff45ce91868e9f2d60e989ed

Observation 5f957417-66c8-4ce4-9c0e-268fb61135c3 · outbound

This paper cites Computational differential privacy,.

Improving Utility and Security of the Shuffler-based Differential Privacy Computational differential privacy,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-14T10:20:48.033887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:20:48.033887Z digest=sha256:b13ede09896cfc71fc7d361e3a538b65ed28e9feebe74fd9fadea20110f6945b

Observation 2039d591-9e08-46e0-8882-7459d2fdc530 · outbound

This paper cites Utility-optimized local differential pri- vacy mechanisms for distribution estimation,.

Improving Utility and Security of the Shuffler-based Differential Privacy Utility-optimized local differential pri- vacy mechanisms for distribution estimation,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.345496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:48.037583Z digest=sha256:0b0f07b900d769937a2d3db872659261eedc82f1db4d731afddff5b4f578aac7

Observation 52b5e98f-7515-4aa2-9bf9-f2a1e245c8a1 · outbound

This paper cites Public-key cryptosystems based on composite degree residuosity classes,.

Improving Utility and Security of the Shuffler-based Differential Privacy Public-key cryptosystems based on composite degree residuosity classes,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-14T10:20:48.041053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:20:48.041053Z digest=sha256:605d987ebaac57512b50a6c6b94f5778e7334b2798dadfa396d3a5bba28946d4

Observation 6e864a47-6323-45ae-97ab-3836845c0d61 · outbound

This paper cites An improved algorithm for computing logarithms overgf(p)and its cryptographic significance (corresp.),.

Improving Utility and Security of the Shuffler-based Differential Privacy An improved algorithm for computing logarithms overgf(p)and its cryptographic significance (corresp.),

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.328179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:48.044319Z digest=sha256:2b880c1dafdb8b748284b47f05e8e3ef55cec97f47ea58c4abb3a9c7de3fd43d

Observation 1dc611ba-6747-4646-bef1-d8666199f34d · outbound

This paper cites Hybrid private record linkage: Separating differentially private synopses from matching records,.

Improving Utility and Security of the Shuffler-based Differential Privacy Hybrid private record linkage: Separating differentially private synopses from matching records,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.314569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:48.048272Z digest=sha256:8baa5fb9d815acee78dc3f4b33494f6240d8b3325c1383b1d83393fd5b9b8632

Observation 14d83581-df55-479d-9c64-4c69a2f4b248 · outbound

This paper cites Honeycrisp: large-scale differentially private aggregation without a trusted core,.

Improving Utility and Security of the Shuffler-based Differential Privacy Honeycrisp: large-scale differentially private aggregation without a trusted core,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.302374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:48.052161Z digest=sha256:689e897da5786663c5e2358c731af3d7c5b9165f677d9cdd16a86dd274ede909

Observation 3a660820-3332-4dc6-b1ef-138067e5a5c7 · outbound

This paper cites Integrated public use microdata series: Version 9.0 [database],.

Improving Utility and Security of the Shuffler-based Differential Privacy Integrated public use microdata series: Version 9.0 [database],

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.291234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:48.055889Z digest=sha256:265140994ed969a2cfe945f9f72a98c1fcac8367edadf6a1d1dfe4ca8ded4998

Observation 995cc514-203b-4683-911c-e6fc7ba295a6 · outbound

This paper cites Local private ordinal data distribution estimation,.

Improving Utility and Security of the Shuffler-based Differential Privacy Local private ordinal data distribution estimation,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.280775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:48.059525Z digest=sha256:e8890e1034af1123e09d4be6f114c4f9684a229cc092491e0ade71972c78b54d

Observation dde6a51e-be08-42b1-9259-c1c0f1441a20 · outbound

This paper cites Locally differentially private pro- tocols for frequency estimation,.

Improving Utility and Security of the Shuffler-based Differential Privacy Locally differentially private pro- tocols for frequency estimation,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.271070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:48.063368Z digest=sha256:d354501b4c0c32f235f4d034215861f45486208527ef1fc937516a74c70ef292

Observation 653788a5-d23b-48aa-9914-857ff809d53a · outbound

This paper cites Answering multi-dimensional analytical queries under local differential privacy,.

Improving Utility and Security of the Shuffler-based Differential Privacy Answering multi-dimensional analytical queries under local differential privacy,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.260603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:48.068226Z digest=sha256:0c21edbed159616aa20b60dcad73d6ca197284a414824076916141b038a7ecf9

Observation 477ec399-c594-4d97-b312-d83c29a24547 · outbound

This paper cites Randomized response: A survey technique for eliminat- ing evasive answer bias,.

Improving Utility and Security of the Shuffler-based Differential Privacy Randomized response: A survey technique for eliminat- ing evasive answer bias,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:20:48.249871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:20:48.071920Z digest=sha256:9f762c7ca60fb54eb7b645ad1e8c5ed65b5360cb0ce93f5316e64c764fa590ea

Pith citing papers

Observation 4fe8fa90-5755-433c-8512-b5daeb3a2630 · inbound

On the Power of Multiple Anonymous Messages cites this paper.

On the Power of Multiple Anonymous Messages Improving Utility and Security of the Shuffler-based Differential Privacy

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-14T10:23:59.935802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:23:59.902096Z digest=sha256:88792ecfc3c9f167f02cfdc3b2c0257a0a7be7c1eb6c6e9e3f16aaa5a6c6e578