Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data | Paper Citation Record

Observation 85a0eb8d-f0ad-41d8-aca7-b237a73865dc · outbound

This paper cites Dwork and A.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Dwork and A

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:52.714762Z

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Observation 233c9cfc-7fa9-49f1-8465-02312ec99f2d · outbound

This paper cites RAPPOR: Randomized aggregatable privacy-preserving ordinal response,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data RAPPOR: Randomized aggregatable privacy-preserving ordinal response,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:52.400156Z

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.

Observation 5058d346-a5e9-42d2-bbbe-4404af5ebcf6 · outbound

This paper cites Collecting telemetry data privately,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Collecting telemetry data privately,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:52.078225Z

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.

Observation 7642169a-eeb7-41cd-9e5c-b53ff69f8bdf · outbound

This paper cites an unresolved cited work.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-05T12:08:51.829708Z

Source-reported events for the cited work

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Observation 6ff470cb-694f-48f9-9ce6-0fe8014187fd · outbound

This paper cites Differential privacy for government agencies—are we there yet?.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Differential privacy for government agencies—are we there yet?

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:51.554678Z

Source-reported events for the cited work

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Observation dd6a20d3-2659-44f5-8bfd-61853101d273 · outbound

This paper cites 95% of data breaches tied to human error in 2024,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data 95% of data breaches tied to human error in 2024,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:51.285004Z

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.

Observation 2da0a0f2-b9f3-4001-8140-b5d6379c5e6e · outbound

This paper cites What can we learn privately?.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data What can we learn privately?

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:50.982127Z

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.

Observation 551d12ff-d657-4d27-b883-7e702ff3e6a6 · outbound

This paper cites Locally differentially private frequency estimation with consistency,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Locally differentially private frequency estimation with consistency,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:50.638881Z

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.

Observation 18a84bf0-4e6d-4053-9ed8-6d49be1cab15 · outbound

This paper cites Revisiting EM-based esti- mation for locally differentially private protocols,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Revisiting EM-based esti- mation for locally differentially private protocols,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:50.300545Z

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.

Observation fc637150-806a-47f5-80ec-8a7c5ddf4d1c · outbound

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

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data PROCHLO: Strong privacy for analytics in the crowd,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:49.991709Z

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.

Observation f8ba58d7-4028-45c0-a37c-8b151d9d6d43 · outbound

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

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Amplification by shuffling: from local to central differential privacy via anonymity,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:49.701982Z

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.

Observation ae76de81-94d1-465f-8b09-4d1fc1b71e8c · outbound

This paper cites Distributed differential privacy via shuffling,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Distributed differential privacy via shuffling,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:49.477829Z

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.

Observation 3b47b7fb-de14-4ad5-8602-713dd095913c · outbound

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

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data The privacy blanket of the shuffle model,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:49.219216Z

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.

Observation eaf480f8-3605-4227-8924-5705ff97101e · outbound

This paper cites On the r ´enyi differential privacy of the shuffle model,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data On the r ´enyi differential privacy of the shuffle model,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:48.964939Z

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.

Observation 5ad5f758-967d-4253-a2a9-78fe5ab32bbf · outbound

This paper cites Hiding among the clones: A simple and nearly optimal analysis of privacy amplification by shuffling,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Hiding among the clones: A simple and nearly optimal analysis of privacy amplification by shuffling,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:48.725200Z

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.

Observation efb58345-5802-40c9-aed0-f3eeb3ce321f · outbound

This paper cites Stronger privacy amplification by shuffling for r ´enyi and approx- imate differential privacy,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Stronger privacy amplification by shuffling for r ´enyi and approx- imate differential privacy,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:48.416597Z

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.

Observation 034b3619-d01f-4c4f-bd57-314c370f898b · outbound

This paper cites Improving utility and security of the shuffler-based differential privacy,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Improving utility and security of the shuffler-based differential privacy,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:48.166543Z

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.

Observation 28c2848b-f07c-456e-98b0-86a46932d310 · outbound

This paper cites Augmented shuffle protocols for accurate and robust frequency estimation under differential privacy,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Augmented shuffle protocols for accurate and robust frequency estimation under differential privacy,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:47.884449Z

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.

Observation f5791401-3f57-4491-80b4-363d5bdfe703 · outbound

This paper cites Data poisoning attacks to local differential privacy protocols,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Data poisoning attacks to local differential privacy protocols,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:47.665437Z

Source-reported events for the cited work

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Observation 9da799e3-cb98-4dab-a659-d33bedeae569 · outbound

This paper cites Poisoning attacks to local differential privacy protocols for key-value data,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Poisoning attacks to local differential privacy protocols for key-value data,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:47.380124Z

Source-reported events for the cited work

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Observation ba0ad3be-ba20-4f0e-ab88-0dadaa37b1db · outbound

This paper cites PrivKV: Key-value data collection with local differential privacy,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data PrivKV: Key-value data collection with local differential privacy,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:47.079076Z

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.

Observation 33ddc81a-06c1-4abc-980a-43e32ce997d8 · outbound

This paper cites PrivKVM*: Revisiting key-value statistics estimation with local differential privacy,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data PrivKVM*: Revisiting key-value statistics estimation with local differential privacy,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:46.823361Z

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.

Observation b1f9bfb8-5656-44fd-9ae1-1e4cab93cddc · outbound

This paper cites PCKV: Locally differentially private correlated key-value data collection with optimized utility,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data PCKV: Locally differentially private correlated key-value data collection with optimized utility,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:46.591104Z

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.

Observation c965e5ae-a89e-4ba8-bb4d-340fcfc6664a · outbound

This paper cites Differentially private triangle and 4-cycle counting in the shuffle model,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Differentially private triangle and 4-cycle counting in the shuffle model,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:46.432759Z

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.

Observation ae0425e7-7095-4330-a249-144a33a71571 · outbound

This paper cites Schneier, Applied Cryptography: Protocols, Algorithms and Source Code in C.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Schneier, Applied Cryptography: Protocols, Algorithms and Source Code in C

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:46.167571Z

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.

Observation 9535a267-cb37-498a-ba29-882f59852321 · outbound

This paper cites Computational differential privacy,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Computational differential privacy,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:45.924185Z

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.

Observation 72c943de-8800-41e4-af1b-5e78ff0177ea · outbound

This paper cites Efficient noise generation protocols for differentially private multiparty computation,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Efficient noise generation protocols for differentially private multiparty computation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:45.709884Z

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.

Observation fdb5e036-7bd4-4851-923f-354bead54942 · outbound

This paper cites Provable security for the onion routing and mix network packet format sphinx,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Provable security for the onion routing and mix network packet format sphinx,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:45.492987Z

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.

Observation 0ad561b4-c3c6-498c-8550-de11578952c7 · outbound

This paper cites On the k-independence required by linear probing and minwise independence,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data On the k-independence required by linear probing and minwise independence,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:45.311785Z

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.

Observation acf5d694-d701-4ba5-a983-3848619ba31c · outbound

This paper cites Amazon statistics: Key numbers and fun facts,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Amazon statistics: Key numbers and fun facts,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:45.080267Z

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.

Observation a6ab8b94-0075-4f07-8d90-92892aced99d · outbound

This paper cites Amazon - ratings (beauty products),.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Amazon - ratings (beauty products),

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:44.825892Z

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.

Observation 0ca1b648-f0e6-49f2-81e9-6775cd1c7d3a · outbound

This paper cites an unresolved cited work.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Unresolved cited work

Reference 32

Resolution: verified exact; doi, observed 2026-08-05T12:08:34.299074Z

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.

Observation 8caec967-232f-4660-bc62-841157eba9b5 · outbound

This paper cites Frequency estimation in the shuffle model with almost a single message,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Frequency estimation in the shuffle model with almost a single message,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:44.495073Z

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.

Observation 25e09f40-99cd-42f8-8eb0-09ad62727d89 · outbound

This paper cites Separating local & shuffled differential privacy via histograms,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Separating local & shuffled differential privacy via histograms,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:44.250856Z

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.

Observation 8841b73c-c0bb-4f1f-8c02-4c974689e57e · outbound

This paper cites Differentially private histograms in the shuffle model from fake users,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Differentially private histograms in the shuffle model from fake users,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:43.932699Z

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.

Observation 1f58081b-8ec0-434f-9b90-059a523f27c1 · outbound

This paper cites On the round complexity of the shuffle model,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data On the round complexity of the shuffle model,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:43.618601Z

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.

Observation 8243a432-9b99-4968-bd3c-c253b72e3aef · outbound

This paper cites R ´enyi differential privacy of the subsampled shuffle model in distributed learning,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data R ´enyi differential privacy of the subsampled shuffle model in distributed learning,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:43.282861Z

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.

Observation 3bb1f5db-5af3-4e84-bbf7-21b6be09f6da · outbound

This paper cites Manipulation attacks in local differential privacy,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Manipulation attacks in local differential privacy,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:43.020327Z

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.

Observation d73ce377-79e2-454f-bb31-792201ce793d · outbound

This paper cites Fine-grained poisoning attack to local differential privacy protocols for mean and variance estimation,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Fine-grained poisoning attack to local differential privacy protocols for mean and variance estimation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:42.722882Z

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.

Observation 7f9410b3-8643-46a6-9b4b-2f40cab3fd67 · outbound

This paper cites Data poisoning attacks to locally differentially private frequent itemset mining protocols,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Data poisoning attacks to locally differentially private frequent itemset mining protocols,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:42.478421Z

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.

Observation cac01839-437b-40f4-80d5-4d94f0f4ad1f · outbound

This paper cites LDPGuard: Defenses against data poisoning attacks to local differential privacy protocols,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data LDPGuard: Defenses against data poisoning attacks to local differential privacy protocols,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:42.252586Z

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.

Observation 40671691-265a-4404-86c8-d21798283541 · outbound

This paper cites Efficient defenses against output poisoning attacks on local differential privacy,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Efficient defenses against output poisoning attacks on local differential privacy,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:42.029430Z

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.

Observation 29831289-3e93-4204-a579-84ef7cefcf2d · outbound

This paper cites Preventing manipulation attack in local differential privacy using verifiable randomization mechanism,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Preventing manipulation attack in local differential privacy using verifiable randomization mechanism,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:41.777275Z

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.

Observation bd23db52-378b-49ac-a3ef-9866822e1664 · outbound

This paper cites Local differential privacy protocol for making key–value data robust against poisoning attacks,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Local differential privacy protocol for making key–value data robust against poisoning attacks,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:41.488000Z

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.

Observation 9e4d19db-3305-4bbf-a60d-948f4b26d0d0 · outbound

This paper cites LDPRecover: Recovering frequencies from poisoning attacks against local differential privacy,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data LDPRecover: Recovering frequencies from poisoning attacks against local differential privacy,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:41.197803Z

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.

Observation fb93adf1-2c58-43f9-ac2b-7b8842badf11 · outbound

This paper cites Chosen-ciphertext security of multiple encryp- tion,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Chosen-ciphertext security of multiple encryp- tion,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:40.978299Z

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.

Observation 2058eac3-fa66-4c87-a413-73dd781f29b3 · outbound

This paper cites The security of multiple encryption in the ideal cipher model,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data The security of multiple encryption in the ideal cipher model,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:40.780773Z

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.

Observation f7dba36b-0c76-4a80-9bd3-67417d168e3e · outbound

This paper cites An efficient publicly verifiable mix-net for long inputs,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data An efficient publicly verifiable mix-net for long inputs,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:40.553697Z

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.

Observation 437233d8-e35d-4d5f-99bd-b4fa814523ef · outbound

This paper cites Adams and A.-K.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Adams and A.-K

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:40.331536Z

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.

Observation ae999675-b73d-4b06-8936-bccbfca3f6e8 · outbound

This paper cites Distributed, private, sparse histograms in the two- server model,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Distributed, private, sparse histograms in the two- server model,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:40.077715Z

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.

Observation f173659a-8868-4011-8167-942db1b6f80f · outbound

This paper cites Locally differentially private protocols for frequency estimation,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Locally differentially private protocols for frequency estimation,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:39.861717Z

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.

Observation cf959de3-0eae-47eb-9ba9-d6e32f735ed3 · outbound

This paper cites an unresolved cited work.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-05T12:08:39.571093Z

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.

Observation fd11cf35-34d9-414b-a5bc-07958a76a8d3 · outbound

This paper cites Local privacy and statistical minimax rates,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Local privacy and statistical minimax rates,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:39.303711Z

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.

Observation bf52568a-7aef-44b1-8bc0-784041f69725 · outbound

This paper cites Discrete distribution estima- tion under local privacy,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Discrete distribution estima- tion under local privacy,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:38.995359Z

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.

Observation 6e1188c2-002b-43e5-8cb5-c113f49e2a24 · outbound

This paper cites A rigorous and customizable frame- work for privacy,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data A rigorous and customizable frame- work for privacy,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:38.726736Z

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.

Observation 86efaf9e-ce34-4536-a175-12d9ef35c6a6 · outbound

This paper cites Trafficking fraudulent accounts: The role of the underground market in twitter spam and abuse,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Trafficking fraudulent accounts: The role of the underground market in twitter spam and abuse,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:38.458076Z

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.

Observation 807d5890-b32e-4d42-bcab-99a16bc9538e · outbound

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

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data An algorithmic framework for differentially private data analysis on trusted processors,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:38.228096Z

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.

Observation 7c39f827-a4f5-4873-8ab4-58e5712ce67c · outbound

This paper cites Camel: Communication-efficient and maliciously secure federated learning in the shuffle model of differential privacy,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Camel: Communication-efficient and maliciously secure federated learning in the shuffle model of differential privacy,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:38.076937Z

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.

Observation e0bacc95-741a-4631-afd8-220504dbfc69 · outbound

This paper cites Distributed private data analysis: Simultaneously solving how and what,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Distributed private data analysis: Simultaneously solving how and what,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:37.922216Z

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.

Observation 3389530b-d362-429c-acde-f224b9fa2dc6 · outbound

This paper cites Heavy hitter estimation over set-valued data with local differential privacy,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Heavy hitter estimation over set-valued data with local differential privacy,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:37.646198Z

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.

Observation bd475c8a-19a6-4266-b0af-dc7a65ad286d · outbound

This paper cites Bouncy castle – open-source cryptographic APIs,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Bouncy castle – open-source cryptographic APIs,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:37.465890Z

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.

Observation c52545b9-35dd-4cd6-a1cb-aea720692b2e · outbound

This paper cites Mining interesting locations and travel sequences from GPS trajectories,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Mining interesting locations and travel sequences from GPS trajectories,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:37.247600Z

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.

Observation 72356014-ad01-416a-b939-943d38f8274e · outbound

This paper cites Participatory cultural mapping based on collective behavior data in location based social network,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Participatory cultural mapping based on collective behavior data in location based social network,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:36.972870Z

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.

Observation 4753f10c-02aa-45f7-aa18-fd1a829f63a1 · outbound

This paper cites A picture of search,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data A picture of search,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:36.715280Z

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.

Observation 4df6a24e-f6b4-4bda-889d-69b590d9328b · outbound

This paper cites Women’s e-commerce clothing reviews,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Women’s e-commerce clothing reviews,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:36.539829Z

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.

Observation f03adf14-a9ba-40b8-bdfc-075b4aaa4b7d · outbound

This paper cites Key-value data collec- tion and statistical analysis with local differential privacy,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Key-value data collec- tion and statistical analysis with local differential privacy,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:36.401530Z

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.

Observation 087493a5-3b6b-46f4-9246-de73df71e24a · outbound

This paper cites Poisoning attacks to local differential privacy for ranking estimation,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Poisoning attacks to local differential privacy for ranking estimation,

Reference 67

Resolution: verified exact; raw_fallback, observed 2026-08-05T12:08:34.816758Z

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.

Observation 1c169005-1c0f-47ce-8e47-2ebb04907dc9 · outbound

This paper cites Data Poisoning Attacks to Locally Differentially Private Range Query Protocols.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Data Poisoning Attacks to Locally Differentially Private Range Query Protocols

Reference 68

Resolution: verified exact; local_arxiv, observed 2026-08-05T12:08:34.525091Z

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.

Observation 56311eaf-b16d-46ee-b3c8-b8d291ec463e · outbound

This paper cites The composition theorem for differential privacy,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data The composition theorem for differential privacy,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:36.223446Z

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.

Observation 40b3bb87-7b3c-46c6-bf53-fc6b2e034732 · outbound

This paper cites Universally utility- maximizing privacy mechanisms,.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Universally utility- maximizing privacy mechanisms,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:35.993475Z

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.

Observation 8e5bf7ea-9ee9-48a0-bb18-317c533c28d6 · outbound

This paper cites Katz and Y.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Katz and Y

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:35.774151Z

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.

Observation 8e340ef7-8b0e-421e-913a-b8b04a0d54d7 · outbound

This paper cites Y came from D.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Y came from D

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:35.532302Z

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.

Observation 84682de5-454d-4ee9-802a-e35b25f46afe · outbound

This paper cites Expected Squared Error.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data Expected Squared Error

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:35.287836Z

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.

Observation 2c33c472-ce67-4efd-ad3e-7f92297bf6a7 · outbound

This paper cites For j ∈ Ui, let qj,i ∈ [0, 1] be the probability that user uj adds ˜ci,1 by one.

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data For j ∈ Ui, let qj,i ∈ [0, 1] be the probability that user uj adds ˜ci,1 by one

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:08:35.055547Z

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.

Coverage vector

Reference resolution

Outbound references

Pith citing papers