Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:06:25.161901Z
Paper Citation Record · LEDGER
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning
As of 17 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2505.05843.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
54 of 54 outbound references displayed
- verified exact5
- verified fuzzy32
- unresolved13
- parse uncertain0
- malformed identifier2
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 2a63ab20-2041-46e4-a686-6b4492554538 · outbound
This paper cites an unresolved cited work.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning Unresolved cited work
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:06:24.962455Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 018c32da-a5d6-46b7-8313-1aace35734b4 · outbound
This paper cites In: Proceedings of the 2016 ACM SIGSAC conference on computer and communications security.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning In: Proceedings of the 2016 ACM SIGSAC conference on computer and communications security
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:06:24.967601Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 43b84e68-02a0-4dbe-b861-b29fa2067e92 · outbound
This paper cites an unresolved cited work.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning Unresolved cited work
Reference 3
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-15T23:06:25.906096Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 92f512ba-8196-4c57-895d-818891a70cb6 · outbound
This paper cites an unresolved cited work.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning Unresolved cited work
Reference 4
- Resolution
- verified exact
- doi, observed 2026-08-15T23:06:25.251002Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ab2d28b3-092a-4fe6-858a-7c1f26f374a4 · outbound
This paper cites In: Theory of Cryptography Conference.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning In: Theory of Cryptography Conference
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:06:25.893731Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation df420f39-bd13-47f3-8d9e-e7673b29242d · outbound
This paper cites an unresolved cited work.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T23:06:25.882915Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5f3a9f76-a47d-47e1-bfb4-cfb03e850cca · outbound
This paper cites https://pkg.go.dev/crypto/aes@go1.23.2 (2024), https://pkg.go.dev/crypto/aes@go1.23.2, version go1.23.2.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning https://pkg.go.dev/crypto/aes@go1.23.2 (2024), https://pkg.go.dev/crypto/aes@go1.23.2, version go1.23.2
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:06:25.870745Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 31ef4705-139a-4cfc-9c4a-c54d42178f85 · outbound
This paper cites Heal the Privacy: Functional Encryption and Privacy-Preserving Analytics.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning Heal the Privacy: Functional Encryption and Privacy-Preserving Analytics
Reference 8
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-15T23:06:25.450950Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d8cee19f-980a-4426-80b9-f8e996a41882 · outbound
This paper cites In: Proceedings of the Twelveth ACM Conference on Data and Application Security and Privacy.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning In: Proceedings of the Twelveth ACM Conference on Data and Application Security and Privacy
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:06:25.858279Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5610e783-f9a9-4e27-93aa-7e4ea59b0b14 · outbound
This paper cites In: Dy, J., Krause, A.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning In: Dy, J., Krause, A
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:06:25.845453Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ce74def6-c4bc-47ab-a44a-cb1d04e85e4f · outbound
This paper cites In: Annual In- ternational Cryptology Conference.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning In: Annual In- ternational Cryptology Conference
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:06:25.834665Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2144503a-aa25-4101-81e6-d20c5007006e · outbound
This paper cites an unresolved cited work.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning Unresolved cited work
Reference 12
- Resolution
- verified exact
- doi, observed 2026-08-15T23:06:25.238941Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 99c9695e-9c18-4ba3-a5d8-4d46353ad86f · outbound
This paper cites Proceedings on Privacy Enhancing Technologies2020(2), 5–23 (2020).
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning Proceedings on Privacy Enhancing Technologies2020(2), 5–23 (2020)
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:06:25.823422Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9fe45f83-aa2f-4673-9b18-251776890a1c · outbound
This paper cites IEEE Transactions on Information Forensics and Security 18, 1855–1869 (2023).
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning IEEE Transactions on Information Forensics and Security 18, 1855–1869 (2023)
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:06:25.812383Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 273daadb-ab21-427b-8c4d-2474ef8a564b · outbound
This paper cites an unresolved cited work.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning Unresolved cited work
Reference 15
- Resolution
- verified exact
- doi, observed 2026-08-15T23:06:25.227363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 08cfdbdf-2cd5-4792-912d-8a051ec0ec8f · outbound
This paper cites In: Micciancio, D., Ristenpart, T.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning In: Micciancio, D., Ristenpart, T
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:06:25.801591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4a168b97-5df4-4645-b102-e3ee8dae8ac3 · outbound
This paper cites an unresolved cited work.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning Unresolved cited work
Reference 17
- Resolution
- verified exact
- doi, observed 2026-08-15T23:06:25.215500Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fd5b53fc-dbdf-4527-af3b-46009ed0098c · outbound
This paper cites Dynamic Differential-Privacy Preserving SGD.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning Dynamic Differential-Privacy Preserving SGD
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:06:25.027312Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a2bc9731-bc56-4065-b8a9-20bee3427653 · outbound
This paper cites Cryptology ePrint Archive (2018).
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning Cryptology ePrint Archive (2018)
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:06:25.789858Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 12eb827c-4f23-4095-b441-f4e1fad48009 · outbound
This paper cites Founda- tions and Trends® in Theoretical Computer Science9(3–4), 211–407 (2014).
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning Founda- tions and Trends® in Theoretical Computer Science9(3–4), 211–407 (2014)
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:06:25.777514Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8461423d-686d-4a01-9cf0-9fe1e4b8cf05 · outbound
This paper cites Proceedings on Privacy Enhancing Technologies4, 583–604 (2024).
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning Proceedings on Privacy Enhancing Technologies4, 583–604 (2024)
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:06:25.764813Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5d048d9b-eb68-43f2-b106-5a1948f1e680 · outbound
This paper cites FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:06:25.041641Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d9a1fe0-3913-4f13-8fca-9b354a4c2f71 · outbound
This paper cites SIAM Journal on Computing45(3), 882–929 (2016) 28 L.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning SIAM Journal on Computing45(3), 882–929 (2016) 28 L
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:06:25.752598Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d2f1f1f1-77d6-4ed1-baa4-83af23a2fc53 · outbound
This paper cites In: Proceedings of the forty-first annual ACM symposium on Theory of computing.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning In: Proceedings of the forty-first annual ACM symposium on Theory of computing
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:06:25.735609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9b50225c-1b75-4d93-b49c-7811ab79d3d9 · outbound
This paper cites Manuscript.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning Manuscript
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:06:25.722954Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bd3e9273-cfc3-4e5e-ae34-413aa0228bdd · outbound
This paper cites In: Pro- ceedings of the 2020 ACM SIGSAC conference on computer and communications security.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning In: Pro- ceedings of the 2020 ACM SIGSAC conference on computer and communications security
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:06:25.711480Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 48b5586f-b94b-4feb-9a1a-0eecf107c5ad · outbound
This paper cites BMC medical genomics 11, 23–31 (2018).
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning BMC medical genomics 11, 23–31 (2018)
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:06:25.699516Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 257ee07a-7ee3-42ed-ac0e-37888c868ce9 · outbound
This paper cites IEEE Transactions on Infor- mation Forensics and Security15, 695–710 (2019).
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning IEEE Transactions on Infor- mation Forensics and Security15, 695–710 (2019)
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:06:25.685910Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8d0b2569-9c89-4047-8991-9b190d8680de · outbound
This paper cites JMIR medical infor- matics 6(2), e8805 (2018).
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning JMIR medical infor- matics 6(2), e8805 (2018)
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:06:25.671961Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4ada9292-6162-4c08-9586-577df62d15ad · outbound
This paper cites In: 2021 International Conference on Networking and Network Applications (NaNA).
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning In: 2021 International Conference on Networking and Network Applications (NaNA)
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:06:25.072114Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed0290ec-7684-4f35-98e1-4ef886675efd · outbound
This paper cites IEEE signal processing magazine37(3), 50–60 (2020).
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning IEEE signal processing magazine37(3), 50–60 (2020)
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:06:25.075561Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab88384b-e6ec-4633-b26c-60bbf9842804 · outbound
This paper cites an unresolved cited work.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning Unresolved cited work
Reference 32
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-15T23:06:25.652985Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 48912e9f-c3f5-4663-8de0-387157ce90fa · outbound
This paper cites In: International Conference on Information Systems Security and Privacy.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning In: International Conference on Information Systems Security and Privacy
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:06:25.641707Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c2a5b79f-1e8f-4697-b7a7-29300da246b1 · outbound
This paper cites lbw: Low birth weight study data (8 2024),https://rdrr.io/rforge/LogisticDx/man/lbw.html.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning lbw: Low birth weight study data (8 2024),https://rdrr.io/rforge/LogisticDx/man/lbw.html
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:06:25.630088Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2c590393-b5cb-45c4-94c4-de26553d6d65 · outbound
This paper cites nhanes3: Nhanes iii data (8 2024),https://rdrr.io/rforge/LogisticDx/man/nhanes3.html.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning nhanes3: Nhanes iii data (8 2024),https://rdrr.io/rforge/LogisticDx/man/nhanes3.html
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:06:25.618543Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cfd317ed-7616-4682-9718-a2c5f9de5fa7 · outbound
This paper cites pcs: Prostate cancer study data (8 2024),https://rdrr.io/rforge/LogisticDx/man/pcs.html.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning pcs: Prostate cancer study data (8 2024),https://rdrr.io/rforge/LogisticDx/man/pcs.html
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:06:25.606561Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 52ff1bd9-3754-41be-a5ab-d24fdf30997a · outbound
This paper cites uis: Umaru im- patct study data (8 2024),https://rdrr.io/rforge/LogisticDx/man/uis.html.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning uis: Umaru im- patct study data (8 2024),https://rdrr.io/rforge/LogisticDx/man/uis.html
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:06:25.594336Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 58918bbb-a358-402f-83c3-821eaac5bd16 · outbound
This paper cites IEEE Internet of Things Journal 7(7), 5827–5842 (2020).https://doi.org/10.1109/JIOT.2019.2952146.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning IEEE Internet of Things Journal 7(7), 5827–5842 (2020).https://doi.org/10.1109/JIOT.2019.2952146
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:06:25.100508Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 273cc56b-c6ea-4e12-a639-012c598419d8 · outbound
This paper cites an unresolved cited work.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning Unresolved cited work
Reference 39
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T23:06:25.582124Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2878bac0-74e8-409b-8bde-d0c141640df3 · outbound
This paper cites Local and Central Differential Privacy for Robustness and Privacy in Federated Learning.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning Local and Central Differential Privacy for Robustness and Privacy in Federated Learning
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:06:25.107837Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 56d6f3d6-fa4c-4f7d-aefb-c4252da6e58f · outbound
This paper cites In: Proceedings of the 9th ACM International Workshop on Security and Privacy Analytics.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning In: Proceedings of the 9th ACM International Workshop on Security and Privacy Analytics
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:06:25.571202Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9bf752dd-5774-4e5a-888c-743521e5be92 · outbound
This paper cites an unresolved cited work.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning Unresolved cited work
Reference 42
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T23:06:25.559808Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9c86e424-68aa-47e8-a657-50476eb60d5d · outbound
This paper cites Partially Encrypted Machine Learning using Functional Encryption.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning Partially Encrypted Machine Learning using Functional Encryption
Reference 43
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-15T23:06:25.280382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e48cccb9-1323-4415-a4db-cbe80c057d72 · outbound
This paper cites OECD Health Working Papers No.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning OECD Health Working Papers No
Reference 44
- Resolution
- verified exact
- doi, observed 2026-08-15T23:06:25.203126Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cea98ebe-cd38-4e42-b870-e923e184c9ff · outbound
This paper cites https://doi.org/https://doi.org/10.6028/NIST.FIPS.197-upd1, https: //tsapps.nist.gov/publication/get_pdf.cfm?pub_id=936594.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning https://doi.org/https://doi.org/10.6028/NIST.FIPS.197-upd1, https: //tsapps.nist.gov/publication/get_pdf.cfm?pub_id=936594
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:06:25.127372Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4337fc5e-a87b-4768-b406-9dfa7da117a7 · outbound
This paper cites com/google/differential-privacy.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning com/google/differential-privacy
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:06:25.547810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6d375c48-04f9-402e-98fb-df4edbc6513d · outbound
This paper cites Verifiable Fully Homomorphic Encryption.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning Verifiable Fully Homomorphic Encryption
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:06:25.134737Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fc2fbd91-c69c-4100-93c1-bab4bde9f709 · outbound
This paper cites In: Annual Cryptology Conference.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning In: Annual Cryptology Conference
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:06:25.535518Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 733e13e0-6885-46a0-8873-8fb27e5c6918 · outbound
This paper cites In: 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS).
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning In: 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS)
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:06:25.523901Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8dcdebcd-3123-46ab-9b18-bb26d19febbc · outbound
This paper cites Proceedings on Privacy Enhancing Technologies2, 509–530 (2024).
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning Proceedings on Privacy Enhancing Technologies2, 509–530 (2024)
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:06:25.510500Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 49bfa4b7-2255-4f6c-bc86-a0750a68fe44 · outbound
This paper cites Information Sciences476, 357–372 (2019).
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning Information Sciences476, 357–372 (2019)
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:06:25.497132Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7c6ec214-69b0-42cf-ba21-24ed1fb3b6a1 · outbound
This paper cites Federated Learning Systems: Towards Next-Generation AI pp.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning Federated Learning Systems: Towards Next-Generation AI pp
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:06:25.485456Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4e49cdaa-aaec-4288-9929-49a76614da6f · outbound
This paper cites Dec(dkf,ℓ, ct1,ℓ,..., ctn,ℓ): Takes as input the decryption keydkf,ℓ andn cipher- texts ct1,ℓ,..., ctn,ℓ, all encrypted under the same label used for the decryp- tion key.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning Dec(dkf,ℓ, ct1,ℓ,..., ctn,ℓ): Takes as input the decryption keydkf,ℓ andn cipher- texts ct1,ℓ,..., ctn,ℓ, all encrypted under the same label used for the decryp- tion key
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:06:25.474435Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3cf9c8e6-dd58-4b82-95b1-f3946677c856 · outbound
This paper cites Enhancing Noisy FE for PPML 37 Proof.
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning Enhancing Noisy FE for PPML 37 Proof
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:06:25.462773Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.