Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T06:31:13.569014Z
Paper Citation Record · LEDGER
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption
As of 9 August 2026, this Paper Citation Record lists 91 of 91 outbound references and 0 inbound Pith citation observations for arXiv:2607.21895.
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 2026-08-09T06:31:02.800959+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
91 of 91 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved91
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 45b961e1-59c0-4381-8424-9eecf14fefa6 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:05.897867Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb9d8104-fd9f-45ac-b0f6-3db323ca4701 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:05.981418Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b25b0ac9-739e-43ba-a487-826df6b8b1c5 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:06.099588Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8a03ce7-fd93-4ab9-86e2-f3cc86f40d1a · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:06.204749Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 94fea654-3536-497b-9d78-c2057e1159bf · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:06.294753Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed7ecdf2-6cd0-480f-a12e-90c8f025be0f · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:06.384249Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9905f79f-e5ff-45a8-b5a1-0a9a88fbcde6 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:06.475162Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c905a949-06d2-4d0b-bde7-490144b0a051 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:06.591442Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8f38673-f091-46cc-a29b-0ed5358edff7 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:06.804765Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 364ae701-6186-4477-a363-c328ad28aba7 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:06.894824Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e57f1b0-08ea-40ed-a4fc-6b79f7267f85 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:07.025167Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a3b2e73-0e9d-4b34-bd1a-b792099badd9 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:07.092275Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aab9a1b9-97b1-44da-a56d-f5f6e3e52ec7 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:07.136384Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ddfc1140-4701-4285-934e-ada042c9043b · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:07.311195Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 43e74259-bcce-4f0e-a61c-f0686a2ad695 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:07.381341Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8a12f4c-9aae-4c0c-a739-a7b560c56a9a · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:07.531792Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aabcece2-52a2-44b9-a88e-a68304825690 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:07.586082Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b6f64fb-21b3-4b64-9831-d4a4a298dc96 · outbound
This paper cites InProceedings of the 6th Workshop on Encrypted Computing & Applied Homomorphic Cryptography.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption InProceedings of the 6th Workshop on Encrypted Computing & Applied Homomorphic Cryptography
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:07.437271Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63c8e2c3-f4fa-4403-8d2d-56e37f6e8cc3 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:07.745466Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9233c6c6-f1ab-466c-b8fb-95473ae8482b · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:07.867552Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b88f634-5b94-4181-a993-36bbca36a485 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:07.659755Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1959572c-132c-4a25-bab2-55dd1b9f0b73 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:07.983290Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 602c0e50-a1a8-482b-b562-346c989799d5 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:08.059802Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 86d4f24c-aefd-484f-b4fb-8d0e2843c423 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:08.111367Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fda91163-d2be-4253-9c6a-2bbbee1983ba · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:07.923042Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e74933c-2772-4167-8bd8-bd71e509bcc0 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:08.272709Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ace4c3ae-a4ba-4efd-b6d6-dfeaa1625984 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:08.353560Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b837c7ea-809a-4ed0-b7ec-d4b65500ba7d · outbound
This paper cites 2009.Foundations of cryptography: volume 2, basic applications.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption 2009.Foundations of cryptography: volume 2, basic applications
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:08.448614Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0b701b5-f2f2-4570-8f63-4a3e5a810774 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:08.218353Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ade8abda-21f3-4174-abed-f7978c67f5ef · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:08.601674Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e4086d74-8101-4be9-84af-517be21a082d · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:08.674751Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8af018ab-0a5b-4830-baf5-f94da8809c4b · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:08.767602Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a8409bc2-9b35-4289-98cd-4d9c2c127d5e · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:08.534748Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 475d7c83-6e97-41d1-a5b5-ef9e8b5bb860 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:08.919220Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0202f4fc-a606-4750-9a99-9426289e667f · outbound
This paper cites Structured Pruning for Deep Convolutional Neural Networks: A survey.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Structured Pruning for Deep Convolutional Neural Networks: A survey
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:08.970517Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6cc6cb52-99a0-4f2b-9f87-210e0a91b58b · outbound
This paper cites CryptoDL: Deep Neural Networks over Encrypted Data.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption CryptoDL: Deep Neural Networks over Encrypted Data
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:09.147766Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7cfad0e5-2342-4c00-b82d-ca068bac789f · outbound
This paper cites Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:08.856358Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a0cb409d-f5c9-4e32-b4c0-faf3ce5e95d7 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:09.421716Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9fa5e0fa-0465-42f1-b6d8-47c62131b262 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:09.564219Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d48dc005-d5ea-4f2a-8a40-ba8c046599a8 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:09.683427Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1a5f3978-9307-42b2-9250-20c5fc02c30c · outbound
This paper cites Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:09.310951Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9c0686b-ad9c-4ea8-b3f8-ad381e9f589a · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:09.944303Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1094850d-421c-489f-b2aa-66d23c93c1be · outbound
This paper cites Efficient CNN Building Blocks for Encrypted Data.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Efficient CNN Building Blocks for Encrypted Data
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:10.013543Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4ec754f3-b517-4317-adb3-fde1e532236d · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:10.078163Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d81243b6-a5c2-4ab6-980c-d99cc1aeaee0 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:09.834549Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3434b949-db32-4c96-bdfb-8be3213e5747 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:10.209739Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f75749cb-993d-41f9-aadd-0b9279abd6a0 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:10.298361Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8ef0b515-a0d1-42d6-a74e-e72102319474 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:10.363029Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d22ffc6-0eb1-4b2c-8923-005af505fa41 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:10.148356Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e16c952-cb48-494f-bf9d-f029697f58b9 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:10.526696Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5d3587dc-d6d2-4636-9676-af8167d39235 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:10.633375Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9a8276c-b79c-4d63-a18c-38338b27341e · outbound
This paper cites Pruning Filters for Efficient ConvNets.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Pruning Filters for Efficient ConvNets
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:10.696232Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cdd939b3-5e6d-4129-a3d3-dfa849305256 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:10.455672Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bcd82583-5606-4ae3-8331-3cf72f8e2a68 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:10.837693Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0914e09f-f9ee-49e7-8923-e2b452e50334 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:10.907028Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 600374c0-9106-48b6-b14a-616676b7ca1e · outbound
This paper cites Rethinking the Value of Network Pruning.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Rethinking the Value of Network Pruning
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:10.954853Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2f31bfa-2d85-48fd-bc03-8aa087139a84 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:10.768066Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 041de178-bd13-4bf2-9984-e800aa764f01 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:11.211959Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b7b0662-a37d-4dd7-8872-e52d7f3781b3 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:11.252970Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 390d699b-728a-4566-8d97-69dbf6b564a0 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:11.340553Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f00e17c-3ac2-4e3b-8b28-a1801a741349 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:11.097782Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1c89b1f0-e22e-4a55-bced-40422d93f60c · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:11.581783Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0ec78e4-732a-4e9d-964c-ce37ed906a97 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:11.644669Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f7de8a44-3dc7-439a-a00d-55b6b93b8e3c · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:11.715137Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3647e0f-0b28-4cc4-83b2-8f974ee14b3d · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:11.779767Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 156affc7-5bd4-48bd-9760-81a624fcbd5e · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:11.494047Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3989ca4c-5b9c-4530-a7bf-6f203cb13ca5 · outbound
This paper cites Searching for Activation Functions.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Searching for Activation Functions
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:11.897478Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c176d36b-0ee9-497c-858d-7830e324370e · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:11.949174Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf733f98-8f0b-44c6-b2bc-7c6c56df3c9b · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:12.014721Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 94534a1e-451e-4b6a-ae20-37207b084b13 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:12.074087Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 74d44454-c287-4753-ac67-5d28eb1bb92d · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:11.836193Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 85c17a8f-daa8-4796-adf1-7478efdf0a56 · outbound
This paper cites Microsoft SEAL (release 4.0).
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Microsoft SEAL (release 4.0)
Reference 72
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:12.304919Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5cfbfcfc-55d5-44d6-b606-727c45c85cfa · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 73
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:12.413502Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1290af96-1e9e-4160-99b4-b74784524c6a · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 74
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:12.529704Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d782cb6d-4c7f-4b5a-a7c7-3710f1c07f0f · outbound
This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Very Deep Convolutional Networks for Large-Scale Image Recognition
Reference 75
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:12.630148Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 61db2a21-3205-4a04-b946-e066fdda58fa · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 76
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:12.167915Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f2f09925-8e9a-4151-a561-7a2397fc4774 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 77
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:12.824689Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a0dd9c1e-f491-4eae-8113-8cd955b73414 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 78
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:12.940415Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7768717-bc3b-41b7-83e6-a395b8c9193c · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 79
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:13.032157Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation df9a4438-73ed-42bd-bf13-73221b2920c6 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 80
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:13.121723Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14744be4-40de-4dda-a488-84fa00d65473 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 81
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:12.717326Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 46acf29a-2708-426c-a7fc-049796a6b078 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 82
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:13.458873Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef5cf795-6169-4dfc-9151-7d21cfee9c2d · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 83
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:13.523900Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd1fd820-845b-4a9c-90ea-38d08b94b5cb · outbound
This paper cites InInternational Conference on Machine Learning.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption InInternational Conference on Machine Learning
Reference 86
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:13.227572Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5419ef46-cab4-47c4-8bc1-aad4a0e89019 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 87
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:13.322489Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation baba57f0-1bfa-4b2c-b9b2-b06fd9e7df20 · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 88
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:13.389032Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f620c2b0-0c57-42dd-bd12-673f9a4825bf · outbound
This paper cites • CIFAR10.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption • CIFAR10
Reference 91
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:13.569014Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d7eab8bd-c098-4eaf-9a19-19b1f1b923ea · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 2014
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:07.805548Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a68a4db1-f59a-4960-a14d-a5bddc747f70 · outbound
This paper cites Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference
Reference 2018
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:07.234828Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e21a852e-8900-4b58-8baa-80bb51b8f0ea · outbound
This paper cites an unresolved cited work.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Unresolved cited work
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:11.431853Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a9a3767a-b379-49d8-84c8-bdbe5de2b597 · outbound
This paper cites InAAAI, Vol.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption InAAAI, Vol
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:31:06.684775Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.