Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security | Paper Citation Record

Observation b4e9de3a-38f2-4d32-9dda-f84342baf486 · outbound

This paper cites Extracting training data from large language models,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Extracting training data from large language models,

Reference 1

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Observation 1aff50ed-0f94-4cc0-aa58-efe508bf7d2b · outbound

This paper cites Membership inference attacks against machine learning models,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Membership inference attacks against machine learning models,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T23:05:16.741627Z

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Observation 7fedd710-3901-44a4-948e-e573fdb00375 · outbound

This paper cites The secret sharer: Evaluating and testing unintended memorization in neural net- works,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security The secret sharer: Evaluating and testing unintended memorization in neural net- works,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:05:17.834217Z

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Observation b9832654-7fd7-4d34-9e03-e5fbdc515148 · outbound

This paper cites Practical secure aggregation for privacy-preserving machine learning,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Practical secure aggregation for privacy-preserving machine learning,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:05:17.823498Z

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

Observation 93bc0301-ffcb-423a-a151-e10e707a592c · outbound

This paper cites ELSA: Secure aggrega- tion for federated learning with malicious actors,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security ELSA: Secure aggrega- tion for federated learning with malicious actors,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:05:17.812443Z

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

Observation 6a7d4420-ddbf-437c-9ef5-03364ec567e1 · outbound

This paper cites Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-15T23:05:17.300603Z

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Observation 7e447599-6a03-4731-8efe-cb01db6bb03c · outbound

This paper cites Secure single-server aggregation with (poly) logarithmic overhead,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Secure single-server aggregation with (poly) logarithmic overhead,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T23:05:16.761302Z

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Observation c6b40abb-16c3-48cd-afd6-2b5b68299737 · outbound

This paper cites A hybrid approach to privacy-preserving federated learning,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security A hybrid approach to privacy-preserving federated learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:05:17.794745Z

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 b67e973e-ebda-487f-bfc4-b42c3a00bc2b · outbound

This paper cites Privex: Private collection of traf- fic statistics for anonymous communication networks,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Privex: Private collection of traf- fic statistics for anonymous communication networks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:05:17.783575Z

Source-reported events for the cited work

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Observation 2def059f-b46a-4365-bc7c-6b7096dc3a30 · outbound

This paper cites A post-quantum secure aggregation for federated learning,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security A post-quantum secure aggregation for federated learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:05:17.773085Z

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

Observation 72e0f856-b41b-4249-9796-540820332894 · outbound

This paper cites an unresolved cited work.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:05:17.761283Z

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 398202e3-fde5-4351-b716-561296094cb1 · outbound

This paper cites Nist post-quantum cryptography standardization,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Nist post-quantum cryptography standardization,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:05:17.749031Z

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 fc5bbcbf-dac1-4b3d-990d-f7b1b9490d01 · outbound

This paper cites Report on post-quantum cryptogrphy,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Report on post-quantum cryptogrphy,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:05:17.736638Z

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 c0a56450-8560-4326-bd48-89c7732abfe5 · outbound

This paper cites Nist selected post-quantum cryptography algorithms 2022,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Nist selected post-quantum cryptography algorithms 2022,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:05:17.725124Z

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Observation 3dc4f2ab-ac5f-406f-bb46-d5943d0edb4d · outbound

This paper cites TACHYON: fast signatures from compact knapsack,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security TACHYON: fast signatures from compact knapsack,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:05:17.714138Z

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 9ff11925-52db-4760-9025-ed4aa7b464f3 · outbound

This paper cites Towards practical post-quantum signatures for resource-limited internet of things,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Towards practical post-quantum signatures for resource-limited internet of things,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:05:17.703592Z

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 43b63771-cc60-4971-b2a2-34fa93777e78 · outbound

This paper cites Differential privacy,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Differential privacy,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T23:05:16.796319Z

Source-reported events for the cited work

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Observation 9b8b7e03-9918-469c-8d02-112307c4266b · outbound

This paper cites Deep learning with differential privacy,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Deep learning with differential privacy,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T23:05:16.799792Z

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Observation 9ea029fa-c959-4349-8e2a-5ac8f0b6bfab · outbound

This paper cites {V oltPillager}: Hardware-based fault injection attacks against intel{SGX} enclaves using the {SVID} voltage scaling interface,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security {V oltPillager}: Hardware-based fault injection attacks against intel{SGX} enclaves using the {SVID} voltage scaling interface,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:05:17.686371Z

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Observation cb4d791a-0210-46b6-a1b1-4f5d3926aac7 · outbound

This paper cites Foreshadow: Extracting the keys to the intel {SGX} kingdom with transient {Out- of-Order} execution,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Foreshadow: Extracting the keys to the intel {SGX} kingdom with transient {Out- of-Order} execution,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T23:05:16.806771Z

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Observation e0ddc602-3358-417c-9024-a974244afee2 · outbound

This paper cites Local Differential Privacy for Federated Learning.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Local Differential Privacy for Federated Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T23:05:16.810040Z

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Observation 0e1ed67d-d444-49b9-b063-4f0891f18053 · outbound

This paper cites Ldp-fed: Federated learning with local differential privacy,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Ldp-fed: Federated learning with local differential privacy,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T23:05:16.813821Z

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Observation b680c3d2-0110-438a-a642-b4400640dd22 · outbound

This paper cites Advances and open problems in federated learning,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Advances and open problems in federated learning,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T23:05:16.817715Z

Source-reported events for the cited work

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Observation 9650d180-db28-4e5f-b765-9b77046ceb46 · outbound

This paper cites Privacy amplification via random check-ins,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Privacy amplification via random check-ins,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:05:17.653809Z

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 435fcd43-8c12-42c8-bb47-96d26a839649 · outbound

This paper cites Training Production Language Models without Memorizing User Data.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Training Production Language Models without Memorizing User Data

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T23:05:16.825704Z

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Observation e080d280-b660-437e-8aae-fe4383901f71 · outbound

This paper cites Flamingo: Multi-round single-server secure aggregation with applications to private federated learning,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Flamingo: Multi-round single-server secure aggregation with applications to private federated learning,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:05:17.642937Z

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 3ba8644f-f8b7-4dbd-bf11-2a1182340d72 · outbound

This paper cites Microfedml: Privacy preserving federated learning for small weights,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Microfedml: Privacy preserving federated learning for small weights,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:05:17.632178Z

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 9cbfa658-3c60-4a6c-9998-dbd6b81f2a23 · outbound

This paper cites Crystals-dilithium: A lattice-based digital signature scheme,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Crystals-dilithium: A lattice-based digital signature scheme,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T23:05:16.838150Z

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Observation 8b923856-05d7-44af-9c0e-8d0f83f27977 · outbound

This paper cites Crystals-kyber: a cca-secure module-lattice- based kem,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Crystals-kyber: a cca-secure module-lattice- based kem,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:05:17.614809Z

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 2576efa1-b8e8-4c4e-bf7f-19351d9d0ff5 · outbound

This paper cites Eta: efficient and tiny and authentication for heteroge- neous wireless systems,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Eta: efficient and tiny and authentication for heteroge- neous wireless systems,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:05:17.603519Z

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 a4dea38d-1951-4c63-a85f-7778dc4f3998 · outbound

This paper cites Tachyon: Fast signatures from compact knapsack,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Tachyon: Fast signatures from compact knapsack,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T23:05:16.848475Z

Source-reported events for the cited work

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Observation a32e2f2f-6708-4425-91cc-9496de1310ee · outbound

This paper cites Crystals – dilithium: Digital signatures from module lattices,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Crystals – dilithium: Digital signatures from module lattices,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T23:05:16.851663Z

Source-reported events for the cited work

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Observation 08058b80-1eb4-4281-9ac6-14747a29821d · outbound

This paper cites LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T23:05:16.854696Z

Source-reported events for the cited work

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Observation b1ed5a4f-61cf-4965-8168-140dd30e5d5a · outbound

This paper cites Differentially Private Federated Learning: A Client Level Perspective.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Differentially Private Federated Learning: A Client Level Perspective

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T23:05:16.858438Z

Source-reported events for the cited work

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Observation 77e4752e-9fa2-4e3e-8e82-59fb1e69c294 · outbound

This paper cites {PrivateFL}: Accurate, differentially private federated learning via personalized data transfor- mation,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security {PrivateFL}: Accurate, differentially private federated learning via personalized data transfor- mation,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T23:05:16.862161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07f919a9-a83b-4160-8bb7-900e97bf4d7f · outbound

This paper cites Secure single-server aggregation with (poly)logarithmic overhead,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Secure single-server aggregation with (poly)logarithmic overhead,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T23:05:16.866026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d81b830-0eb2-4f7b-a96a-8f5014c65b5a · outbound

This paper cites Deep learning with differential privacy,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Deep learning with differential privacy,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T23:05:16.869675Z

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Observation a0ceacbc-abc3-4e76-9838-e034d07b19a0 · outbound

This paper cites Benchmarking post-quantum cryptography in tls,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Benchmarking post-quantum cryptography in tls,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:05:17.565481Z

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 b0c12848-5cf9-4497-9670-7bc48b1c3c18 · outbound

This paper cites Bounding training data recon- struction in dp-sgd,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Bounding training data recon- struction in dp-sgd,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:05:17.554685Z

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 eec521f6-6935-40e1-bb3f-5bfd68408df7 · outbound

This paper cites How to share a secret,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security How to share a secret,

Reference 40

Resolution: malformed identifier; no resolver link, observed 2026-08-15T23:05:16.879882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0b377f2-206b-4a79-8a4e-d94401085f88 · outbound

This paper cites Sphincs: practical stateless hash-based signatures,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Sphincs: practical stateless hash-based signatures,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:05:17.543272Z

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 b723b702-66a6-4827-86d0-bed5a6033713 · outbound

This paper cites Enhancing Quantum Security over Federated Learning via Post-Quantum Cryptography.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Enhancing Quantum Security over Federated Learning via Post-Quantum Cryptography

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-08-15T23:05:17.021857Z

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 7b15d0ae-6235-404f-81f8-96db82649d4e · outbound

This paper cites On removing rejection conditions in practical lattice-based signatures,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security On removing rejection conditions in practical lattice-based signatures,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:05:17.530147Z

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 bdfc8e2c-1496-443a-b55c-3a5440d1d7eb · outbound

This paper cites ABIDES: Towards High-Fidelity Market Simulation for AI Research.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security ABIDES: Towards High-Fidelity Market Simulation for AI Research

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T23:05:16.893167Z

Source-reported events for the cited work

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Observation e1851497-5fff-4319-91cb-36d66e08d845 · outbound

This paper cites Crystals-kyber python implementation,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Crystals-kyber python implementation,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:05:17.517199Z

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 25d1dae3-b795-483b-9b60-27fcaa233b28 · outbound

This paper cites Crystals-dilithium c implementation,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Crystals-dilithium c implementation,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:05:17.503880Z

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 eee2a7fe-7993-4660-8819-08c29a6da260 · outbound

This paper cites Ascon v1. 2: Lightweight authenticated encryption and hashing,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Ascon v1. 2: Lightweight authenticated encryption and hashing,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:05:17.491122Z

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 3f3b66fb-9b3d-4fcf-b1d6-cf740df18496 · outbound

This paper cites Flower: A Friendly Federated Learning Research Framework.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Flower: A Friendly Federated Learning Research Framework

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T23:05:16.906462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7dc23ca-2153-40b6-8ffb-a0d8955bb525 · outbound

This paper cites Pytorch opacus,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Pytorch opacus,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:05:17.478026Z

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 cd3a74a5-3e7d-47c0-a93d-c1a818e9f928 · outbound

This paper cites R ´enyi differential privacy,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security R ´enyi differential privacy,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T23:05:16.913102Z

Source-reported events for the cited work

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Observation 47c7777c-487e-4b58-ba75-41a4c4e7fb8a · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T23:05:16.916470Z

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Observation 62d60ca5-073f-4d8f-9b4d-4058183c3c42 · outbound

This paper cites Emnist: Extending mnist to handwritten letters,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Emnist: Extending mnist to handwritten letters,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T23:05:16.920296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7954363-d4ed-45a3-9fbe-aadd59bcd77d · outbound

This paper cites Learning multiple layers of features from tiny images,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Learning multiple layers of features from tiny images,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T23:05:16.923762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 758fafdf-ed8d-4a4f-b7e3-143ceebc2c47 · outbound

This paper cites Multi-class texture analysis in colorectal cancer histology,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Multi-class texture analysis in colorectal cancer histology,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:05:17.434276Z

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 8e314162-de5f-4501-8376-e68f04861f04 · outbound

This paper cites Aggregation service for federated learning: An efficient, secure, and more resilient realization,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Aggregation service for federated learning: An efficient, secure, and more resilient realization,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:05:17.421606Z

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 987f1cad-9979-4a9a-a6de-d545a688dbf4 · outbound

This paper cites {ACORN}: input validation for secure aggregation,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security {ACORN}: input validation for secure aggregation,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:05:17.407506Z

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 9d1428bb-401f-49d5-b9e3-8b2d1a036128 · outbound

This paper cites Eiffel: Ensuring integrity for federated learning,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Eiffel: Ensuring integrity for federated learning,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:05:17.394671Z

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 b52e065e-914e-43e9-a0de-0b5ecbbaf7ca · outbound

This paper cites Model extraction attack on mpc hardened vertical federated learning,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Model extraction attack on mpc hardened vertical federated learning,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:05:17.380676Z

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 76a7e5b4-7413-4c3e-9276-b216b053817b · outbound

This paper cites Efficient secure aggregation for privacy-preserving federated machine learning,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Efficient secure aggregation for privacy-preserving federated machine learning,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:05:17.367178Z

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 e149735f-873d-4b73-94eb-bfc071306483 · outbound

This paper cites Rofl: Robustness of secure federated learning,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Rofl: Robustness of secure federated learning,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:05:17.353272Z

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 da1e15e6-198a-4c84-9d14-b5a7d44c1e76 · outbound

This paper cites Sear: Secure and efficient aggregation for byzantine-robust federated learning,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Sear: Secure and efficient aggregation for byzantine-robust federated learning,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T23:05:16.950579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a4dbe99-40a3-4c14-8404-732fa32dab92 · outbound

This paper cites Verifl: Communication-efficient and fast verifiable aggregation for federated learning,.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Verifl: Communication-efficient and fast verifiable aggregation for federated learning,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:05:17.328333Z

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 8284a3a5-5f51-4d88-a3fa-ce7ca1c5d5f3 · outbound

This paper cites an unresolved cited work.

Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:05:17.314146Z

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