Paper Citation Record · LEDGER

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption

As of 19 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2506.07894.

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

pith.paper-citation-record.v1
2506.07894 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:26:50.177935Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

verified exact0
verified fuzzy21
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2baab140-fa06-4120-ae20-0873a1debf41 · outbound

This paper cites Exploring threats, defenses, and privacy-preserving techniques in federated learning: A survey,.

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption Exploring threats, defenses, and privacy-preserving techniques in federated learning: A survey,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:26:50.695109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a4aeac89-7f82-4b44-b33d-5aa14cbfcb5b · outbound

This paper cites Deep leakage from gradients,.

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption Deep leakage from gradients,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:50.014518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 846ebaa7-fa45-413a-9a22-e0284a1750ee · outbound

This paper cites A method for obtaining digital signatures and public-key cryptosystems,.

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption A method for obtaining digital signatures and public-key cryptosystems,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:50.019143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 236f6ebc-316e-4b36-ba02-d4359aa927ef · outbound

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

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption Public-key cryptosystems based on composite degree residu- osity classes,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:26:50.661802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0a56a425-6041-4dd2-b479-ffcd74185461 · outbound

This paper cites Fully homomorphic encryption using ideal lattices,.

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption Fully homomorphic encryption using ideal lattices,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:26:50.647263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1eda5752-4011-4c85-9ec1-621a4259bbab · outbound

This paper cites (leveled) fully ho- momorphic encryption without bootstrapping,.

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption (leveled) fully ho- momorphic encryption without bootstrapping,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:50.037524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35bca233-1025-4475-9f05-6077d7edbd19 · outbound

This paper cites Homomorphic encryption for arithmetic of approximate numbers,.

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption Homomorphic encryption for arithmetic of approximate numbers,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:26:50.621830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 220c49b3-d54a-402c-ae48-9c0d158b3510 · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data,.

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption Communication-efficient learning of deep networks from decentralized data,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:50.048518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6edd108-dca4-4222-9a3f-c3aa22231614 · outbound

This paper cites Federated learning: Challenges, methods, and future directions,.

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption Federated learning: Challenges, methods, and future directions,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:26:50.596153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0060d4bb-baf6-4038-b411-f8c2cc07950c · outbound

This paper cites Scaffold: Stochastic controlled averaging for federated learn- ing,.

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption Scaffold: Stochastic controlled averaging for federated learn- ing,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:26:50.580861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e96adb3c-f6e9-4408-831e-c847bcfa5fca · outbound

This paper cites A survey on homomorphic encryption schemes: Theory and implementation,.

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption A survey on homomorphic encryption schemes: Theory and implementation,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:50.063459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ea4f30c-144f-471d-bb0a-629fe67c8d4e · outbound

This paper cites Fully homomorphic encryption without bootstrapping,.

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption Fully homomorphic encryption without bootstrapping,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:26:50.555252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a5d734f9-d3ec-42f3-b3dc-652cee38e1ce · outbound

This paper cites Somewhat practical fully homomorphic encryption,.

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption Somewhat practical fully homomorphic encryption,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:50.072069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37e1bd6e-a606-4f83-978b-fbabc7161b5b · outbound

This paper cites Does Fully Homomorphic Encryption Need Compute Acceleration?.

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption Does Fully Homomorphic Encryption Need Compute Acceleration?

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:50.077012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92804e26-c06c-4e96-8ddd-e345c8a3c15a · outbound

This paper cites {BatchCrypt}: Efficient homomorphic encryption for {Cross-Silo} federated learning,.

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption {BatchCrypt}: Efficient homomorphic encryption for {Cross-Silo} federated learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:26:50.529622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 485d34a9-ebab-40c5-b108-bc1c9c411da7 · outbound

This paper cites Privacy preserving machine learning with ho- momorphic encryption and federated learning,.

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption Privacy preserving machine learning with ho- momorphic encryption and federated learning,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:26:50.513840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1ef7f856-3015-423c-a0f7-d2a0e56db764 · outbound

This paper cites FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System.

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:50.090607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24323ce8-6db2-4d36-8f1a-026084ae45c8 · outbound

This paper cites A survey on cyber-security of connected and autonomous vehicles (cavs),.

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption A survey on cyber-security of connected and autonomous vehicles (cavs),

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:50.095989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf98d98b-5f5c-4fb8-8265-632af886a3c6 · outbound

This paper cites Federated learning for intrusion detection systems in internet of vehicles: a general taxonomy, applications, and future directions,.

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption Federated learning for intrusion detection systems in internet of vehicles: a general taxonomy, applications, and future directions,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:26:50.487642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6c0df0e6-0b88-4573-a8f2-bdaa28ecea36 · outbound

This paper cites Analyzing fed- erated learning through an adversarial lens,.

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption Analyzing fed- erated learning through an adversarial lens,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:26:50.471304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3e14e23e-975a-46c9-8c9b-4117b29df6d2 · outbound

This paper cites Mitigating Sybils in Federated Learning Poisoning.

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption Mitigating Sybils in Federated Learning Poisoning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:50.109559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec0077ed-d2cd-407b-834d-7ca4a69b41c6 · outbound

This paper cites Local model poisoning attacks to {Byzantine-Robust} federated learning,.

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption Local model poisoning attacks to {Byzantine-Robust} federated learning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:26:50.453867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 53c10fc3-1afc-46c5-8bed-9baebe530d44 · outbound

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

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption Membership inference attacks against machine learning models,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:26:50.433243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 346203f9-2537-48b2-80d9-08013fda0c07 · outbound

This paper cites iDLG: Improved Deep Leakage from Gradients.

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption iDLG: Improved Deep Leakage from Gradients

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:50.125905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c885f2c-e0a2-4907-a50b-2a2e770bbb19 · outbound

This paper cites Securing con- nected & autonomous vehicles: Challenges posed by adversarial machine learning and the way forward,.

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption Securing con- nected & autonomous vehicles: Challenges posed by adversarial machine learning and the way forward,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:26:50.415248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8d619b71-3d24-4ca8-bc92-35dd597254c6 · outbound

This paper cites Autonomous vehicle: Security by design,.

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption Autonomous vehicle: Security by design,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:26:50.398938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1acd82a2-a1bb-4571-9698-f2a1022d98e9 · outbound

This paper cites Attacks on machine learning: Adversarial examples in connected and autonomous vehicles,.

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption Attacks on machine learning: Adversarial examples in connected and autonomous vehicles,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:26:50.381683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a7224a0a-a033-4002-a38f-6d47c68cd821 · outbound

This paper cites Microsoft SEAL (release 4.1).

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption Microsoft SEAL (release 4.1)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:26:50.366342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c50f8aa8-e5d1-4147-97a4-13fbe3ea73aa · outbound

This paper cites Design and implementation of helib: a homomorphic encryption library,.

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption Design and implementation of helib: a homomorphic encryption library,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:50.151554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 933437c0-fd4f-4ba4-8a3a-9618c10d6a59 · outbound

This paper cites PALISADE Lattice Cryptography Library (release 1.11.3).

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption PALISADE Lattice Cryptography Library (release 1.11.3)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:26:50.340817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e9d1e7c5-877e-4f54-8896-78e79aa461f4 · outbound

This paper cites TenSEAL: A Library for Encrypted Tensor Operations Using Homomorphic Encryption.

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption TenSEAL: A Library for Encrypted Tensor Operations Using Homomorphic Encryption

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:50.161994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d336cdd-43ae-4a48-96df-69a75c8cbcbd · outbound

This paper cites Agrawal and A.

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption Agrawal and A

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:26:50.325586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7b191f42-8625-4303-b934-fcc130cbe9fa · outbound

This paper cites Importance estimation for neural network pruning,.

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption Importance estimation for neural network pruning,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:26:50.310226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2273661a-f7be-43c7-a1b8-277be45a494c · outbound

This paper cites Pyfhel: Python for homomorphic encryp- tion libraries,.

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption Pyfhel: Python for homomorphic encryp- tion libraries,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:26:50.294155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.