Paper Citation Record · LEDGER

Client-Side Patching against Backdoor Attacks in Federated Learning

As of 16 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2412.10605.

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

pith.paper-citation-record.v1
2412.10605 v2

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:51:51.527168Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

42 of 42 outbound references displayed

verified exact1
verified fuzzy33
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 18053937-0fe3-4c40-9cc8-4f9eae7409ba · outbound

This paper cites Communication-eﬃcient learning of d eep networks from decentralized data.

Client-Side Patching against Backdoor Attacks in Federated Learning Communication-eﬃcient learning of d eep networks from decentralized data

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:51:52.566035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2770a5fe-1511-455f-9bde-6b447b005fa2 · outbound

This paper cites Federated learning for connected a nd au- tomated vehicles: A survey of existing approaches and chall enges.

Client-Side Patching against Backdoor Attacks in Federated Learning Federated learning for connected a nd au- tomated vehicles: A survey of existing approaches and chall enges

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:51:52.536406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 72263f93-1c58-4cff-ae94-e4c0d6253f35 · outbound

This paper cites Federated learning for health- care: Systematic review and architecture proposal.

Client-Side Patching against Backdoor Attacks in Federated Learning Federated learning for health- care: Systematic review and architecture proposal

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:51:52.511189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bda5ee7f-0c94-46c1-aa5e-4352402d874f · outbound

This paper cites an unresolved cited work.

Client-Side Patching against Backdoor Attacks in Federated Learning Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:51:52.486409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9439ddf6-cb8b-4e12-b10c-721eaa5407fb · outbound

This paper cites How to backdoor federated learning.

Client-Side Patching against Backdoor Attacks in Federated Learning How to backdoor federated learning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:51:52.463644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 47178035-1103-4040-ad35-700ab9d9f192 · outbound

This paper cites Privacy and robustness in federa ted learning: Attacks and defenses.

Client-Side Patching against Backdoor Attacks in Federated Learning Privacy and robustness in federa ted learning: Attacks and defenses

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:51:52.436807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0c71bda3-08e8-4cee-abbe-4607f82e384e · outbound

This paper cites Federated learning with dif- ferential privacy: Algorithms and performance analysis.

Client-Side Patching against Backdoor Attacks in Federated Learning Federated learning with dif- ferential privacy: Algorithms and performance analysis

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:51:52.415276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9031c247-8302-4d79-8824-ba791b15e9bb · outbound

This paper cites {FLAME}: Taming backdoors in federated learning.

Client-Side Patching against Backdoor Attacks in Federated Learning {FLAME}: Taming backdoors in federated learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:51:52.380144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8bc52ed6-e497-4da8-8296-fe0488eb86ce · outbound

This paper cites Celtibero: Robust Layered Aggregation for Federated Learning.

Client-Side Patching against Backdoor Attacks in Federated Learning Celtibero: Robust Layered Aggregation for Federated Learning

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-11T15:51:51.732277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8c90f003-f3fc-4f49-ae32-3ac76ef63ee7 · outbound

This paper cites Neurotoxin: Durable backdoors in federated learning.

Client-Side Patching against Backdoor Attacks in Federated Learning Neurotoxin: Durable backdoors in federated learning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:51:52.359024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a13a3e26-901f-4e3d-96d9-bd188aece5de · outbound

This paper cites Diﬀerentially private learning with adaptive cli pping.

Client-Side Patching against Backdoor Attacks in Federated Learning Diﬀerentially private learning with adaptive cli pping

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:51:52.340864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 52427825-7912-4a4c-8007-f95823d5f372 · outbound

This paper cites an unresolved cited work.

Client-Side Patching against Backdoor Attacks in Federated Learning Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:51:52.323311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8283e63c-d1c5-401b-a835-9719b364fb68 · outbound

This paper cites Poisoning with cerberus: Stealthy an d colluded backdoor attack against federated learning.

Client-Side Patching against Backdoor Attacks in Federated Learning Poisoning with cerberus: Stealthy an d colluded backdoor attack against federated learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:51:52.303387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2d216eed-00ba-4f97-ab7b-799ae69eac8c · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Client-Side Patching against Backdoor Attacks in Federated Learning Explaining and Harnessing Adversarial Examples

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T15:51:51.324408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef6b967d-b241-430f-b303-431fc1ef8e4d · outbound

This paper cites Towards deep learning models res istant to adversarial attacks.

Client-Side Patching against Backdoor Attacks in Federated Learning Towards deep learning models res istant to adversarial attacks

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:51:52.286564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation aa074b75-2205-4a31-bdba-c16bde948649 · outbound

This paper cites A sur- vey of robust adversarial training in pattern recognition: Fundamental, theory, and methodologies.

Client-Side Patching against Backdoor Attacks in Federated Learning A sur- vey of robust adversarial training in pattern recognition: Fundamental, theory, and methodologies

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:51:52.268901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3f89eee3-a292-41ca-a25c-7ffed4c8b2b9 · outbound

This paper cites L atent back- door attacks on deep neural networks.

Client-Side Patching against Backdoor Attacks in Federated Learning L atent back- door attacks on deep neural networks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:51:52.248261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8680f1e1-2076-4ed3-902a-2b7aae752efb · outbound

This paper cites Input-aware dynamic backd oor attack.

Client-Side Patching against Backdoor Attacks in Federated Learning Input-aware dynamic backd oor attack

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:51:52.230241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f71df71e-00bb-40dd-959f-10a95c3ede32 · outbound

This paper cites The mnist database of handwritten digits.

Client-Side Patching against Backdoor Attacks in Federated Learning The mnist database of handwritten digits

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T15:51:51.361578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e20ff5c8-d9e7-4e53-b2e5-b7682220e2f8 · outbound

This paper cites Dba: Dist ributed back- door attacks against federated learning.

Client-Side Patching against Backdoor Attacks in Federated Learning Dba: Dist ributed back- door attacks against federated learning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:51:52.204386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 097927ab-5fe9-4548-9656-b59c28b3dfa2 · outbound

This paper cites On the dirichlet distribution.

Client-Side Patching against Backdoor Attacks in Federated Learning On the dirichlet distribution

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:51:52.176888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3fb9d882-5c69-4eb7-b774-c5e06eb3f0ba · outbound

This paper cites Median-krum : A joint distance-statistical based byzantine-robust algorithm i n federated learning.

Client-Side Patching against Backdoor Attacks in Federated Learning Median-krum : A joint distance-statistical based byzantine-robust algorithm i n federated learning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:51:52.157960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bd21765e-5395-43e2-b50f-b872d27434f6 · outbound

This paper cites The limitations of federated learning in sybil settings.

Client-Side Patching against Backdoor Attacks in Federated Learning The limitations of federated learning in sybil settings

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:51:52.138085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 19a7f46b-92a0-4ecd-b160-1a4bbaf001ca · outbound

This paper cites Lﬁghter: Defending against the lab el-ﬂipping attack in federated learning.

Client-Side Patching against Backdoor Attacks in Federated Learning Lﬁghter: Defending against the lab el-ﬂipping attack in federated learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:51:52.118533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e51193ab-c2cf-4e68-929b-ea38db294f53 · outbound

This paper cites Roseagg: Robust defense against targeted collusion attacks in feder ated learning.

Client-Side Patching against Backdoor Attacks in Federated Learning Roseagg: Robust defense against targeted collusion attacks in feder ated learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:51:52.080257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e1b3baea-2616-4922-b2d2-1204b64a2f38 · outbound

This paper cites Can You Really Backdoor Federated Learning?.

Client-Side Patching against Backdoor Attacks in Federated Learning Can You Really Backdoor Federated Learning?

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T15:51:51.410822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2a3a83e-1c09-461b-b537-1e25dd03a559 · outbound

This paper cites Vppﬂ: A veriﬁable privacy-preserving federated learning s cheme against poisoning attacks.

Client-Side Patching against Backdoor Attacks in Federated Learning Vppﬂ: A veriﬁable privacy-preserving federated learning s cheme against poisoning attacks

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:51:52.057811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ce0d785e-6c31-4d6d-8ad0-9575e7bda84f · outbound

This paper cites Machine learning with adversaries: Byzantine tol erant gradient descent.

Client-Side Patching against Backdoor Attacks in Federated Learning Machine learning with adversaries: Byzantine tol erant gradient descent

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:51:52.024702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4d9e51d1-623b-4676-aff1-3bde8e2af7fd · outbound

This paper cites Fl- defender: Com- bating targeted attacks in federated learning.

Client-Side Patching against Backdoor Attacks in Federated Learning Fl- defender: Com- bating targeted attacks in federated learning

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:51:51.989146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2e18f081-ea0a-4686-ac44-a96445665666 · outbound

This paper cites Shield-secure aggregation a gainst poisoning in hierarchical federated learning.

Client-Side Patching against Backdoor Attacks in Federated Learning Shield-secure aggregation a gainst poisoning in hierarchical federated learning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:51:51.969366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b9b21132-571e-4e3d-8363-526fcb685e03 · outbound

This paper cites Cali- brating noise to sensitivity in private data analysis.

Client-Side Patching against Backdoor Attacks in Federated Learning Cali- brating noise to sensitivity in private data analysis

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:51:51.948496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a03f3dc9-ce15-49b9-98d8-50b836a64758 · outbound

This paper cites Lomar: A local defense against poisoning attack on federate d learning.

Client-Side Patching against Backdoor Attacks in Federated Learning Lomar: A local defense against poisoning attack on federate d learning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:51:51.924934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2921db73-baa6-42c6-b5e6-99c2f1557d9c · outbound

This paper cites FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping.

Client-Side Patching against Backdoor Attacks in Federated Learning FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T15:51:51.464270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6668b156-843c-4d54-bb4c-dab9340a021d · outbound

This paper cites Baﬄe: Backdoor detection via feedback-based fe derated learn- ing.

Client-Side Patching against Backdoor Attacks in Federated Learning Baﬄe: Backdoor detection via feedback-based fe derated learn- ing

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:51:51.904372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 07abf539-1732-4b65-b7a2-45dc3920c8f4 · outbound

This paper cites M aking federated learning robust to adversarial attacks by learni ng data and model association.

Client-Side Patching against Backdoor Attacks in Federated Learning M aking federated learning robust to adversarial attacks by learni ng data and model association

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:51:51.881331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e1f3ec46-44e0-445c-ab2b-832f1b423a13 · outbound

This paper cites Crowdguard: Federated backdoor de tection in federated learning.

Client-Side Patching against Backdoor Attacks in Federated Learning Crowdguard: Federated backdoor de tection in federated learning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:51:51.861905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ee7fb8d0-649c-4516-acda-b3d35d76f92c · outbound

This paper cites Toward resource-eﬃcient federa ted learning in mobile edge computing.

Client-Side Patching against Backdoor Attacks in Federated Learning Toward resource-eﬃcient federa ted learning in mobile edge computing

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:51:51.821484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 82cae3e1-9d27-4748-829f-dd9a80fd841b · outbound

This paper cites Mitigating Backdoor Attacks in Federated Learning.

Client-Side Patching against Backdoor Attacks in Federated Learning Mitigating Backdoor Attacks in Federated Learning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T15:51:51.496191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ac011eb-a322-457f-9478-eaad729b1226 · outbound

This paper cites Federated Unlearning with Knowledge Distillation.

Client-Side Patching against Backdoor Attacks in Federated Learning Federated Unlearning with Knowledge Distillation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T15:51:51.502127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cd1b5be-9de4-4dfa-9f50-40c05b31474a · outbound

This paper cites Adaptive machine unlearning.

Client-Side Patching against Backdoor Attacks in Federated Learning Adaptive machine unlearning

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:51:51.794691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a042577c-57cc-485b-89d9-773fede710d6 · outbound

This paper cites Sars: A personalized federated learning framework towards fairne ss and robustness against backdoor attacks.

Client-Side Patching against Backdoor Attacks in Federated Learning Sars: A personalized federated learning framework towards fairne ss and robustness against backdoor attacks

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:51:51.772868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dff2039c-b477-4096-8df6-95afef0d0d9f · outbound

This paper cites One-shot backdoor removal for federated lear ning.

Client-Side Patching against Backdoor Attacks in Federated Learning One-shot backdoor removal for federated lear ning

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:51:51.751395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.