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Paper Citation Record · LEDGER

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning

As of 18 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2506.20931.

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

pith.paper-citation-record.v1
2506.20931 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:43:43.727822Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

47 of 47 outbound references displayed

  • verified exact0
  • verified fuzzy40
  • unresolved6
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 500a2487-f002-4fce-832d-2756c70a2bb2 · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning Communication-Efficient Learning of Deep Networks from Decentralized Data,

Reference 1

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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.

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Observation b14be3ea-a5b1-49d6-9961-75c00ad1a6aa · outbound

This paper cites Fairness- aware federated learning framework on heterogeneous data distributions,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning Fairness- aware federated learning framework on heterogeneous data distributions,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:44.417037Z

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.

source=pdf_text observed=2026-08-06T22:43:43.524776Z digest=sha256:2efaafd63e0e91ec560a8a37201635718cd28f1dad9994fadeb76b78870bfdaa

Observation b68dedde-2d9e-4a82-b205-760aab28e2d9 · outbound

This paper cites Federated Learning for Mobile Keyboard Prediction,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning Federated Learning for Mobile Keyboard Prediction,

Reference 3

Resolution
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raw_fallback, observed 2026-08-06T22:43:44.402098Z

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.

source=pdf_text observed=2026-08-06T22:43:43.529854Z digest=sha256:30e0f5371e713a59ab6e804c676fdaa4db3e4830cbfcbbd8d0003f0170c95142

Observation cd0dd2af-d68b-40d8-8244-2831812f459b · outbound

This paper cites Private federated learning (neurips 2019 expo talk abstract),.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning Private federated learning (neurips 2019 expo talk abstract),

Reference 4

Resolution
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raw_fallback, observed 2026-08-06T22:43:44.386822Z

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.

source=pdf_text observed=2026-08-06T22:43:43.535604Z digest=sha256:d1b1d07ed68e1a5bf2e91834f5081e26b330b085ad3edfdf9f72239e673a7bc8

Observation a69addaf-8c4f-4e6a-aa2d-a1df9b75f399 · outbound

This paper cites Federated learning for open banking,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning Federated learning for open banking,

Reference 5

Resolution
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raw_fallback, observed 2026-08-06T22:43:44.371855Z

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.

source=pdf_text observed=2026-08-06T22:43:43.540100Z digest=sha256:621bd7b5051734a37ac02bd441419e97b2b08a34c5f9b04ea20cd004eb2cc965

Observation 0e95f33d-00a0-480f-b576-e6fdd9c8406e · outbound

This paper cites Multi-institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning Multi-institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation,

Reference 6

Resolution
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raw_fallback, observed 2026-08-06T22:43:44.356051Z

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.

source=pdf_text observed=2026-08-06T22:43:43.545214Z digest=sha256:909872dd88bf64999a1a7b6977688fb934cc51c4f1ca9265c997808325a809d5

Observation 52c7837e-5a70-4cad-8e83-16f78a32e6b4 · outbound

This paper cites Vertical fed- erated learning: Concepts, advances, and challenges,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning Vertical fed- erated learning: Concepts, advances, and challenges,

Reference 7

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raw_fallback, observed 2026-08-06T22:43:44.340095Z

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.

source=pdf_text observed=2026-08-06T22:43:43.551031Z digest=sha256:21b69d9263712a4302dc31d3fa18a0ad14f47ac532c46594870deba74a879598

Observation a24b5571-ca5a-46eb-bb5c-832c9baeba41 · outbound

This paper cites Towards instance-adaptive inference for fed- erated learning,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning Towards instance-adaptive inference for fed- erated learning,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:44.326435Z

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.

source=pdf_text observed=2026-08-06T22:43:43.555416Z digest=sha256:5ed13ea437153fc42c16fc851060fff35ab7da3d9c0ed515fa47375be6da7ba2

Observation c8167ebb-f748-47d8-a9a1-5aaf3b233c3a · outbound

This paper cites Label inference attacks against vertical federated learning,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning Label inference attacks against vertical federated learning,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T22:43:43.559841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:43:43.559841Z digest=sha256:45e4dba87402ebe2d06d4ad38c2ba3f0131dd3bcc9b5f7bb637e8e9526edc4dc

Observation b4a72e7f-e75f-4584-a8df-a6eb6c69ea95 · outbound

This paper cites Shieldfl: Mitigating model poisoning attacks in privacy-preserving federated learning,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning Shieldfl: Mitigating model poisoning attacks in privacy-preserving federated learning,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:44.301719Z

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.

source=pdf_text observed=2026-08-06T22:43:43.564047Z digest=sha256:600b16dc21e605a6d4218276a494706a783e263bcc90a89248960b91e60ad035

Observation e2d127be-1bc6-420f-8e17-ac53bb8db206 · outbound

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

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning Local model poisoning attacks to{Byzantine-Robust}fed- erated learning,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:44.287448Z

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.

source=pdf_text observed=2026-08-06T22:43:43.568328Z digest=sha256:272563479cc695df7f022e129d42f1f9329a9e8dbd4d2ccfee6090316db3bb47

Observation a66360b5-cde0-45cf-8979-d541b7c6a89f · outbound

This paper cites A3FL: adversarially adaptive backdoor attacks to federated learning,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning A3FL: adversarially adaptive backdoor attacks to federated learning,

Reference 12

Resolution
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raw_fallback, observed 2026-08-06T22:43:44.272109Z

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.

source=pdf_text observed=2026-08-06T22:43:43.572785Z digest=sha256:b9aa6e50c08763882f28f6149c617e6d4033ac494a89dabe2ed7a219a069d35c

Observation 36adc1ea-55bd-4424-8a98-ddd27ccde1cc · outbound

This paper cites How to backdoor federated learning,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning How to backdoor federated learning,

Reference 13

Resolution
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raw_fallback, observed 2026-08-06T22:43:44.257284Z

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.

source=pdf_text observed=2026-08-06T22:43:43.577069Z digest=sha256:bf4298fae5d145492e8308ea90b34636e5da998c3533fa7de4c4b1717f8d64d0

Observation 5decd334-5c6a-4bd0-8dd5-debfedb45e90 · outbound

This paper cites Neurotoxin: Durable backdoors in federated learning,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning Neurotoxin: Durable backdoors in federated learning,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:44.242579Z

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.

source=pdf_text observed=2026-08-06T22:43:43.581229Z digest=sha256:da6eabe8f11716af1ee22796e88bd01af84921676b94700dff96037b3ab75cdf

Observation b402cefa-c6e7-45cd-b506-25ba1659011c · outbound

This paper cites Chameleon: Adapting to peer images for planting durable backdoors in federated learning,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning Chameleon: Adapting to peer images for planting durable backdoors in federated learning,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:44.228106Z

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.

source=pdf_text observed=2026-08-06T22:43:43.586228Z digest=sha256:147a9f8a633d250123c30227e22e345fbec8c57427be5c45ee3b33ad2526223a

Observation a85ff799-3e9f-48cd-96a9-8f41e2e5ae4a · outbound

This paper cites Advdoor: adversarial backdoor attack of deep learning system,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning Advdoor: adversarial backdoor attack of deep learning system,

Reference 16

Resolution
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raw_fallback, observed 2026-08-06T22:43:44.214117Z

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.

source=pdf_text observed=2026-08-06T22:43:43.590296Z digest=sha256:4c00554e58662532f40f531504221d41083b48f6c81c23c7e8c370e0013f988a

Observation 888021ae-42c4-4856-bec4-1c14bf2a5803 · outbound

This paper cites DarkFed: A Data-Free Backdoor Attack in Federated Learning.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning DarkFed: A Data-Free Backdoor Attack in Federated Learning

Reference 17

Resolution
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no resolver link, observed 2026-08-06T22:43:43.594432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8c2e529a-ac2b-40a7-a583-9152c52af2cc · outbound

This paper cites Anti-backdoor learning: Training clean models on poi- soned data,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning Anti-backdoor learning: Training clean models on poi- soned data,

Reference 18

Resolution
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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.

source=pdf_text observed=2026-08-06T22:43:43.598918Z digest=sha256:09c1f9c5b49ec63b529b840185df948b1936e1363e9b033bca669aa25be3ebb8

Observation 3caa85f8-ada4-4637-b0b8-a17ed86b252a · outbound

This paper cites FLAME: taming backdoors in fed- erated learning,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning FLAME: taming backdoors in fed- erated learning,

Reference 19

Resolution
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raw_fallback, observed 2026-08-06T22:43:44.185295Z

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.

source=pdf_text observed=2026-08-06T22:43:43.603445Z digest=sha256:30463b74c91715b8a27ba14ffa8ed9fa66a3348e54814214536bf7c365eb749b

Observation d556a582-84e4-462a-bc8c-b40383ec78be · outbound

This paper cites Supervised contrastive learning,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning Supervised contrastive learning,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:44.171734Z

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.

source=pdf_text observed=2026-08-06T22:43:43.607800Z digest=sha256:c242c8abcd3c004c4bab3f6bbdd86d98ac16cee66e86769bb45587f15aca9a80

Observation 639dc58b-439e-437b-8b39-0fc1f331d285 · outbound

This paper cites BadNets: Evaluating Backdooring Attacks on Deep Neural Net- works,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning BadNets: Evaluating Backdooring Attacks on Deep Neural Net- works,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:44.158301Z

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.

source=pdf_text observed=2026-08-06T22:43:43.611849Z digest=sha256:50d7bdfeff65f0d6e2a83c6eb68e4122bdd3fe5b1f0354ebaebe353e8e98349e

Observation 40fe1464-7a88-4fa0-8e1b-bb54425441d1 · outbound

This paper cites Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

Reference 22

Resolution
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no resolver link, observed 2026-08-06T22:43:43.616491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:43:43.616491Z digest=sha256:72a422034e14f834a6d373d51929448ab8057cb0b12580996ea1dff00910706f

Observation 7d0c82a5-165b-48dc-975b-25421912ba56 · outbound

This paper cites Attack of the tails: Yes, you really can backdoor federated learning,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning Attack of the tails: Yes, you really can backdoor federated learning,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:44.143710Z

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.

source=pdf_text observed=2026-08-06T22:43:43.621346Z digest=sha256:e16a679f2e6893ce9133948abebbdec798942711c18ea5156d56c9c20793fd1f

Observation 6e5a17cd-4d39-4f8f-9d42-75c35a799f7d · outbound

This paper cites DBA: dis- tributed backdoor attacks against federated learning,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning DBA: dis- tributed backdoor attacks against federated learning,

Reference 24

Resolution
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raw_fallback, observed 2026-08-06T22:43:44.128570Z

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.

source=pdf_text observed=2026-08-06T22:43:43.625488Z digest=sha256:809f82af186fd68075189c196c820aedd1fa5a7eafb0cb8e4f9b753e0e3a9ea3

Observation 4c657106-1476-4b2e-8967-1271692b0be8 · outbound

This paper cites Towards practical backdoor attacks on federated learning systems,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning Towards practical backdoor attacks on federated learning systems,

Reference 25

Resolution
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raw_fallback, observed 2026-08-06T22:43:44.113721Z

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.

source=pdf_text observed=2026-08-06T22:43:43.629872Z digest=sha256:09cda9701c8b10c8aad919e034ea658e7c863abd02fb0081b39175422db05e23

Observation f8a82972-3429-4bea-8f5e-e981671dd003 · outbound

This paper cites On the vulnerability of backdoor defenses for federated learning,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning On the vulnerability of backdoor defenses for federated learning,

Reference 26

Resolution
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raw_fallback, observed 2026-08-06T22:43:44.097883Z

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.

source=pdf_text observed=2026-08-06T22:43:43.634681Z digest=sha256:72c4ba882ae1eae827305b361ef7814f81cec6d550f4e29cb11214b330244c83

Observation 37806b4e-7328-4b3c-87ce-fd1a448b69ae · outbound

This paper cites 3dfed: Adaptive and extensible framework for covert backdoor attack in federated learning,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning 3dfed: Adaptive and extensible framework for covert backdoor attack in federated learning,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:44.083304Z

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.

source=pdf_text observed=2026-08-06T22:43:43.638776Z digest=sha256:c08d8c05bd0e0c61324272b284139752fb5369edaa30bd9a5d1f3e0b8dd08d56

Observation 70233877-1bcf-4071-813c-d47b8d8a98ec · outbound

This paper cites Poisoning with cerberus: Stealthy and colluded backdoor attack against federated learning,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning Poisoning with cerberus: Stealthy and colluded backdoor attack against federated learning,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:44.068741Z

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.

source=pdf_text observed=2026-08-06T22:43:43.643133Z digest=sha256:2afff977a47ae38b56304ad58f46e9969f28c777039917f1be5c59afab6e47b4

Observation 3e5d7881-7ab5-4f29-b8aa-b51e38da8774 · outbound

This paper cites Machine learning with adversaries: Byzan- tine tolerant gradient descent,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning Machine learning with adversaries: Byzan- tine tolerant gradient descent,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:44.054029Z

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.

source=pdf_text observed=2026-08-06T22:43:43.647575Z digest=sha256:1038159a21d7a45a5b393309f621c68da51fc202a7edec4a1016157c20cf134e

Observation 1a1a28fb-885b-47e1-9dee-83ef17864e1e · outbound

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

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning The limitations of federated learning in sybil settings,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:44.038903Z

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.

source=pdf_text observed=2026-08-06T22:43:43.652215Z digest=sha256:31cf62e3412501b09dea29484b651a30d2575060694ab976c045cb5a4f45422b

Observation b858e26c-252f-4ea1-b813-0b5b144af66f · outbound

This paper cites RFLBAT: A Robust Federated Learning Algorithm against Backdoor Attack.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning RFLBAT: A Robust Federated Learning Algorithm against Backdoor Attack

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T22:43:43.656832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:43:43.656832Z digest=sha256:d0714f350fade602887e6f0d6d58613f9946ea6ca28d72fd4de1d8bf97b6214d

Observation 20405fc4-4e56-43a5-9a2e-90e27e7732e6 · outbound

This paper cites Deepsight: Mitigating backdoor attacks in federated learning through deep model inspection,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning Deepsight: Mitigating backdoor attacks in federated learning through deep model inspection,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:44.025315Z

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.

source=pdf_text observed=2026-08-06T22:43:43.661709Z digest=sha256:0202ea4b43a5b5ed0c8a82dc3d0206e20afb40abbd42e2f6c2f2821db95e5504

Observation 14637986-4b90-42f1-b3dd-4d975f188003 · outbound

This paper cites BackdoorIndicator: Leveraging OOD data for proactive backdoor detection in feder- ated learning,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning BackdoorIndicator: Leveraging OOD data for proactive backdoor detection in feder- ated learning,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:44.010042Z

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.

source=pdf_text observed=2026-08-06T22:43:43.666067Z digest=sha256:450d6a3627d043167e87a73571a6eaa050c76f08738f55a8176aa2389395ca7b

Observation cb773991-8b2a-49ae-91ef-68d73722f5cc · outbound

This paper cites Crfl: Cer- tifiably robust federated learning against backdoor at- tacks,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning Crfl: Cer- tifiably robust federated learning against backdoor at- tacks,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:43.996066Z

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.

source=pdf_text observed=2026-08-06T22:43:43.670079Z digest=sha256:0b415b46f3243e78c2971b05919bb00abb72ff4a1bf69b479a5edc4fdd99b720

Observation 64c53a97-c4fe-495e-99c0-c903892ca368 · outbound

This paper cites De- fending against backdoors in federated learning with robust learning rate,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning De- fending against backdoors in federated learning with robust learning rate,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:43.981476Z

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.

source=pdf_text observed=2026-08-06T22:43:43.674112Z digest=sha256:99c61fbf88abf78036c5f5fd5db8755cb7c560ec21b62488e45d67808940c959

Observation 42e81e84-9b34-4245-a61d-35e45abe3a55 · outbound

This paper cites Attack of the tails: Yes, you really can backdoor federated learning,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning Attack of the tails: Yes, you really can backdoor federated learning,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:43.967396Z

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.

source=pdf_text observed=2026-08-06T22:43:43.678874Z digest=sha256:14ca99c1ff6eeeca9c9b5d343da9a8ab7fa6e30b46ac7e361cec591974899121

Observation 81e73f1a-a210-4507-bb55-9cd2bad37628 · outbound

This paper cites DRUPE: Distribution Preserving Backdoor Attack in Self-supervised Learning,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning DRUPE: Distribution Preserving Backdoor Attack in Self-supervised Learning,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:43.952143Z

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.

source=pdf_text observed=2026-08-06T22:43:43.683819Z digest=sha256:3dcc71af761cecd2750979bf21bb04454d61a35cb691a9a24d206e49968c5fa9

Observation 4008b8c0-69b2-4f79-8465-3f1706b06f21 · outbound

This paper cites Backdoor attack with imperceptible input and latent modification,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning Backdoor attack with imperceptible input and latent modification,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:43.934617Z

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.

source=pdf_text observed=2026-08-06T22:43:43.688245Z digest=sha256:0e1ece21a6b43b3c1ebbebb7a1475ce5df38a21da26e1c90764b83aa72dfc650

Observation 0a9f25bc-5376-42a3-a76a-6735c9848539 · outbound

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

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning Learning multiple layers of features from tiny images

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:43.920161Z

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.

source=pdf_text observed=2026-08-06T22:43:43.693011Z digest=sha256:278e152178f139b1f11e0b673d2c5d0838df61c711d7567667ce0b0354b0dee1

Observation ef810302-1612-4a00-85ff-720ce437726b · outbound

This paper cites Detection of traffic signs in real-world images: The german traffic sign detection benchmark,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning Detection of traffic signs in real-world images: The german traffic sign detection benchmark,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:43.905164Z

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.

source=pdf_text observed=2026-08-06T22:43:43.697267Z digest=sha256:fdfe54c15312ebf7dce68873532440b44d0da54e1a8a29377398e93c46364732

Observation 2b876747-47ce-4fb0-89f9-3d966f43daba · outbound

This paper cites Deep residual learning for image recognition,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning Deep residual learning for image recognition,

Reference 41

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T22:43:43.890380Z

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.

source=pdf_text observed=2026-08-06T22:43:43.701443Z digest=sha256:cc9ec995254fde4e0a7d4463a0520b37b05252e66358f11fd099c9a39e920422

Observation 76d214b7-c45e-49ac-9474-dca2959f5233 · outbound

This paper cites Very deep convolu- tional networks for large-scale image recognition,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning Very deep convolu- tional networks for large-scale image recognition,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:43.876637Z

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.

source=pdf_text observed=2026-08-06T22:43:43.705912Z digest=sha256:3233c2251d7964d13d7f1885f70dc1d34d5343069005d1390879a558c0776282

Observation c00b4ad7-0f1f-4a1d-8505-396be2c260c1 · outbound

This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning Mobilenetv2: Inverted residuals and linear bottlenecks,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T22:43:43.710396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:43:43.710396Z digest=sha256:56ea58528ca3fab844ca276bdbc18bf649bbff8f71381c7b72b6ca306afdfffa

Observation 5aecd4d0-b021-4efb-9f13-aa69a51064a7 · outbound

This paper cites Data-free knowledge distillation for heterogeneous federated learning,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning Data-free knowledge distillation for heterogeneous federated learning,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:43.853035Z

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.

source=pdf_text observed=2026-08-06T22:43:43.714640Z digest=sha256:4291003c9f6ee6e02fb439e76582348348d77171075b739b38372e62272ff24e

Observation 4282127d-80d6-4c0f-9b71-4bdab57d40d9 · outbound

This paper cites BadCleaner: Defending Backdoor Attacks in Federated Learning via Attention-Based Multi-Teacher Distillation,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning BadCleaner: Defending Backdoor Attacks in Federated Learning via Attention-Based Multi-Teacher Distillation,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:43.838706Z

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.

source=pdf_text observed=2026-08-06T22:43:43.718958Z digest=sha256:b9195d2d647611c6809dfdefef98d81ab3e038f678a715d33b458c3e4312fa91

Observation baf6ef8a-0985-416a-a2a7-88c8382e1bd5 · outbound

This paper cites FLPurifier: Backdoor Defense in Fed- erated Learning via Decoupled Contrastive Training,.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning FLPurifier: Backdoor Defense in Fed- erated Learning via Decoupled Contrastive Training,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:43.823950Z

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.

source=pdf_text observed=2026-08-06T22:43:43.723239Z digest=sha256:c30ba2e4978b7b21ee6662fa08ad2cef6375e3e2348cd14a372853920d02ac05

Observation a19eebd9-374f-49d3-8492-5519238dfce5 · outbound

This paper cites Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification.

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T22:43:43.727822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:43:43.727822Z digest=sha256:7dce44c31242cf9524a331ca1a51ba08113443627b5940b4dfe65fc81e5ddff0

Pith citing papers

No inbound Pith citation observations are available.