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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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

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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 2026-08-10T06:31:04.303077+00:00.

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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

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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 2026-08-10T06:31:04.303077+00:00.

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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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.535604Z digest=sha256:8e63a81f905a5792cbb75ea465a99498b3bafcf01ed6a44f2878eca66643c3d7

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.540100Z digest=sha256:ae5724365aa6c8be0d8d03e458f601c4f87fc0b9ffa7ad7a4529a01c4c465436

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
verified fuzzy
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.545214Z digest=sha256:4c101113c98d9d111db66bd6594c3d839f75deed42988725a256d0907d557dc5

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.551031Z digest=sha256:0f1c8988e729fe9bb62d608b181774e37c64379c073ead74fe0b9c325438addd

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
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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.555416Z digest=sha256:95a08fe664c67365de465d28287b6c895c7681fc594fb6b119329e58ffe6521f

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:a077e2ec4b70cc5b2f9c3a825898b2b944901c160d4c22a5634497b9be614a43

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
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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.564047Z digest=sha256:e55d984c4430a9fed5d2303bf6a3602b6685c90d4c335791e6441ce13cb6f84c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.568328Z digest=sha256:a2ca4a0cf31507084fafc382388dca373caeca43f6a039c502ac09e5c4e692fa

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
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.572785Z digest=sha256:16ec39f9436c7d22731d85317f2cfa70f5ee75d6abb596e5a2ad26c3e5e1376f

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.577069Z digest=sha256:f38a2c54cf437bc6efc5cddcf96fb54fffc4c72b27815c8ed167ddd618d70afa

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.581229Z digest=sha256:5a3e7b5d57693202111b461f655c319d23fdc508429e20286abd2d502a4fd316

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.586228Z digest=sha256:6166ea7f7f3ded61b5a598fbb4132d82f1969dd32b816905445018c60e77d662

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.590296Z digest=sha256:318872b8f23fbea645c76cfbaafb6d9c1b426512e700bfceeb9168bfeb2a7385

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.598918Z digest=sha256:08e6e5d4d3c1472dda3db816617697ba5f141e771d2f69d67c508e57d919ccdb

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.603445Z digest=sha256:f475f6c8e5781fe08212c91d7725c822f82170410f485de75dfa288b6cc09942

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
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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.607800Z digest=sha256:98101cd5a0000b8b31c78a1b8ccb6a388730ff54c63bbee84509892bd240ae82

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
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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.611849Z digest=sha256:f0b211d3721b93ea2df4be61546dd6080f3377a5b82465bfdacbc994a319ea17

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:43:43.616491Z digest=sha256:cfbb40ae08b4b0cb65c528964f728b7a71204063a70e60acf9afaac492dc057a

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.621346Z digest=sha256:defb42f437239787c7d4a42164c4959dcc3d22ee293a74503535bef3eb144045

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.625488Z digest=sha256:2d67da5e0496946017c40b38fe091868633ef01daf302166a6876466636a3d7f

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.629872Z digest=sha256:4751d4fe7b1cb9d0dae2358479704219da3af8de0e83f5063855bd0d488fd09b

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.634681Z digest=sha256:8deac1ba8942038e661eb8a5be402c545f16fe615ccfa9d6b4a56bf83f2f95e8

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
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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.638776Z digest=sha256:fd527322204678e87fb5237bc5cdd9995552ba944c7d3f02eaa120eaf11f6a3e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.643133Z digest=sha256:da89023fa3b327c067558c2b4877aa60d4815a77230f5f18e1a84a1393ffb5e3

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.647575Z digest=sha256:9cb093b2f82eae3fa7ccaf4d88ab0cd442df92a855989f16da2183fdc2d9c3d4

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.652215Z digest=sha256:8569dac237b10b100670ae39c354a0267447326555d208bd1c39ee9beb46a97a

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=sha256:7da08f396c083fed1c42906775bf1c99d9c7279eee746f8b01dfd7391f81b93a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.661709Z digest=sha256:7344c34286cec823df1e9953fb88490e3884604eb19e2813691f9fd1f8d0db0b

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.666067Z digest=sha256:7a2d436398788e3265815be09d7729a389910537748e303b6452652cef3368de

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.670079Z digest=sha256:d327b32d0c3973adc447e3d998f44673ab29fdd545e0b940f1b21d0a0095b673

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.674112Z digest=sha256:50bf740f3d900a585fb09a2e7bce1c619b2cce71078e8f50caa11503628620fa

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.678874Z digest=sha256:5c06862bdb69dcaba65f171adbae0384f6a8dd8dc8083bc4ee54c3062a31058f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.683819Z digest=sha256:15fa6392a326cf2ea22b6c40aa4c03b2eddec61d34f671e563eb0006537d47ff

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.688245Z digest=sha256:243c0a4d164744e1c95e7722befb9af5e3e00e1037dc219d02d7f23c900e0fd5

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.693011Z digest=sha256:1bfa759fe1fc7f34be835be2bce9ccfc39e4abfe7020b7be0d1183cc17f55bc1

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.697267Z digest=sha256:305e3f1969229151e942766e449319043204e29892076ab106efea44bff1dec7

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.701443Z digest=sha256:deb49035c2eba54110c189eecd0cea9fea82bd366537b46e9b96d0d0697cf712

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.705912Z digest=sha256:ba84bbd15ce059025fe28b3c40f541e7d45e22d294f04d4ef7e495ae058a61cf

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:b77fd95ee18934f28d68ba51561fedbb00239c1b847ad9b3d6e5b8bf049329fe

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.714640Z digest=sha256:5b5733fd10c84f18ffc946116ef1805ceff9f8e598b4cf7f190ec1ec1f839850

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.718958Z digest=sha256:5475c19e5ac817da1e3da33219a32c6fc798e323bcd7e019e9b7c38613b9e561

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:43:43.723239Z digest=sha256:cb1068d2db0d96f1cb226589ed6da3b58dae69b1dcfcd384400b79bb6107f666

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:a1ee706112a4934a6c2a6b5ad66edf32903d6b86d7a1bcbd18d3fb059da5b195

Pith citing papers

No inbound Pith citation observations are available.