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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.529854Z digest=sha256:cc95c3952690725b4d12f4428fb3c113dfdee705b90e031aa349cb250ca66819

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.535604Z digest=sha256:0aa2a22ad2d8689225174f6da28050eb389c577fb0dccb9dc163cb93d77b242f

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.540100Z digest=sha256:013b1c15b0c2f113282c8f3dfef5cd4489ab53c80a5bef56db9c15d9e42ed0cb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.545214Z digest=sha256:38adffe079c2efb13e3bc47e1861452876631df00803d13465ffb4ea294d0f22

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.551031Z digest=sha256:3c01cec05bbf0663b6b1d55527422cf09de02e03bec55908681a6cb182574ac1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.555416Z digest=sha256:1a254ca101c5438453483d16ad14d25690e30873213ef820d02bc9da450f63ad

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
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.564047Z digest=sha256:847940725eb87b3db692d15ef2412d0a6662b318782401c2c06036ca360f108e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.568328Z digest=sha256:0860790e6e50e1aaf92eb1a961d41f5c6e33664b4e5c884a221dd4567853ad65

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
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.572785Z digest=sha256:6f847c66fb74346cdb09ca658166c8b9d8f3150de3ab7fbf16e593aad634f074

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.577069Z digest=sha256:9af362830420df24adcd1b5f1c6d18804c08efd2d0b9dc0c4e9061aeea04c2b3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.581229Z digest=sha256:e1d8778f6ac6c3ba3102714eefb56c89088a00a59bdfce562d0b1c2b8fbe9972

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.586228Z digest=sha256:aff913d10a2b86e28dddd0b8f8dca1f5db364ed3c061d51688543dc606c858d9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.590296Z digest=sha256:f2cedc595e1468dcc5f35ad187fd81924aff6dedeace1c2251f5fd37bc8828ed

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.

source=pdf_text observed=2026-08-06T22:43:43.594432Z digest=sha256:ee95933c000839de6258f2ddeaa306d2c3b749cac3e6451afd57517e9a9c106d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.598918Z digest=sha256:2adb176f842768fd67ae1f13e21c88aab63a3432124689dcedc16b1e130ac203

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.603445Z digest=sha256:37e0e814e024cff833373688135082b254bc15ccc179fedb58e3fe996c1b1c79

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.607800Z digest=sha256:a28eb868f88c0d6d96f47c9007b714f7349e1bfa87429c98c58175403102e2ea

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.611849Z digest=sha256:92b3c5e46406b636aa73ee634987cf3d91724af27aaf732e111062499f5e544f

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: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

Resolution
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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.621346Z digest=sha256:5f287b9f2fbf46555f60b830a42f799ba8baabdef87f4b05f59f373a202776a3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.625488Z digest=sha256:bb362be7bc233bbcd0d5985d72f1c713ab3585de0d532b2ef6fbd21e7b388dc7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.629872Z digest=sha256:a865b47c2ac640aae4af529a76498b972a10c8ee8e2174fcb4bfb830369bb65e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.634681Z digest=sha256:7c84c04e94674bf2a08e7bc230a725a9ed807862cf7930628aa1bae89fe02e96

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.638776Z digest=sha256:6cf245eea26a40b8203550d3e5f151ae5f7e1ae53a8fd9e7a8f291d7f47cc470

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.643133Z digest=sha256:9c6134c064977ce6c6848ff337a2563265b7cd241c434ae4d0bfe76c35828132

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.647575Z digest=sha256:8203c3fe846f3889e2f0c10624ca42afa7a6adc2db641174edb7104223cc2363

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.652215Z digest=sha256:b998dab8f3528969653457fd4190521594bfb96f4f4bbbf09b71336985635b54

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.661709Z digest=sha256:f1cbaaf3b51945ccdedb124d06475acc68ad0b9a3adc1536e1fa63e07fa51bd0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.666067Z digest=sha256:7dca27eb0768ee5325d4407b4c815f122ddf8613050205d97889b68f4c3b3ccf

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.670079Z digest=sha256:952981ea432f06f7c0f3d9565c5654276d5875e496a2ddd2614eaac2c90ba872

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.674112Z digest=sha256:b7df8b5568bc18a404fee5e8c80a729371a5368cf6d58f39afecec21198dd9d0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.678874Z digest=sha256:a055ef2097e5ea240f38e7511ab9bee51735d27d7c2332bc5ec3e71de9340546

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.683819Z digest=sha256:69b812c90aa50613bb69dd4c39baa93691cccd9474a44c870d6a32ab92b9c4e0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.688245Z digest=sha256:31da66353cf8124758922969c8c09778b727b50d97e4a310bdb5317ee73a42bf

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.693011Z digest=sha256:8612d0ef349c261532eea8ca5d49639cda9066ed4ebedd47afbeda2a81a3084a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.697267Z digest=sha256:1b58d00c02e68c0ebb375fc9279523dd1339d7ce47e939b2395d7363fb361475

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.701443Z digest=sha256:1ea026ff43d56c1f645f8efa9ce087c1fa002669f652f7f4dc2c3dbd438d18da

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.705912Z digest=sha256:72305a9ae8034639b35259631ceec4588858807ab7c27e1d5401fa55007ca17d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.714640Z digest=sha256:e6a2a18c118f158d4ab9b2635dcf912d62fb0632dd739de5890141c062d6c8a6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.718958Z digest=sha256:ea318b1dcb304806e74aa875ca1291608844911cbe8434960d9553a099b0fea7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:43.723239Z digest=sha256:1bb950f1a9434bc6500d9833520c0f03a3a24a481dd65f704ea3a185ec07d529

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.