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Paper Citation Record · LEDGER

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning

As of 20 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 1 inbound Pith citation observation for arXiv:2412.17740.

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

pith.paper-citation-record.v1
2412.17740 v1

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:18:22.224690Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:57:00.543598Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:57:00.576146Z

Reference resolution

68 of 68 outbound references displayed

  • verified exact3
  • verified fuzzy54
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bc4a83a1-bf19-415f-a982-e74e9fd79c13 · outbound

This paper cites Attacks on Robust Distributed Learning Schemes via Sensitivity Curve Maximization,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Attacks on Robust Distributed Learning Schemes via Sensitivity Curve Maximization,

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 9a90b12c-7d22-47e7-8a3a-b9a03a0e7327 · outbound

This paper cites Networked Signal and Information Processing: Learning by multiagent systems,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Networked Signal and Information Processing: Learning by multiagent systems,

Reference 2

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raw_fallback, observed 2026-08-11T05:18:25.983457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d072386a-76db-48e3-895e-a400d844b0cb · outbound

This paper cites an unresolved cited work.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Unresolved cited work

Reference 3

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ab7be846-5a7e-4ff9-bb87-01abba2f5ebb · outbound

This paper cites Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-11T05:18:25.761277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:21.919111Z digest=sha256:dd10c82841ead990e743d32687a588a3d1b53770e38df4471cd0650b150360a7

Observation f3829944-3dbb-46a2-92c7-75f7e91129dc · outbound

This paper cites Multitask Learning Over Graphs: An Approach for Distributed, Streaming Ma- chine Learning,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Multitask Learning Over Graphs: An Approach for Distributed, Streaming Ma- chine Learning,

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-11T05:18:25.626326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:21.924924Z digest=sha256:b3e399fbbcf0d1917f24a1176f26db90515c237d218461adb9ccf372fb3546c4

Observation 4b98f08f-8262-4e43-bb6a-97fd870b6ed2 · outbound

This paper cites The Byzantine Generals Prob- lem,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning The Byzantine Generals Prob- lem,

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-11T05:18:25.609711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:21.930473Z digest=sha256:ec005196bd330e603593cc48355786982a75befe89479a1cfaaf15d4b149194d

Observation 82807941-a937-4b86-a127-5e2da17b5591 · outbound

This paper cites Byzantine Machine Learning: A Primer,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Byzantine Machine Learning: A Primer,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:21.936311Z digest=sha256:51be7a082be5a91214ebb14e4af0ad85fed144b191be47ec30762ebd952a0ffa

Observation 55a201f5-c5ac-4811-b64c-549c41998df7 · outbound

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

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Communication Efficient Learning of Deep Networks from Decentralized Data,

Reference 8

Resolution
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raw_fallback, observed 2026-08-11T05:18:25.337914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation c1ad4f3e-2387-4016-9502-b82b3cf19347 · outbound

This paper cites Federated Learning Under Impor- tance Sampling,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Federated Learning Under Impor- tance Sampling,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:18:25.320116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:21.945231Z digest=sha256:ad0437f66454279f39f716de6b6c5c45af1a57db12f4509c85169d0a092d1dbf

Observation 760ee2f3-3e3f-4baa-9e9d-421f863b8f70 · outbound

This paper cites Federated Learning of Tensor Generalized Linear Models with low Separation Rank,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Federated Learning of Tensor Generalized Linear Models with low Separation Rank,

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation e93b900a-c10f-4f1f-9692-84ad51a89eaa · outbound

This paper cites Distributed Learning in Non-Convex Environments—Part I: Agreement at a Linear Rate,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Distributed Learning in Non-Convex Environments—Part I: Agreement at a Linear Rate,

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation a143c4a5-6074-4f2c-9f13-386276f9f126 · outbound

This paper cites Mean Aggregator Is More Robust than Robust Aggregators under Label Poisoning Attacks,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Mean Aggregator Is More Robust than Robust Aggregators under Label Poisoning Attacks,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 62367861-c33b-4f18-b3b4-144b7db63d18 · outbound

This paper cites Byzantine-Robust Dis- tributed Learning: Towards Optimal Statistical Rates,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Byzantine-Robust Dis- tributed Learning: Towards Optimal Statistical Rates,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:21.964458Z digest=sha256:62b6d94a0a524d9b662eb61e6e1def10f3772d781995efcc169c2d8a8170903a

Observation d859d062-a0d9-4b43-aa5e-ab066efa474a · outbound

This paper cites Byzantine-Tolerant Machine Learning.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Byzantine-Tolerant Machine Learning

Reference 14

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unresolved
no resolver link, observed 2026-08-11T05:18:21.969525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6e212a19-3306-4ffa-91ac-8b1f3c56a2ee · outbound

This paper cites Robust Aggregation for Federated Learning,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Robust Aggregation for Federated Learning,

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b5d5e0a7-6080-4318-83c4-f6f7561de527 · outbound

This paper cites A Huber Loss Minimization Approach to Byzantine Robust Federated Learning.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning A Huber Loss Minimization Approach to Byzantine Robust Federated Learning

Reference 16

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 1db68fb6-29ec-467a-84c1-0c3ac67dd32e · outbound

This paper cites Mixed Nash for Robust Federated Learning,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Mixed Nash for Robust Federated Learning,

Reference 17

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 04333dff-8d25-4ae3-94ce-f9a0b018aa8d · outbound

This paper cites MixTai- lor: Mixed Gradient Aggregation for Robust Learning Against Tailored Attacks,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning MixTai- lor: Mixed Gradient Aggregation for Robust Learning Against Tailored Attacks,

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 71389853-45fc-45ef-83f1-ae98513ed259 · outbound

This paper cites Byzantines Can Also Learn From History: Fall of Centered Clipping in Federated Learning,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Byzantines Can Also Learn From History: Fall of Centered Clipping in Federated Learning,

Reference 19

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raw_fallback, observed 2026-08-11T05:18:24.909511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation c0923717-61ee-4a8f-b0fb-629602089a9d · outbound

This paper cites Byzantine-Robust Federated Learning with Variance Reduction and Differential Privacy,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Byzantine-Robust Federated Learning with Variance Reduction and Differential Privacy,

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-11T05:18:24.892864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 4e415a52-89dc-4591-bdbf-a44902696d6c · outbound

This paper cites Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top

Reference 21

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no resolver link, observed 2026-08-11T05:18:22.002434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:18:22.002434Z digest=sha256:f29a564af95b616955d8c4bfc7b7914e882df50c7677a6fc4c8a62741313ceed

Observation 0ab92b4b-4922-44dd-acba-c1719f9e60ce · outbound

This paper cites Learning from History for Byzantine Robust Optimization,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Learning from History for Byzantine Robust Optimization,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ca27ec3a-3566-434c-9aa2-516b6b0be9fb · outbound

This paper cites Survey on Federated Learning Threats: Concepts, Taxonomy on Attacks and Defences, Experimental Study and Challenges,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Survey on Federated Learning Threats: Concepts, Taxonomy on Attacks and Defences, Experimental Study and Challenges,

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-11T05:18:24.861903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 284a0261-aa55-40cf-bedb-c478a3add07c · outbound

This paper cites Reviewing Federated Learning Aggregation Algorithms; Strate- gies, Contributions, Limitations and Future Perspectives,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Reviewing Federated Learning Aggregation Algorithms; Strate- gies, Contributions, Limitations and Future Perspectives,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:18:24.774795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.017042Z digest=sha256:c756721ebc007f68838489906a094291d78b61bbb030e115d21d1d03df48e886

Observation bf852b78-f4ce-4b93-b635-8c6c81399ab2 · outbound

This paper cites On the Pitfalls of Security Evaluation of Robust Federated Learning,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning On the Pitfalls of Security Evaluation of Robust Federated Learning,

Reference 25

Resolution
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raw_fallback, observed 2026-08-11T05:18:24.731518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.021692Z digest=sha256:0fe70053c5073e80fa29bbead62caefadda0e80bc3fbc82951ff7d1316eac746

Observation c64e3eb2-17a5-49ba-af6c-853b87d334ea · outbound

This paper cites Distributed Online Optimization with Byzantine Adversarial Agents,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Distributed Online Optimization with Byzantine Adversarial Agents,

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-11T05:18:24.716279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.025936Z digest=sha256:50fc562209cade5e92a6de852a4337b7f02f38237481795809f73d3397c3a9d6

Observation 1f585efe-42da-42cc-b487-3186122d85cd · outbound

This paper cites ByRDiE: Byzantine-Resilient Distributed Coordinate Descent for Decentralized Learning,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning ByRDiE: Byzantine-Resilient Distributed Coordinate Descent for Decentralized Learning,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:18:24.700544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.030723Z digest=sha256:ea430e2224184b1d5f7c8b5bbf0ac0af38c0705637c0157c93ac9ab56b1c6035

Observation 101e11e5-5bb8-4add-88bc-1761cac52497 · outbound

This paper cites BRIDGE: Byzantine-Resilient Decentralized Gradient Descent,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning BRIDGE: Byzantine-Resilient Decentralized Gradient Descent,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:18:24.549701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.035599Z digest=sha256:cdafd4823a3fe63ca290e6cade7e4a7fb0b8abd5becd48a1af5bf6fb3c56b458

Observation e2b3e5c0-c897-4504-90a4-2d86384dc0bb · outbound

This paper cites Byzantine-Robust Decentralized Learning via Remove-then-Clip Aggregation,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Byzantine-Robust Decentralized Learning via Remove-then-Clip Aggregation,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:18:24.489956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.040303Z digest=sha256:c828a2c13c4730fdc2d513db92ea3786f1899a30853db2b8c6048a27d59f2b7c

Observation 991819ad-7ce6-4e44-a60e-2621b12c3431 · outbound

This paper cites Byzantine-Robust Decentralized Learning via ClippedGossip.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Byzantine-Robust Decentralized Learning via ClippedGossip

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T05:18:22.046031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:18:22.046031Z digest=sha256:e930052589318373431c44e6710025d0b69c2a900c4bcb797afcbe30e95f2101

Observation 35c5e864-e238-451e-b7c6-4f7786c26a1a · outbound

This paper cites Privacy-Preserving Aggregation for Decentralized Learning with Byzantine-Robustness.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Privacy-Preserving Aggregation for Decentralized Learning with Byzantine-Robustness

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-11T05:18:22.050757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:18:22.050757Z digest=sha256:e47ecf0133f566d4381dd5c521e0c043f03f532db03cd734b627f8db35317a08

Observation e6e65177-f425-4542-8566-4b8dee9fe8fa · outbound

This paper cites Byzantine-Resilient Decentralized Stochastic Optimization With Robust Aggregation Rules,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Byzantine-Resilient Decentralized Stochastic Optimization With Robust Aggregation Rules,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:18:24.474337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.055864Z digest=sha256:9d6424e834aa7040a1db3f588bb187e5ac600f5683252b8d484f8e73c3e6c1a9

Observation 2a5777d5-7420-4e9d-b0df-810cf0303eca · outbound

This paper cites Secure Distributed Optimization Under Gradient Attacks,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Secure Distributed Optimization Under Gradient Attacks,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:18:24.457901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.060687Z digest=sha256:c14c2c73f53694cc9f3c052f15cc08265484847fb44411c3af97a7ff9dd4ae62

Observation 706c07d8-fbb7-4290-9b8f-2a06e41e37c7 · outbound

This paper cites Robust and Efficient Aggregation for Distributed Learning,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Robust and Efficient Aggregation for Distributed Learning,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:18:24.403723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.065604Z digest=sha256:facbe19d012f85b27cd9d171300018a652bb570dd89986382122972aa366cd7b

Observation be128fbe-8c20-46ad-a794-28c38f390e26 · outbound

This paper cites Robust M-Estimation Based Distributed Expectation Maximization Algorithm with Robust Aggregation,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Robust M-Estimation Based Distributed Expectation Maximization Algorithm with Robust Aggregation,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:18:24.296257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.070451Z digest=sha256:ccf76dd64c764dd01d90d76cb2ab28f26c896384815dd60ff6776cb43959febf

Observation 3ddf22e8-a162-4b9b-b03e-cfab0019d756 · outbound

This paper cites Robust Network Topologies for Distributed Learning,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Robust Network Topologies for Distributed Learning,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:18:24.281218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.074921Z digest=sha256:feb04ceafdaf21eb2b429b0f291ea021c8e0d766a08b207d7ed426f26f9d623c

Observation 09d2bfe1-60c8-4563-98bb-c8eb837cac11 · outbound

This paper cites Local Model Poisoning Attacks to Byzantine-Robust Federated Learning.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Local Model Poisoning Attacks to Byzantine-Robust Federated Learning

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-11T05:18:22.396629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.079147Z digest=sha256:8d2b8231ee8de3b5d2dd03be7a6ad9a73bdb0f904009325dd9e1de548608a4d1

Observation 38ccdf00-2358-48da-9248-92aad6a4d308 · outbound

This paper cites Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses for Federated Learning.,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses for Federated Learning.,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:18:24.265454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.084486Z digest=sha256:906b0260e2816648c33bb9ab41bdb6ed9c332a77fa26da1cbdfcc47fd1d4147b

Observation d8cec554-65e8-46c5-8065-4fd0e2353062 · outbound

This paper cites Attack of the Tails: Yes, You Really Can Backdoor Federated Learning,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Attack of the Tails: Yes, You Really Can Backdoor Federated Learning,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:18:24.249518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.088994Z digest=sha256:226ef3febd599ea8828d5812346c6f4da30b8ca3c4a95936c3fbe29d1e11a8aa

Observation 2ebf84f7-8e93-4a5e-b954-d6c4f61915e7 · outbound

This paper cites On the (In)security of Peer- to-Peer Decentralized Machine Learning,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning On the (In)security of Peer- to-Peer Decentralized Machine Learning,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:18:24.083345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.093489Z digest=sha256:67b910d575df313825f8a0d4d87f36ddeee4f3123bf07212054dde6c91b34e67

Observation cccacdfa-c68d-44df-830d-ff978122d817 · outbound

This paper cites Generalization Error Matters in Decentralized Learning Under Byzantine Attacks.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Generalization Error Matters in Decentralized Learning Under Byzantine Attacks

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-11T05:18:22.302496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.097893Z digest=sha256:ef5d5428af07a8a338553537ee5251ea35c7eb065f75d4dd467957d851f8ac79

Observation 3877f10d-bf53-4c7d-a9d1-8e177419b52c · outbound

This paper cites Fall of Empires: Breaking Byzantine- Tolerant SGD by Inner Product Manipulation,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Fall of Empires: Breaking Byzantine- Tolerant SGD by Inner Product Manipulation,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:18:23.816556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.102725Z digest=sha256:bb41b579173ec0e261ac1f7f09c3fabaa4bcaf865313d000f6f1dc61e014ef38

Observation 5ed97dfa-24fb-4e88-a6db-dfd81dffab94 · outbound

This paper cites A Little Is Enough: Cir- cumventing Defenses For Distributed Learning,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning A Little Is Enough: Cir- cumventing Defenses For Distributed Learning,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:18:23.802153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.107945Z digest=sha256:ac5bf364d529f0a41be0d2b45b4c58dcb0e03f71e7340e2439842c25f3cf6c95

Observation ded3354d-6013-408e-aef4-e329af8bb77c · outbound

This paper cites Threats to Federated Learning,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Threats to Federated Learning,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:18:23.785331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.112651Z digest=sha256:001a15664c6163630fdf6cf1dcc480f24f282e0c85152a9a03f761eff002d874

Observation 75562374-c66c-48f6-80d6-c4031383301d · outbound

This paper cites A robust analysis of adversarial attacks on federated learning environments,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning A robust analysis of adversarial attacks on federated learning environments,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:18:23.612615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.116818Z digest=sha256:091ba8acdd3b06b4b989991abc9f36aefb02fd717b88a2ddc06919af40fe255f

Observation b43defa7-be5d-4ab2-8c59-370806be4250 · outbound

This paper cites Ro- bust Estimation in Signal Processing: A Tutorial-Style Treatment of Fundamental Concepts,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Ro- bust Estimation in Signal Processing: A Tutorial-Style Treatment of Fundamental Concepts,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:18:23.597020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.120742Z digest=sha256:319c92dfb543a3bf298cc0be320b7a05972ff536f5f2c857521c3bad53420fad

Observation ad7bed3b-ff7a-480f-99ac-3a193e030f36 · outbound

This paper cites an unresolved cited work.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-11T05:18:23.578609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.126274Z digest=sha256:674ab7e3d7b1954f3a13f6328250eaa71f612d73049ffc3cdd34d666c1d11e08

Observation 0923318f-be57-468e-bbac-f5119b8ee1de · outbound

This paper cites an unresolved cited work.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-11T05:18:23.471357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.131459Z digest=sha256:d8cb6d1a9c957658c566e1b5de617ebac9be5fa33705b7ef6dd2c73fb5a4dfaa

Observation b9930758-8df4-404c-b841-0276f21787e8 · outbound

This paper cites an unresolved cited work.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-11T05:18:23.376592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.136130Z digest=sha256:8b95aa685e47a9446e58e6df377c8c174596aace57017a0090cf9005e31477c0

Observation b9bf64df-39f5-4d73-85e2-eba25dcae61e · outbound

This paper cites John W. Tukey’s Contributions to Robust Statistics,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning John W. Tukey’s Contributions to Robust Statistics,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:18:23.356732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.140732Z digest=sha256:150894b81d9f6f543b2927e35391ae3271774e072faca0451e406fdd79d93355

Observation 6de8818d-067f-4a9d-a71b-5f1dd986c038 · outbound

This paper cites an unresolved cited work.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-11T05:18:23.341805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.145210Z digest=sha256:b253da0369c5f72b210330a486c0c110a6f4c433c7059cdac50de956b543402b

Observation 17b975ee-ad3b-4355-9c03-55b2a558c0ce · outbound

This paper cites an unresolved cited work.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-11T05:18:23.324995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.150339Z digest=sha256:3b6a82b4ad2ae7fd002694a7adcb44bfb8644e4482e0d438dff3df9811f6fb2b

Observation 18ee1b4c-04e2-4301-a1d8-a72a6c7b6760 · outbound

This paper cites an unresolved cited work.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-11T05:18:23.163888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.155366Z digest=sha256:b0a9bee9f40adf1bcccc2c229c2cd044967492131a2601728066002201e50077

Observation 0ec27fcf-b8c8-4d3a-883f-7a0962b010f9 · outbound

This paper cites Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:18:23.066436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.160131Z digest=sha256:bb27688cb61a5f23780dcad9962df3ad416a326bc35882e1d0c7c460dbc4ca79

Observation aae90f14-b403-4b11-9cef-b6f094178597 · outbound

This paper cites D 2: Decentralized Training over Decentralized Data,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning D 2: Decentralized Training over Decentralized Data,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:18:23.051967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.164842Z digest=sha256:f3a708d5b81e9f92354e44bab6746c33beeaf504eaf2cbc945cbfa3b674e86ac

Observation 7ad99067-87cb-4d41-9202-fe4342c1e933 · outbound

This paper cites Robust M-Estimation Based Bayesian Cluster Enumeration for Real Elliptically Symmetric Distributions,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Robust M-Estimation Based Bayesian Cluster Enumeration for Real Elliptically Symmetric Distributions,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:18:23.036944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.169341Z digest=sha256:126654ca5b2298c48f45856b44d2019e2188d4e5e66f1e8ffdd5124c6cfec4fa

Observation ed40e39e-064b-4087-b50c-33aac13d256d · outbound

This paper cites A review on robust M-estimators for regression analysis,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning A review on robust M-estimators for regression analysis,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:18:23.021961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.173046Z digest=sha256:a52de1d2c5f49297211ba624602a20b1f0fbf15314ad901e0b0f7feea710f8a5

Observation 5253ec83-a2c9-433b-b13b-41d049f6631e · outbound

This paper cites On the point for which the sum of the distances to n given points is minimum,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning On the point for which the sum of the distances to n given points is minimum,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:18:23.005794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.177187Z digest=sha256:11600949745e8f5a05f3067052b7372df1ae1c1ac9ad6192d15b56064b134886

Observation db54a18a-a40c-4023-b0d9-59c89c21afc5 · outbound

This paper cites Weiszfeld’s Method: Old and New Results,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Weiszfeld’s Method: Old and New Results,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:18:22.910054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.182111Z digest=sha256:40a00083327bec459f878abb6ec431b285fd5fba3e3dee892fcaf7288bf4e961

Observation 0ed9c24e-f710-4af6-b544-9e33789ac249 · outbound

This paper cites Breakdown Points of Affine Equivariant Estimators of Multivariate Location and Covariance Ma- trices,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Breakdown Points of Affine Equivariant Estimators of Multivariate Location and Covariance Ma- trices,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:18:22.789292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.186879Z digest=sha256:d379b55a8fd1094533e0093b62e3b514fd1f393df8b4f5b9eb57a52aa3460e8b

Observation 63b4dca4-2b69-4056-b20b-6846fc57196f · outbound

This paper cites Raynal, D.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Raynal, D

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:18:22.773069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.191776Z digest=sha256:11ff1df88ca7ad3405fb552ea1b8724556ffc4faf4648cc932092dc06eddb7a0

Observation 1763ef89-360c-4db2-b97f-ed3c9631c081 · outbound

This paper cites FABA: An Algorithm for Fast Ag- gregation against Byzantine Attacks in Distributed Neural Networks,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning FABA: An Algorithm for Fast Ag- gregation against Byzantine Attacks in Distributed Neural Networks,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:18:22.757663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.196698Z digest=sha256:862c277f78c493ed6d936f90787be0eafb1c375f3697d05df43b8b7736c23459

Observation 870290d9-bf70-4369-8e5e-2cdf1a6f0e4a · outbound

This paper cites Enhancing federated learning robustness through randomization and mixture,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Enhancing federated learning robustness through randomization and mixture,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:18:22.741361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.201357Z digest=sha256:79a21603ea12402c9afc4eeb36e1f5e05a716325e745a8cb13c72e8f327d4858

Observation 6d055cee-95cc-4343-b52b-3ac1372e9e4e · outbound

This paper cites An Experimental Study of Byzantine-Robust Aggregation Schemes in Federated Learning,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning An Experimental Study of Byzantine-Robust Aggregation Schemes in Federated Learning,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:18:22.694132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.205839Z digest=sha256:72c933a4352a41891a794529f5a4f499f18086b555cecc25d9cfaafd055baca3

Observation 15f8d05d-62c1-4c3c-b1d3-4ce3a7ca4bf3 · outbound

This paper cites Byzantine-Robust Distributed Online Learning: Taming Adversarial Participants in An Adversarial Environment,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Byzantine-Robust Distributed Online Learning: Taming Adversarial Participants in An Adversarial Environment,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:18:22.593936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.210464Z digest=sha256:62cd959a87b719f2f4b95c24742bdec5f1e1b744eab191679a0f8ce40f79c909

Observation c3286aad-58f2-4e60-a308-3438afc60b5e · outbound

This paper cites How To Backdoor Federated Learning,.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning How To Backdoor Federated Learning,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:18:22.561435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.215005Z digest=sha256:94305f6553e9b68740ce2776d022f26d797dde85aaf3543ffb910b21c8f0a089

Observation 73f2f026-250c-4699-a543-c55dd5aaccda · outbound

This paper cites LeCun, C.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning LeCun, C

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:18:22.545296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.219789Z digest=sha256:a931318247b53ac2cdacae4de990d8796157c3bdbe9e9c64e4802103b0623f4c

Observation 01ef85a4-3cfe-456a-8419-d205a6d62c10 · outbound

This paper cites Raynal and C.

Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning Raynal and C

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:18:22.529010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T05:18:22.224690Z digest=sha256:8ffde470087c3a729bbe58c8cbb13e9645524a21981b0ba0e31ea735fc3701bd

Pith citing papers

Observation 9cc02eaf-d33f-4b4c-859c-e540e83fab3c · inbound

Generalization Error Analysis for Attack-Free and Byzantine-Resilient Decentralized Learning with Data Heterogeneity cites this paper.

Generalization Error Analysis for Attack-Free and Byzantine-Resilient Decentralized Learning with Data Heterogeneity Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning

Reference 52

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local_arxiv, observed 2026-08-07T04:57:00.581775Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:57:00.543598Z digest=sha256:a12b32fe90bb07b4218e9cc168a67b69d335977e3cb5a2fd185c811d19fbd207