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Paper Citation Record · LEDGER

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces

As of 22 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2412.09933.

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

pith.paper-citation-record.v1
2412.09933 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:39:23.512251Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

54 of 54 outbound references displayed

  • verified exact0
  • verified fuzzy47
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1bdfd1cb-1082-4b31-a4ff-c7a1b90fa0f9 · outbound

This paper cites Brain-computer interfaces: A gentle introduction.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Brain-computer interfaces: A gentle introduction

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.263000Z digest=sha256:dfde4d9a38eb6e55b349fb9a2893913d12f6fc5f9053ae2b84504ef8155816a8

Observation 8e97eb0b-6016-44f3-bffc-29fb04afc69d · outbound

This paper cites Brain computer interfaces, a review.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Brain computer interfaces, a review

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.640169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.268312Z digest=sha256:249ccb4c38605a719185a8ab1c9c3d28b18ac9f7da4270ceeced33ca47319891

Observation a5e39953-4a9b-46f9-8e5e-aba8c8c8423e · outbound

This paper cites Motor imagery and direct brain-computer communication.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Motor imagery and direct brain-computer communication

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.626226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.273222Z digest=sha256:b68fa65c84733e8b012858e6d9c43b0d24c9a0ff998756b614a6b065b7b9d907

Observation ffc1b375-f3fb-4a44-97c6-0ff077fc5237 · outbound

This paper cites A novel task-oriented optimal design for P 300-based brain-computer interfaces.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces A novel task-oriented optimal design for P 300-based brain-computer interfaces

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.611228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.278447Z digest=sha256:f52eb67958964ccfc09b1af16c7dc9902a71374aae1e84f18ee65d29058f0c69

Observation e5b5e744-e537-45e5-96cc-e38d706d98df · outbound

This paper cites Robust similarity measurement based on a novel time filter for SSVEP s detection.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Robust similarity measurement based on a novel time filter for SSVEP s detection

Reference 5

Resolution
metadata mismatch
raw_fallback, observed 2026-08-11T16:39:23.960820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.283687Z digest=sha256:a6279551d11d7fe7e7b70ff85b0551d760087696a9d31fb2b8524d3b2c44c152

Observation 20cd4a51-fd0e-4aad-9bbb-9450dc77188b · outbound

This paper cites Recent advances in wireless epicortical and intracortical neuronal recording systems.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Recent advances in wireless epicortical and intracortical neuronal recording systems

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.596989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.288787Z digest=sha256:e16187bc20187ae63e67e69fa46b0a8923f8741fb2dc098f4cbaa5d09e45125e

Observation 21d24b0f-d475-422c-8e55-266e685e93d2 · outbound

This paper cites Long-term flexible penetrating neural interfaces: materials, structures, and implantation.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Long-term flexible penetrating neural interfaces: materials, structures, and implantation

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.582021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.294197Z digest=sha256:26f756efa1e2205386d07aa04edf7f51417a2ba415b1f063633123d8a81da603

Observation d9717529-d239-4a02-900f-c8fd72f08d06 · outbound

This paper cites A 124 dB dynamic range sigma-delta modulator applied to non-invasive EEG acquisition using chopper-modulated input-scaling-down technique.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces A 124 dB dynamic range sigma-delta modulator applied to non-invasive EEG acquisition using chopper-modulated input-scaling-down technique

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.567679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.298954Z digest=sha256:e2ea687ee61f4e0dc2e8e8161548132ee1f6cf692fb0d43235a56226937cd8c6

Observation 4df52f02-126a-4e21-a0f7-aac97a4e6223 · outbound

This paper cites Recent progress of integrated circuits and optoelectronic chips.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Recent progress of integrated circuits and optoelectronic chips

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.553261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.303507Z digest=sha256:23a2937131d6cc017673cf6c335f8125c0f28436a9a73ad26d8eae160ec7bf9d

Observation 8144ccc4-83db-427c-82df-f2e93cbd9a84 · outbound

This paper cites Evolving signal processing for brain-computer interfaces.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Evolving signal processing for brain-computer interfaces

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.537957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.308239Z digest=sha256:3b7661d2c92fa65c5b192994ea00a835b975ca05405690917373adcc307d24d0

Observation 8738da30-5b9f-4989-8d06-ab0f27da5a90 · outbound

This paper cites Correlation-based channel selection and regularized feature optimization for MI -based BCI.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Correlation-based channel selection and regularized feature optimization for MI -based BCI

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.523663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.312859Z digest=sha256:fddade431069ee2a7c2998c3b481fa0869631e6be940a8b9b25eb456eaacc3b7

Observation fd35e64c-f920-47fa-8863-173af839ebb6 · outbound

This paper cites Internal feature selection method of CSP based on L 1-norm and D empster- S hafer theory.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Internal feature selection method of CSP based on L 1-norm and D empster- S hafer theory

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.509225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.317583Z digest=sha256:987c7c2ac21acb5534378aabff791fd30d1cbac46874eccd15316b5d1953962a

Observation f8d06221-a39b-4a68-acc2-06e1be2ed384 · outbound

This paper cites A review of classification algorithms for EEG -based brain-computer interfaces: A 10 year update.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces A review of classification algorithms for EEG -based brain-computer interfaces: A 10 year update

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.494831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.321803Z digest=sha256:b3fd5dcb3428e9bba8dbd50f1e2bcf00d6434590048c5a793159ff2ad2226a88

Observation 1297f3fd-4a70-4cc1-b8b6-aa18686f8724 · outbound

This paper cites Evidence of variabilities in EEG dynamics during motor imagery-based multiclass brain-computer interface.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Evidence of variabilities in EEG dynamics during motor imagery-based multiclass brain-computer interface

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.480310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.326401Z digest=sha256:3d5de8b3fa6916e4ebef4398bd069fe63e32c9d8b9a48f464bafb2dd24e95e11

Observation 985cd40b-5d00-401b-a54a-bc8ec247d1a9 · outbound

This paper cites Transfer learning for EEG -based brain-computer interfaces: A review of progress made since 2016.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Transfer learning for EEG -based brain-computer interfaces: A review of progress made since 2016

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T16:39:23.331072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:39:23.331072Z digest=sha256:dfb6a110e70e08c6cd2494d275943929abfd60b349be09dcf4fdbe3be378bbb0

Observation b725ad34-59cc-417e-b20c-cef006af3fde · outbound

This paper cites A survey on transfer learning.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces A survey on transfer learning

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.464870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.335713Z digest=sha256:2b0a8951dab0d471ff50f037543b5b60d8d8f222f0b6a553d905539ac843b015

Observation 4a541531-71a2-47be-8069-81ec2f2c4b80 · outbound

This paper cites Transfer learning in brain-computer interfaces.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Transfer learning in brain-computer interfaces

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.450452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.340342Z digest=sha256:5438eff18dc347516a745d41c1a17eb9ac625c71e6b809eb91c95ff5680c6795

Observation 9d295bfd-7cfe-45bd-9f3a-af6ca29a0e3e · outbound

This paper cites Transfer learning for brain-computer interfaces: A Euclidean space data alignment approach.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Transfer learning for brain-computer interfaces: A Euclidean space data alignment approach

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.435877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.345760Z digest=sha256:d16a15d7a079ec5e84915d97049b07806e0f81917561b3e3e569bdaa8fd7e770

Observation 5e80a49e-38a0-4aff-b192-7231e4131154 · outbound

This paper cites Different set domain adaptation for brain-computer interfaces: a label alignment approach.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Different set domain adaptation for brain-computer interfaces: a label alignment approach

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.421217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.350297Z digest=sha256:d1a29d17c9ded93a697493680090b04701e94bc46b536926ac6782f6b0289c13

Observation 1e3c1033-ac82-408f-8ca2-a0215fb1df0e · outbound

This paper cites On the vulnerability of CNN classifiers in EEG -based BCI s.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces On the vulnerability of CNN classifiers in EEG -based BCI s

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.406785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.355276Z digest=sha256:2082d6ebae096136339d08c693b52b6306963a24c86ed05107d534a1589d07f8

Observation d4b8afbf-b7c1-4b32-819d-d5309cb3843d · outbound

This paper cites Universal adversarial perturbations for CNN classifiers in EEG -based BCIs.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Universal adversarial perturbations for CNN classifiers in EEG -based BCIs

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.392807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.360158Z digest=sha256:7d949dcb18090269ccbf7295a37ab58bc5f8913a1ab87e8fb4e004829da05596

Observation 81318b88-ccfd-49e6-b019-c02628a54c63 · outbound

This paper cites Tiny noise, big mistakes: A dversarial perturbations induce errors in brain-computer interface spellers.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Tiny noise, big mistakes: A dversarial perturbations induce errors in brain-computer interface spellers

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.378021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.364637Z digest=sha256:0c902e156a3682eadcbc693d3c35a38e1321a528cd16f7dc188e3530aa359010

Observation 5cbb374c-2eb0-43a4-996f-fc2a49178703 · outbound

This paper cites EEG-Based Brain-Computer Interfaces Are Vulnerable to Backdoor Attacks.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces EEG-Based Brain-Computer Interfaces Are Vulnerable to Backdoor Attacks

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T16:39:23.369129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:39:23.369129Z digest=sha256:0f7236e6b4496c62f6386eb23fc5012bb26bc0483c529f779d97ee7dd8b17af0

Observation 2aa44a81-d2d5-4ea7-b344-d6e598eb5247 · outbound

This paper cites SSVEP-based brain-computer interfaces are vulnerable to square wave attacks.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces SSVEP-based brain-computer interfaces are vulnerable to square wave attacks

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.363669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.373806Z digest=sha256:1aaceea9da0d6b974862554a9aac688e1deb4d0d07da8a931f711112d1338706

Observation 7dc45f49-85b5-4f84-b095-a0a06e8f61a0 · outbound

This paper cites BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T16:39:23.378613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:39:23.378613Z digest=sha256:b0c252a3c3bcfc69d302ae2bd425e3701acbf9d07aa5e2a2e4026260344cc0ae

Observation f9c3a12e-8791-4727-a959-96106781153c · outbound

This paper cites Adversarial patch.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Adversarial patch

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.348712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.383727Z digest=sha256:0bbf7ef045652fbc1c507543c9de9ce01ee61c5838af65439342107fe26de524

Observation b8fedd4e-e54f-4d5e-8ce5-694870f8621c · outbound

This paper cites Audio adversarial examples: targeted attacks on speech-to-text.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Audio adversarial examples: targeted attacks on speech-to-text

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.333990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.388078Z digest=sha256:38c089e5973f66885be14797a3997e746bca6b20e52e93cf7826f26fe046a85c

Observation 2dda0425-5af4-4cee-8886-a7e7677652af · outbound

This paper cites Securing connected & autonomous vehicles: Challenges posed by adversarial machine learning and the way forward.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Securing connected & autonomous vehicles: Challenges posed by adversarial machine learning and the way forward

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.319199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.393706Z digest=sha256:7b0a6dd6b59406ad0a6eb2e536000ca07ad3b48fc3576e77c59fee980acd8abb

Observation c5c843a0-0eb6-415c-a263-5ee0c019cd5a · outbound

This paper cites A target-agnostic attack on deep models: Exploiting security vulnerabilities of transfer learning.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces A target-agnostic attack on deep models: Exploiting security vulnerabilities of transfer learning

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.304256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.398339Z digest=sha256:aaccd8d201446002f6782fc836c4cd182e9a48cb2bebb123c2ff7c6db4316a43

Observation 362fe1cb-5032-4b49-9e09-09c3103e4057 · outbound

This paper cites With great training comes great vulnerability: Practical attacks against transfer learning.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces With great training comes great vulnerability: Practical attacks against transfer learning

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.289738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.402894Z digest=sha256:3c646089967c5aa0c554a306427846f9cc64f3be7e70a8eca74b6526d71f46ef

Observation d3b9856d-b46e-4312-800e-411dff3d1d70 · outbound

This paper cites Backdoor attacks against transfer learning with pre-trained deep learning models.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Backdoor attacks against transfer learning with pre-trained deep learning models

Reference 31

Resolution
metadata mismatch
raw_fallback, observed 2026-08-11T16:39:23.783711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.407463Z digest=sha256:6b6bcb825870a2450d6430ba5a93c2acd0ce35c527a41152b9632f1b6a88dafa

Observation 26b1f7ea-dbde-4110-89b4-0fbcbaae21cd · outbound

This paper cites Weight poisoning attacks on pretrained models.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Weight poisoning attacks on pretrained models

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.274864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.411844Z digest=sha256:fdbd4ae0a998cd8e13b6628dfb46ca384ddb7d8d712b12efef0ffcafed071150

Observation b960409e-7712-4dfd-8c1f-c7cb207cf094 · outbound

This paper cites Active learning literature survey.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Active learning literature survey

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.259838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.416092Z digest=sha256:ec7b66966f372cbaa05fff49cc0b09c60eae860075dd700ea4c63ea506e7bc5a

Observation a9313fc4-9e8f-40a4-a324-1172165225a3 · outbound

This paper cites An analysis of active learning strategies for sequence labeling tasks.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces An analysis of active learning strategies for sequence labeling tasks

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.245222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.420130Z digest=sha256:7f819f3f2593481e9e32b06f42c316f8dc85190fab9218a27839752886a666a7

Observation 72fac5c1-7fd6-448b-bb5d-80b135a0b28d · outbound

This paper cites Active learning for classification with maximum model change.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Active learning for classification with maximum model change

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.230660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.424524Z digest=sha256:897ee455972b84e935cbe4754dd15c4ff6ded1382ee15cef0911ab5f81811bac

Observation 7df4d4a7-5594-4982-ab99-ad3064cb497c · outbound

This paper cites Pool-based sequential active learning for regression.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Pool-based sequential active learning for regression

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.216275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.429334Z digest=sha256:f5e0753eca6a2c2ea3fff23e0f9bb5f5a658ae0b06f474181345bd602123700b

Observation 4b137b9d-f256-46d3-bdc9-2db3135bf578 · outbound

This paper cites Active learning for regression using greedy sampling.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Active learning for regression using greedy sampling

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.201891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.433803Z digest=sha256:c82412eb1098438698145d0baded41cfcedba68291152ff8844355564dd9a1e8

Observation 0b4302d2-cea6-4a5d-bf82-e0b1b1ff6a8a · outbound

This paper cites An efficient P 300-based brain-computer interface for disabled subjects.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces An efficient P 300-based brain-computer interface for disabled subjects

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.187799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.438291Z digest=sha256:3f4bfacc625c0668d1a60c4e7621ff5d470077c30001fa2ce8c52b06def6e1b1

Observation e4715843-372b-4494-afb1-5f13a6935620 · outbound

This paper cites Objective and subjective evaluation of online error correction during P 300-based spelling.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Objective and subjective evaluation of online error correction during P 300-based spelling

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.173731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.442982Z digest=sha256:ed5c328b9043ff4dd10197ec631b6b23533b737d00dec8a2afe8461754880595

Observation b62a17e2-8b3a-4af2-a79a-51c43c935088 · outbound

This paper cites Review of the BCI C ompetition IV.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Review of the BCI C ompetition IV

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.159748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.448071Z digest=sha256:bb84f7154d8b3a06f97c57def70da14e2064df2fcea449fb71a0e2ab52514dbb

Observation 54baf4a2-3288-455b-8d3b-18569a235a20 · outbound

This paper cites The non-invasive B erlin brain-computer interface: fast acquisition of effective performance in untrained subjects.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces The non-invasive B erlin brain-computer interface: fast acquisition of effective performance in untrained subjects

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.145416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.452681Z digest=sha256:441e5067bf1d296ca895713c1734c32740a1149955917704a7b896fde24960bf

Observation e445c998-1c5c-43fa-ae55-b5179fe2739e · outbound

This paper cites EEGNet : A compact convolutional neural network for EEG -based brain-computer interfaces.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces EEGNet : A compact convolutional neural network for EEG -based brain-computer interfaces

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.130715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.457224Z digest=sha256:4ae67f7b160250873fc54a518d55da885b7cc6dcb9ae2e4d0277a4bb6cfc1f20

Observation b70db5e8-2d80-4850-9d5e-2bde01089265 · outbound

This paper cites Deep learning with convolutional neural networks for EEG decoding and visualization.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Deep learning with convolutional neural networks for EEG decoding and visualization

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.115473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.461834Z digest=sha256:1b7b5bd852e9e1eae7935c96093b42ba9b6de6ecf75aa1e2953f2826f6fffad2

Observation a336e621-2eb9-4788-8072-fd06876f862a · outbound

This paper cites Thinker invariance: E nabling deep neural networks for BCI across more people.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Thinker invariance: E nabling deep neural networks for BCI across more people

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.100564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.466772Z digest=sha256:b7f56c2a8e891a94fec3d78fd1c95bb1c8593015a262b3b89e1213e0412af44d

Observation 2f8b197d-6d78-4f47-8ba1-48a06e5d56b1 · outbound

This paper cites Latent backdoor attacks on deep neural networks.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Latent backdoor attacks on deep neural networks

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.086064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.471162Z digest=sha256:af2be94bab10446a9e881e93a6c4c67a0fac264590f49d88c31031f2de31eee3

Observation 33a54380-dffb-49b3-ac02-2a0714140d60 · outbound

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

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Attack of the tails: Yes, you really can backdoor federated learning

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.071136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.475441Z digest=sha256:5f8dfa683ad49364f5c51b451434247156435033dd0aed7dfa4c656789c7d0fa

Observation 4e2e0cce-781f-46a7-833e-c7ecc506802a · outbound

This paper cites Fine-pruning: Defending against backdooring attacks on deep neural networks.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Fine-pruning: Defending against backdooring attacks on deep neural networks

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.055182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.480037Z digest=sha256:cc1c5be41e7d821ea8e57c45c33363125a856dc96e0b51f38a01f667bdd8bc81

Observation 31009557-b17c-4506-9bca-e80b4bb60013 · outbound

This paper cites Neural trojans.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Neural trojans

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.039760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.484537Z digest=sha256:c405a1e018b898b04c80d088e6fc23f03fd7c5770fbca6d24066f1b6aae1cdd4

Observation 47284d29-f78c-4ee0-a6fb-18246c481d8b · outbound

This paper cites Strong data augmentation sanitizes poisoning and backdoor attacks without an accuracy tradeoff.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Strong data augmentation sanitizes poisoning and backdoor attacks without an accuracy tradeoff

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.022827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.488914Z digest=sha256:29d3933bf3757ae5b5aef28b0756bf5e4bc533422954177753f42c573a919158

Observation 205810df-f4ad-40d5-914e-4bc7539df8be · outbound

This paper cites Rethinking the Trigger of Backdoor Attack.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Rethinking the Trigger of Backdoor Attack

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T16:39:23.493317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:39:23.493317Z digest=sha256:7ea4cdd4c33ba8c35eae04c47d785de65f92ebe56d911bb7b521b1769cc7408a

Observation 6a53a03c-082c-4b08-8a6a-ceb07a3ec8c7 · outbound

This paper cites Data augmentation for self-paced motor imagery classification with C-LSTM.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Data augmentation for self-paced motor imagery classification with C-LSTM

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:24.007237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.498109Z digest=sha256:7beade0a7c412308c0dd6c3163e28e5e7b330c0dd961eea1a67f0bc001295c8d

Observation 7b0cdf58-13c1-464a-8383-9c78d548a996 · outbound

This paper cites Privacy-preserving domain adaptation for motor imagery-based brain-computer interfaces.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Privacy-preserving domain adaptation for motor imagery-based brain-computer interfaces

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-11T16:39:23.502943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:39:23.502943Z digest=sha256:6294557da0dffd69474337e65f8a5148c7a92f4dce7b6354b10c52f63bf0e6a6

Observation 12a7c1a5-92d3-405c-8aa6-c8ff34a41f9f · outbound

This paper cites xDAWN algorithm to enhance evoked potentials: application to brain-computer interface.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces xDAWN algorithm to enhance evoked potentials: application to brain-computer interface

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:23.991302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.507579Z digest=sha256:8f11cd009542812aec474866e3b89ed64e44870a14f308a71a9b2590fc773192

Observation d689b3c4-a1e5-4d99-9740-46fd22be2952 · outbound

This paper cites Optimal spatial filtering of single trial EEG during imagined hand movement.

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces Optimal spatial filtering of single trial EEG during imagined hand movement

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:39:23.976031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T16:39:23.512251Z digest=sha256:c221c6df84d73103f1c84a19d1dad767ffc50dc5f3f02694805cbb9e474370b4

Pith citing papers

No inbound Pith citation observations are available.