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Paper Citation Record · LEDGER

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models

As of 7 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2506.08346.

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

pith.paper-citation-record.v1
2506.08346 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:18:04.517664Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

  • verified exact2
  • verified fuzzy22
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 08b83b8c-c3ac-4b2f-9a63-a1cd3f7f211f · outbound

This paper cites Dataset security for machine learning: Data poisoning, backdoor attacks, and defenses,.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models Dataset security for machine learning: Data poisoning, backdoor attacks, and defenses,

Reference 1

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Observation ae0fc1e7-e1c8-44e5-95b8-86430f3cc04a · outbound

This paper cites Backdoor learning: A survey,.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models Backdoor learning: A survey,

Reference 2

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source=pdf_text observed=2026-08-07T05:18:04.327023Z digest=sha256:28453cf35e1846fc2c20318c2b6cabe6c636a6696db347f56c052d80da570a5f

Observation 3510db54-419c-44e7-8a34-7594b1b84128 · outbound

This paper cites Blind backdoors in deep learning models,.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models Blind backdoors in deep learning models,

Reference 3

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source=pdf_text observed=2026-08-07T05:18:04.331546Z digest=sha256:a2887552366d0cf796347cfc271e051873c00f0e863ba5349bc74fcbe8c0a036

Observation 963b78b0-a4c7-4925-9c0e-2ea8d8ecba15 · outbound

This paper cites Label-Consistent Backdoor Attacks.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models Label-Consistent Backdoor Attacks

Reference 4

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source=pdf_text observed=2026-08-07T05:18:04.335913Z digest=sha256:dd4aa185573e5e0bbd92db30ff091f904b487685a61504ed8562ab897c9a55c9

Observation c4ecb2e7-5517-4481-b2d4-e42d1e15719c · outbound

This paper cites A backdoor attack against lstm- based text classification systems,.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models A backdoor attack against lstm- based text classification systems,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:18:04.341212Z digest=sha256:eb049c380e84411140aea47b5a0ed733684332892fb66fd5ec906a166fc3ccc9

Observation 9a3d9026-49cf-4b34-b817-1e8cc021008b · outbound

This paper cites Hidden trigger backdoor attack on{NLP}models via linguistic style manipulation,.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models Hidden trigger backdoor attack on{NLP}models via linguistic style manipulation,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:18:04.346513Z digest=sha256:784ad4698ca707585806054535274525b4c19e086783f6e51b3fbb62c3a7f93e

Observation b6af23e3-7d66-46fa-b593-d1259f3de15d · outbound

This paper cites Mitigating backdoor attacks in lstm- based text classification systems by backdoor keyword identi- fication,.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models Mitigating backdoor attacks in lstm- based text classification systems by backdoor keyword identi- fication,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:18:04.351669Z digest=sha256:810709ffa5f2c9801adcc19792d4c431f7f5ccfcecb9a0887238c81faadbf7bf

Observation d4ecd125-a0bc-44cd-b541-5d3a4ee27c81 · outbound

This paper cites Badnets: Evaluating backdooring attacks on deep neural networks,.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models Badnets: Evaluating backdooring attacks on deep neural networks,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:18:04.356127Z digest=sha256:f99060eb4c59966b7a08ebcccf3165b89cfac919d9ab77e192dd872f7723b00a

Observation e513cb04-b191-4749-af41-28f237da37f7 · outbound

This paper cites Reflection backdoor: A natural backdoor attack on deep neural networks,.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models Reflection backdoor: A natural backdoor attack on deep neural networks,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:18:04.360726Z digest=sha256:34e227169e9230a19fa292b49a7ecab7bfa05859a4d18abc906749500e8b2a35

Observation ace38c79-0085-4c52-a970-e53688e2f404 · outbound

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

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

Reference 10

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source=pdf_text observed=2026-08-07T05:18:04.365512Z digest=sha256:2df443f1f9ad7c89bd4de4c363fa6110c24c9cf4add9378c2875d85ce0a3eb98

Observation 11b288e4-f959-4adc-a0dc-ba5a3eb77cf6 · outbound

This paper cites Spectral signatures in backdoor attacks,.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models Spectral signatures in backdoor attacks,

Reference 11

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source=pdf_text observed=2026-08-07T05:18:04.370703Z digest=sha256:ef282168b30de2e1cac87fb22feab6fa47c80f03f297f5a0b2db768f4a7feced

Observation 0925c6e3-fd2d-494f-80dd-ca1ec7b0d566 · outbound

This paper cites Clean-label backdoor attacks on video recognition models,.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models Clean-label backdoor attacks on video recognition models,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:18:04.375497Z digest=sha256:148cd00816acb6e8a9fedc78e79a86f3824e1290f8f9c53832a2cf9d44472003

Observation 40a303c1-b4ff-47fb-adb6-0b15e0af7d45 · outbound

This paper cites Can you hear it? backdoor attacks via ultrasonic triggers,.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models Can you hear it? backdoor attacks via ultrasonic triggers,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:18:04.380219Z digest=sha256:6ab8857e9b50e364f7dbe3e72f40441da3ec10b1ef6267434294cc174416ace3

Observation e9bb43fe-b432-4234-a99c-8d0fab1a80d7 · outbound

This paper cites Towards Stealthy Backdoor Attacks against Speech Recognition via Elements of Sound.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models Towards Stealthy Backdoor Attacks against Speech Recognition via Elements of Sound

Reference 14

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source=pdf_text observed=2026-08-07T05:18:04.384761Z digest=sha256:da750f64adec1499111ad70b6d5c55b87b7be57d49dbb9f386dc7ad2d3303c58

Observation e80c685a-1ea9-4e5f-9e4f-7b3ece46c41b · outbound

This paper cites Going in style: Audio backdoors through stylistic transformations,.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models Going in style: Audio backdoors through stylistic transformations,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:18:04.389664Z digest=sha256:9fbb1791b75791a09610a78c0ecab3e10707c1670a79da6de4b10f74670397b7

Observation a78952f9-710d-4825-be28-c11317c1f3a0 · outbound

This paper cites Back- door attack against speaker verification,.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models Back- door attack against speaker verification,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:18:04.394144Z digest=sha256:e25e9edf55a3e31d117b103a0d864fb3c1e84ec9373cf059580cbf4b553e767a

Observation eac14d51-e4d8-4b31-b571-b42d77e19c16 · outbound

This paper cites Audio-domain position-independent backdoor attack via unnoticeable triggers,.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models Audio-domain position-independent backdoor attack via unnoticeable triggers,

Reference 17

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:18:04.398602Z digest=sha256:9e9b99c51792d47c7fcc96e926dd8022d397a0f6a135607a10a796c0667ba5aa

Observation bb355d99-e7fb-401d-a781-c255a775d03f · outbound

This paper cites Backdoor attacks against deep neural networks by personalized audio steganography,.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models Backdoor attacks against deep neural networks by personalized audio steganography,

Reference 18

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:18:04.403056Z digest=sha256:730bd5eeed5fbfe5c4eb454af4afad9681cc1aae2892834774b8610afdfd5a06

Observation fab5f237-8f4d-40fe-976a-16579f987e9a · outbound

This paper cites Opportunistic back- door attacks: Exploring human-imperceptible vulnerabilities on speech recognition systems,.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models Opportunistic back- door attacks: Exploring human-imperceptible vulnerabilities on speech recognition systems,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:18:04.407690Z digest=sha256:6f916d1789ba0c3714fcfefd1d0356891d2e8a50f448e0b11af2a23a86b4bf97

Observation 68f67de0-4eb6-4e2d-9221-ac3b5002b5c0 · outbound

This paper cites Natural backdoor attacks on speech recognition models,.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models Natural backdoor attacks on speech recognition models,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:18:04.412571Z digest=sha256:af96d7a6725cc229980a5c80adceccb8ccf5bb58f25db3d26a5c9c4c9a88bb1a

Observation 587d1c71-d69f-49ea-b3a4-8363cf222dad · outbound

This paper cites Practical backdoor attack against speaker recognition system,.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models Practical backdoor attack against speaker recognition system,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:18:04.417295Z digest=sha256:9a2c13a7481cd9f04ce54ff172ae28e020da4d01f0b485f84aee84a81824c64d

Observation fc2f361f-06e8-4ccb-8104-8254df35fc7a · outbound

This paper cites Fake the Real: Backdoor Attack on Deep Speech Classification via Voice Conversion.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models Fake the Real: Backdoor Attack on Deep Speech Classification via Voice Conversion

Reference 22

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local_arxiv, observed 2026-08-07T05:18:04.749879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:18:04.421858Z digest=sha256:66f69d7d307d3efae6571fd909910072df3e51bbdcfa7111bee0c2c563ac7132

Observation d18eca1d-55e9-4763-9823-2907ad371bfc · outbound

This paper cites PBSM: Backdoor attack against Keyword spotting based on pitch boosting and sound masking.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models PBSM: Backdoor attack against Keyword spotting based on pitch boosting and sound masking

Reference 23

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:18:04.426815Z digest=sha256:51b93068850f09546d17917683ea2c7225b3ccaa09a26237801bc1d61c4f9699

Observation e753fac0-4e44-4c3a-ab6e-1e5b3ccac210 · outbound

This paper cites Imperceptible rhythm backdoor attacks: Exploring rhythm transformation for embedding undetectable vulnerabilities on speech recog- nition,.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models Imperceptible rhythm backdoor attacks: Exploring rhythm transformation for embedding undetectable vulnerabilities on speech recog- nition,

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:18:04.432208Z digest=sha256:a7c576f9f530df1b102a3ce2a5b58a67ad748b76e01950a42d4ba5b053965ffe

Observation 2dc7e667-5819-43c0-a085-4b52449cc334 · outbound

This paper cites Neural cleanse: Identifying and mitigating back- door attacks in neural networks,.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models Neural cleanse: Identifying and mitigating back- door attacks in neural networks,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:18:04.436741Z digest=sha256:d99152a5230d4ed5cbb635417b7a4b217110b4274c9826a56db877a5ef67a88f

Observation ee2373e2-f558-4319-8718-105285ef1601 · outbound

This paper cites Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

Reference 26

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source=pdf_text observed=2026-08-07T05:18:04.441044Z digest=sha256:560ac78d967cb0382a2e8689f43a9025db8134ddfeeb355f54593330ffba985d

Observation 86a59c3e-7be4-408d-8cfa-9f275e546ab9 · outbound

This paper cites Multiple-gradient descent algorithm (mgda) for multiobjective optimization,.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models Multiple-gradient descent algorithm (mgda) for multiobjective optimization,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:18:04.445846Z digest=sha256:51af06ffb61e1771bea83603d69183b9824f0274e117b1aebda53f55acc8e6cc

Observation 513f3019-539d-4e02-a881-f1e305d8b07f · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 28

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source=pdf_text observed=2026-08-07T05:18:04.450167Z digest=sha256:cab2dc839786d547b6e469ce375efd842d99442829d070bf2194b1a9ae7b9f8c

Observation 2380a877-5dfb-442e-9027-2974b1e474b4 · outbound

This paper cites A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

Reference 29

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:18:04.455231Z digest=sha256:c0b17319f26d59741af1bc4f956ae52bfb3f42549a25ee1cf2a6746bc4ac57ce

Observation fa5435d0-de78-4bef-96a9-1d6b711eb587 · outbound

This paper cites End-to-End Audio Strikes Back: Boosting Augmentations Towards An Efficient Audio Classification Network.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models End-to-End Audio Strikes Back: Boosting Augmentations Towards An Efficient Audio Classification Network

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:18:04.460073Z digest=sha256:e9577bb37de5c2f61966083a8e75ae115ed234009bb81a6183a7eced8ee81a38

Observation 91b3b669-0bee-492c-984d-39c297cce904 · outbound

This paper cites General- ized end-to-end loss for speaker verification,.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models General- ized end-to-end loss for speaker verification,

Reference 31

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raw_fallback, observed 2026-08-07T05:18:04.858774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:18:04.465030Z digest=sha256:f1ac51b6b122f29927cbb0fcf7b9e600fd5a1a85e087cb4d5f9e0e32f42221e5

Observation 043ddbfe-0edf-46d3-8354-2a898d97b865 · outbound

This paper cites ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:18:04.469626Z digest=sha256:0028e02c94f6c7420103649664849f3699c3364ed3dff70e7426c4acb3d8528d

Observation 5e7b2c74-6e68-4936-bc24-4222180d4768 · outbound

This paper cites VSVC: Backdoor attack against Keyword Spotting based on Voiceprint Selection and Voice Conversion.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models VSVC: Backdoor attack against Keyword Spotting based on Voiceprint Selection and Voice Conversion

Reference 33

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:18:04.474204Z digest=sha256:ecbbec25e751dfaef93280350b2af167b610169478f322212a61e38ce48d2ca0

Observation 8ff2ebaa-355b-4343-8e7f-cd415ed19a60 · outbound

This paper cites Chatgpt and large language model (llm) chatbots: The current state of acceptability and a proposal for guidelines on utilization in academic medicine,.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models Chatgpt and large language model (llm) chatbots: The current state of acceptability and a proposal for guidelines on utilization in academic medicine,

Reference 34

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raw_fallback, observed 2026-08-07T05:18:04.844622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:18:04.478879Z digest=sha256:ce83672a04e49bd13c115bb72a6dffa67d0f9574ca5e83069fa4b46afdcf4a88

Observation bbd22057-448e-42b9-8450-29832be51517 · outbound

This paper cites Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T05:18:04.483387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:18:04.483387Z digest=sha256:97c5ee802eb8687656024a677a30bd2fa63e32c1b72383a4aac44a4506758e8a

Observation bcf2538f-47a0-45ef-9cfa-dced45aac561 · outbound

This paper cites Deep residual learning for image recognition,.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models Deep residual learning for image recognition,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T05:18:04.488745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:18:04.488745Z digest=sha256:9170a5a4987e663e5ca83b942a11f4426d2b5d9a7a300f7f9cd7138380c733e3

Observation 446a52b5-4269-4fa2-9d9d-493e40ca8975 · outbound

This paper cites Keyword Transformer: A Self-Attention Model for Keyword Spotting.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models Keyword Transformer: A Self-Attention Model for Keyword Spotting

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:18:04.609468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:18:04.493481Z digest=sha256:8a5de73f7c2e83381fe43da7ce8ceeae33e8e6471af46ddc3f3b1785d8c4ab59

Observation 735d9ca9-de68-4dc4-9dcb-7498b48120a5 · outbound

This paper cites VoxCeleb: a large-scale speaker identification dataset.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models VoxCeleb: a large-scale speaker identification dataset

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T05:18:04.498289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:18:04.498289Z digest=sha256:f48d6606323ff298579b75b23d018aca69d734372ae2782e3176e80dfdf570a3

Observation 82db7ec7-0b0c-494a-9323-eecbb42c285a · outbound

This paper cites Speaker recognition from raw waveform with sincnet,.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models Speaker recognition from raw waveform with sincnet,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:18:04.820497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:18:04.503010Z digest=sha256:7c21567269bd2623b15df2cdd09374122b6a6986b33b51a1bc8c1bf655772edb

Observation ebc049ef-ad0b-4c16-9496-adf78449ef81 · outbound

This paper cites Emotional voice con- version: Theory, databases and esd,.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models Emotional voice con- version: Theory, databases and esd,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T05:18:04.507417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:18:04.507417Z digest=sha256:121dcb6379bd4e92a3e68e9389df668577d4b8c5e085c5cff78a79226128d52e

Observation 95e7ba4e-414d-465f-a4cc-d4fa5501a9a1 · outbound

This paper cites Paraformer: Fast and Accurate Parallel Transformer for Non-autoregressive End-to-End Speech Recognition.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models Paraformer: Fast and Accurate Parallel Transformer for Non-autoregressive End-to-End Speech Recognition

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T05:18:04.512944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:18:04.512944Z digest=sha256:ef78e16997594b65857397cb316ff25b87136291d6dca06976961289c684683e

Observation 18d9719c-6acc-48f7-a4bf-eaba0dae2175 · outbound

This paper cites Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models.

SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T05:18:04.517664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:18:04.517664Z digest=sha256:b382b68748e49c4255e77fe71c62e3557198f625d68df293a02cf80170589c91

Pith citing papers

No inbound Pith citation observations are available.