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Paper Citation Record · LEDGER

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses

As of 8 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2509.09296.

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

pith.paper-citation-record.v1
2509.09296 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:27:38.554271Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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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

43 of 43 outbound references displayed

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Outbound references

Observation d39a6b6c-8325-4fae-b7b7-bd1699440c3e · outbound

This paper cites Speaker Recognition Based on Deep Learning: An Overview,.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Speaker Recognition Based on Deep Learning: An Overview,

Reference 1

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Observation 6209c17b-9bb0-43d2-afd2-2c71841cb5c2 · outbound

This paper cites Adversarial Attack and Defense Strategies of Speaker Recognition Systems: A Survey,.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Adversarial Attack and Defense Strategies of Speaker Recognition Systems: A Survey,

Reference 2

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Observation 4ddc6da2-b4ad-420d-8748-e9172fd96a2f · outbound

This paper cites Audio Deepfake Detection: A Survey.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Audio Deepfake Detection: A Survey

Reference 3

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Observation 50792f64-08d2-4e22-ac31-601c284a24e3 · outbound

This paper cites Black-box Attacks on Spoofing Countermeasures Using Transferability of Adversarial Exam- ples.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Black-box Attacks on Spoofing Countermeasures Using Transferability of Adversarial Exam- ples

Reference 4

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Observation 62e1a2a6-306b-4543-8281-842b1e918483 · outbound

This paper cites AdvSV: An Over-the-air Adversarial Attack Dataset for Speaker Verification,.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses AdvSV: An Over-the-air Adversarial Attack Dataset for Speaker Verification,

Reference 5

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Observation f8a32f76-b91c-415f-81eb-df3c6c04a195 · outbound

This paper cites An Initial Investigation of Neural Replay Simulator for Over-the-air Adversarial Perturbations to Automatic Speaker Verification,.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses An Initial Investigation of Neural Replay Simulator for Over-the-air Adversarial Perturbations to Automatic Speaker Verification,

Reference 6

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source=pdf_text observed=2026-08-04T19:27:38.452859Z digest=sha256:c4035fd2387b67ed6a6313654429138ad2d0db44e2b5594f88f6d563e571bf99

Observation 1af80839-8663-4ac7-b15a-9eb00a61a3a0 · outbound

This paper cites The Defender’s Perspective on Automatic Speaker Verification: An Overview,.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses The Defender’s Perspective on Automatic Speaker Verification: An Overview,

Reference 7

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Observation 64132742-51fb-4480-a73d-4a64d902da11 · outbound

This paper cites Study of Pre-processing Defenses against Adversarial Attacks on State-of-the-art Speaker Recognition Systems,.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Study of Pre-processing Defenses against Adversarial Attacks on State-of-the-art Speaker Recognition Systems,

Reference 8

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Observation 6f88b312-a6aa-4feb-873b-6c44e19a9127 · outbound

This paper cites Representation Learning to Classify and Detect Adversarial Attacks against Speaker and Speech Recognition Systems,.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Representation Learning to Classify and Detect Adversarial Attacks against Speaker and Speech Recognition Systems,

Reference 9

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Observation 010ada75-aeb6-4214-a01c-d1eb211480e9 · outbound

This paper cites In- vestigating Robustness of Adversarial Samples Detection for Automatic Speaker Verification,.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses In- vestigating Robustness of Adversarial Samples Detection for Automatic Speaker Verification,

Reference 10

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Observation 6d1337de-3f43-4ec4-baaa-a83f822a0cd8 · outbound

This paper cites Adversarial Sample Detection for Speaker Verification By Neural V ocoders,.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Adversarial Sample Detection for Speaker Verification By Neural V ocoders,

Reference 11

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Observation a330ab30-da93-4db3-a34e-4ae3025bd56f · outbound

This paper cites Improving the Adversarial Robustness for Speaker Verification by Self-supervised Learning,.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Improving the Adversarial Robustness for Speaker Verification by Self-supervised Learning,

Reference 12

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Observation 95dbda95-5d8f-43cb-b082-b71aceb8e94a · outbound

This paper cites LMD: A Learnable Mask Network to Detect Adversarial Examples for Speaker Verification,.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses LMD: A Learnable Mask Network to Detect Adversarial Examples for Speaker Verification,

Reference 13

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source=pdf_text observed=2026-08-04T19:27:38.473589Z digest=sha256:6e4ae1bf9d374940d73667c9c7b356414ada1976e5bd332a76b81771882e53ea

Observation 83e5ea49-e252-4400-ac6d-38f79b4ae678 · outbound

This paper cites Defending against Adver- sarial Audio via Diffusion Model,.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Defending against Adver- sarial Audio via Diffusion Model,

Reference 14

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Observation 70e783ef-bdcc-4bb2-bfe1-f2541f3eba65 · outbound

This paper cites FoolHD: Fooling Speaker Identification By Highly Imperceptible Adversarial Disturbances,.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses FoolHD: Fooling Speaker Identification By Highly Imperceptible Adversarial Disturbances,

Reference 15

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source=pdf_text observed=2026-08-04T19:27:38.479091Z digest=sha256:0b361305685fc5f989843d47a5ed75aff1bbda12b189b294a2e20423b26b19f3

Observation 21cd331b-c59d-4f8c-b47d-6ca28a0f8dee · outbound

This paper cites Who is Real Bob? Adversarial Attacks on Speaker Recognition Systems,.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Who is Real Bob? Adversarial Attacks on Speaker Recognition Systems,

Reference 16

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Observation e8959a6b-1665-4098-bd2d-7b17c5ec1ad0 · outbound

This paper cites Speaker-specific Utterance En- semble Based Transfer Attack on Speaker Identification,.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Speaker-specific Utterance En- semble Based Transfer Attack on Speaker Identification,

Reference 17

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Observation 9be715c9-640d-4e6a-9d8d-ff7f309625cc · outbound

This paper cites Interpretable Spectrum Transformation Attacks to Speaker Recognition Systems,.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Interpretable Spectrum Transformation Attacks to Speaker Recognition Systems,

Reference 18

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Observation 16fdd9bc-b113-4e11-a670-fac97455173c · outbound

This paper cites Real-time, Universal, and Robust Adversarial Attacks against Speaker Recognition Systems,.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Real-time, Universal, and Robust Adversarial Attacks against Speaker Recognition Systems,

Reference 19

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Observation 4deeefa8-7a6f-4577-8766-a885277da6bb · outbound

This paper cites CommanderSong: A Systematic Approach for Practical Adversarial V oice Recognition,.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses CommanderSong: A Systematic Approach for Practical Adversarial V oice Recognition,

Reference 20

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Observation 0011003a-c5d5-4913-a243-990fc8b39649 · outbound

This paper cites Black-Box Adversarial Attacks on Commercial Speech Platforms with Minimal Information,.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Black-Box Adversarial Attacks on Commercial Speech Platforms with Minimal Information,

Reference 21

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Observation 133428ce-8164-4643-8b50-922b1e510ac7 · outbound

This paper cites QFA2SR: Query-Free Ad- versarial Transfer Attacks to Speaker Recognition Systems,.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses QFA2SR: Query-Free Ad- versarial Transfer Attacks to Speaker Recognition Systems,

Reference 22

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Observation 1e3966f3-53bc-4f64-8511-38e94ba2eca5 · outbound

This paper cites Effective and Inconspicuous Over-the-air Adversarial Examples with Adaptive Filtering,.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Effective and Inconspicuous Over-the-air Adversarial Examples with Adaptive Filtering,

Reference 23

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Observation abbaffdd-d7bc-4984-997d-6fd13308bd13 · outbound

This paper cites UTIO: Universal, Targeted, Im- perceptible and Over-the-air Audio Adversarial Example,.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses UTIO: Universal, Targeted, Im- perceptible and Over-the-air Audio Adversarial Example,

Reference 24

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Observation 5ac9661d-5a89-47a8-a473-6676d7ff6602 · outbound

This paper cites Neural Codec-based Adversarial Sample Detection for Speaker Verification.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Neural Codec-based Adversarial Sample Detection for Speaker Verification

Reference 25

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Observation 88ebf3e8-b178-4684-b17b-e03373ef44de · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks,.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Towards Deep Learning Models Resistant to Adversarial Attacks,

Reference 26

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Observation 4e784a7e-a083-4458-9281-3654b84f2074 · outbound

This paper cites Amphion: An Open-Source Audio, Music and Speech Generation Toolkit.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Amphion: An Open-Source Audio, Music and Speech Generation Toolkit

Reference 27

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Observation 8623222a-d6e0-4eec-9ba4-f132b042c462 · outbound

This paper cites Emilia: An Extensive, Multilingual, and Diverse Speech Dataset for Large-Scale Speech Generation.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Emilia: An Extensive, Multilingual, and Diverse Speech Dataset for Large-Scale Speech Generation

Reference 28

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Observation 62a1e95b-9856-4c1d-859f-0680d0652ae3 · outbound

This paper cites Wave-U-Net: A Multi-scale Neural Network for End-to-end Audio Source Separation,.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Wave-U-Net: A Multi-scale Neural Network for End-to-end Audio Source Separation,

Reference 29

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Observation b91816a4-e03c-4163-b4da-44ab02388d55 · outbound

This paper cites Deep One-class Classification,.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Deep One-class Classification,

Reference 30

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Observation 55342029-c786-4b4c-b6b0-1f448dd92ae4 · outbound

This paper cites Wav2vec 2.0: A Framework for Self-supervised Learning of Speech Representations,.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Wav2vec 2.0: A Framework for Self-supervised Learning of Speech Representations,

Reference 31

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Observation ad1cfe73-187e-42fc-afa4-635470ff9eb0 · outbound

This paper cites Self-supervised Speech Representation Learning: A Review,.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Self-supervised Speech Representation Learning: A Review,

Reference 32

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Observation 39faff29-e06d-48b7-982f-5539422ffe57 · outbound

This paper cites Libri-Light: A Benchmark for Asr with Limited Or No Supervision,.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Libri-Light: A Benchmark for Asr with Limited Or No Supervision,

Reference 33

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Observation c9d58d29-73fe-4c9f-ab94-d69d6a9dd008 · outbound

This paper cites V oxCeleb2: Deep Speaker Recognition,.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses V oxCeleb2: Deep Speaker Recognition,

Reference 34

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Observation afc1c048-52e8-4e50-8da6-7d91fd894a13 · outbound

This paper cites A Kernel Method for the Two-sample-problem,.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses A Kernel Method for the Two-sample-problem,

Reference 35

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Observation 26fdd8f8-da11-4814-9cb4-4ac9e148cd74 · outbound

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

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in Tdnn Based Speaker Verification,

Reference 36

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source=pdf_text observed=2026-08-04T19:27:38.537132Z digest=sha256:375ca7a5af8a692436abfb6d02942c55868bf491ee46c3aec0f70ccb8eecbc70

Observation 4a26c303-dd65-4d05-b2ee-1c592f2b2940 · outbound

This paper cites X- Vectors: Robust Dnn Embeddings for Speaker Recognition,.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses X- Vectors: Robust Dnn Embeddings for Speaker Recognition,

Reference 37

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no resolver link, observed 2026-08-04T19:27:38.539587Z

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source=pdf_text observed=2026-08-04T19:27:38.539587Z digest=sha256:8cbc0410fd24c4a36631c3c1d044bc21659ec05f66b3b5b62a44c18b4f95ab72

Observation fb51a6ca-a3ce-4df0-b8ea-1ee6bf370248 · outbound

This paper cites The Ins and Outs of Speaker Recognition: Lessons From V oxsrc 2020,.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses The Ins and Outs of Speaker Recognition: Lessons From V oxsrc 2020,

Reference 38

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unresolved
no resolver link, observed 2026-08-04T19:27:38.542159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:27:38.542159Z digest=sha256:36de2dc7dde48eaa6cdec802d8642271febdd66e3084c9690ed536dd5f053961

Observation 46faf9b5-f2dc-412e-98a1-a1105033070d · outbound

This paper cites Pushing the Limits of Raw Waveform Speaker Recognition,.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Pushing the Limits of Raw Waveform Speaker Recognition,

Reference 39

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unresolved
no resolver link, observed 2026-08-04T19:27:38.544463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:27:38.544463Z digest=sha256:57ac943eee141810a63940cfaa6e1d9867035287d7c69f60fa8a4cd86f95f29e

Observation 64dafd7f-c3b2-49ee-a85d-3045947d8d7b · outbound

This paper cites V oxCeleb: A Large-scale Speaker Identification Dataset,.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses V oxCeleb: A Large-scale Speaker Identification Dataset,

Reference 40

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unresolved
no resolver link, observed 2026-08-04T19:27:38.546896Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T19:27:38.546896Z digest=sha256:9792ab0730bba1e0dcd96a4dc9cc1e2581f517cc4a4c543ca10e77b9f0bf6977

Observation 556a9932-7ba2-435c-9666-4109c68c4258 · outbound

This paper cites CSTR VCTK Corpus: English Multi-speaker Corpus for CSTR V oice Cloning Toolkit,.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses CSTR VCTK Corpus: English Multi-speaker Corpus for CSTR V oice Cloning Toolkit,

Reference 41

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unresolved
no resolver link, observed 2026-08-04T19:27:38.549422Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T19:27:38.549422Z digest=sha256:df80eaa48f7e2926784c23c03dbc606d3bcbc2c498368dc68741f23c71202b70

Observation 15e9fc80-7cbc-440d-be9b-ca88224da344 · outbound

This paper cites Parallel Wavegan: A Fast Waveform Generation Model Based on Generative Adversarial Networks with Multi-resolution Spectrogram,.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Parallel Wavegan: A Fast Waveform Generation Model Based on Generative Adversarial Networks with Multi-resolution Spectrogram,

Reference 42

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unresolved
no resolver link, observed 2026-08-04T19:27:38.551953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:27:38.551953Z digest=sha256:c29de3c1df87e97aa549ce8713f6c3d381c85cb8b5b2350fc54e1cab98d8be46

Observation 7ef4410e-c3f4-4567-94cb-570e9caae000 · outbound

This paper cites Visualizing Data Using T-SNE.

Over-the-Air Adversarial Attack Detection: from Datasets to Defenses Visualizing Data Using T-SNE

Reference 43

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unresolved
no resolver link, observed 2026-08-04T19:27:38.554271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:27:38.554271Z digest=sha256:2c2cdf373903a0ce568921ef9ba87bbb81f6b22a7d414f0215892f44164e612b

Pith citing papers

No inbound Pith citation observations are available.