Paper Citation Record · LEDGER

On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection

As of 17 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 2 inbound Pith citation observations for arXiv:2412.09195.

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

pith.paper-citation-record.v1
2412.09195 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:18:46.602499Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:18:46.411768Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T17:18:46.727123Z

Reference resolution

34 of 34 outbound references displayed

verified exact2
verified fuzzy27
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 24207fec-b7d5-43a4-897d-283a07994cb9 · outbound

This paper cites On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection.

On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-11T17:18:46.732070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ddd7268f-cf8c-4b72-908a-a929decda33b · outbound

This paper cites 1, given an original speech of Speaker A, the adversarial perturbation is generated and added to it, re- sulting in its anonymized version.

On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection 1, given an original speech of Speaker A, the adversarial perturbation is generated and added to it, re- sulting in its anonymized version

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:18:47.480222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5f84952b-c9ca-4a3b-ade9-c93b8ca12baa · outbound

This paper cites an unresolved cited work.

On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-11T17:18:47.469318Z

Source-reported events for the cited work

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Observation 8670fae9-1efb-40b0-bda3-aad7ad38fc08 · outbound

This paper cites the attack mechanism.

On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection the attack mechanism

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:18:47.458213Z

Source-reported events for the cited work

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Observation 1f824c29-a7da-450e-b3b5-4866952add58 · outbound

This paper cites an unresolved cited work.

On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-11T17:18:47.437831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 68bebea3-48a1-4821-b989-c37ffe61d135 · outbound

This paper cites Datasets Our experiments were conducted on the LibriSpeech corpus [18].

On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection Datasets Our experiments were conducted on the LibriSpeech corpus [18]

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:18:47.421121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9c3570d7-4864-4bca-8cb2-7e82786b8b72 · outbound

This paper cites Hear” no evil.

On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection Hear” no evil

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:18:47.272900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 43497522-6253-40c6-b260-a917a583a0dd · outbound

This paper cites Adversarial attacks on GMM I-Vector based speaker verification systems,.

On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection Adversarial attacks on GMM I-Vector based speaker verification systems,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:18:47.179924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 096370e0-60f5-4c54-a2f9-1cbde1c87387 · outbound

This paper cites A well- informed scenario is considered where modules for speaker adversarial generation and removal modules are trained jointly.

On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection A well- informed scenario is considered where modules for speaker adversarial generation and removal modules are trained jointly

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:18:47.376963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3423a0aa-8977-447c-8e2d-5e1461bb298a · outbound

This paper cites Deep neural network embeddings for text-independent speaker verification.,.

On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection Deep neural network embeddings for text-independent speaker verification.,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:18:47.351748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 919f1622-e356-43f6-a629-1bd5c3b0cb2b · outbound

This paper cites ECAPA-TDNN: Empha- sized channel attention, propagation and aggregation in tdnn based speaker verification,.

On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection ECAPA-TDNN: Empha- sized channel attention, propagation and aggregation in tdnn based speaker verification,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:18:47.339975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 55785106-d4ac-4d54-aace-d7c4a4a027c0 · outbound

This paper cites Deep residual learning for image recognition,.

On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection Deep residual learning for image recognition,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:18:47.326547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation de007c25-01b3-4931-a5e6-ff3a4e0b719f · outbound

This paper cites A review of deep learning based speech synthesis,.

On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection A review of deep learning based speech synthesis,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:18:47.313878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4b8f9ab8-18fa-4423-90a4-9e8b802532d6 · outbound

This paper cites Explaining and harnessing ad- versarial examples,.

On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection Explaining and harnessing ad- versarial examples,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:18:47.300379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a215a6d1-ea3d-497c-9be9-a9345f095dc7 · outbound

This paper cites Imperceptible black-box waveform-level adversarial attack towards automatic speaker recognition,.

On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection Imperceptible black-box waveform-level adversarial attack towards automatic speaker recognition,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:18:47.285697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3dcf4f92-f078-45f9-adcd-2ac394cedad6 · outbound

This paper cites Symmetric saliency-based adversarial attack to speaker identification,.

On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection Symmetric saliency-based adversarial attack to speaker identification,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:18:47.044517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 44b6123b-0d5f-413f-b64b-5d28e29572d3 · outbound

This paper cites Emphasized non-target speaker knowledge in knowledge distillation for auto- matic speaker verification,.

On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection Emphasized non-target speaker knowledge in knowledge distillation for auto- matic speaker verification,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:18:47.031040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 37698c31-755b-42ac-9711-747cfdd963e1 · outbound

This paper cites Universal adversarial perturbations generative network for speaker recognition,.

On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection Universal adversarial perturbations generative network for speaker recognition,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:18:47.095574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1cf26a7d-46e2-470c-87d9-eb6a301e0848 · outbound

This paper cites The MUSAN corpus [22] and the RIR datasets [23] were applied for data augmentation.

On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection The MUSAN corpus [22] and the RIR datasets [23] were applied for data augmentation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:18:47.406483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 85e0541c-f4e4-40d1-a6ba-54ebcced16d7 · outbound

This paper cites V oice guard: protecting voice pri- vacy with strong and imperceptible adversarial perturba- tion in the time domain,.

On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection V oice guard: protecting voice pri- vacy with strong and imperceptible adversarial perturba- tion in the time domain,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:18:47.083442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9b1d0049-9090-49aa-bfcb-ba7706fee252 · outbound

This paper cites Adversarial speech for voice privacy protection from Personalized Speech generation.

On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection Adversarial speech for voice privacy protection from Personalized Speech generation

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-11T17:18:46.703433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d8d7b0eb-8b64-4611-a8b6-476ee2a23487 · outbound

This paper cites The defender's perspective on automatic speaker verification: An overview.

On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection The defender's perspective on automatic speaker verification: An overview

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T17:18:46.507194Z

Source-reported events for the cited work

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Observation 6db67c6c-cf11-47b6-b13e-75bd047d24a0 · outbound

This paper cites Towards understanding and mit- igating audio adversarial examples for speaker recogni- tion,.

On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection Towards understanding and mit- igating audio adversarial examples for speaker recogni- tion,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:18:47.070870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ec8a2f83-8420-4876-869f-65d9ed967c43 · outbound

This paper cites In our evaluations, PESQ adopted the range from −0.5 to 4.5.

On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection In our evaluations, PESQ adopted the range from −0.5 to 4.5

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:18:47.391572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 34f7bf98-6a0f-4929-8a0a-33a1b70d1b6d · outbound

This paper cites A unified speech enhancement ap- proach to mitigate both background noises and adver- sarial perturbations,.

On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection A unified speech enhancement ap- proach to mitigate both background noises and adver- sarial perturbations,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:18:47.057707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 22e126fe-fc8f-4082-beb0-8a2cdacf85f5 · outbound

This paper cites Diffusion-Based Adversarial Purification for Speaker Verification.

On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection Diffusion-Based Adversarial Purification for Speaker Verification

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T17:18:46.523306Z

Source-reported events for the cited work

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Observation cd9cd5ca-9a31-4385-af81-d30ac356c815 · outbound

This paper cites Librispeech: an asr corpus based on public domain audio books,.

On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection Librispeech: an asr corpus based on public domain audio books,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:18:47.018292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 68b527fb-aefd-40b2-960a-c692a3c5d38b · outbound

This paper cites V oxCeleb: a large-scale speaker iden- tification dataset,.

On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection V oxCeleb: a large-scale speaker iden- tification dataset,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:18:46.936679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 042b3885-18f3-4ab2-832b-50126d6ee87a · outbound

This paper cites V oxCeleb2: Deep speaker recognition,.

On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection V oxCeleb2: Deep speaker recognition,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:18:46.858031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e78f1bf2-bd04-4365-8fb0-0a82b97257fb · outbound

This paper cites ASV-Subtools: Open source toolkit for automatic speaker verification,.

On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection ASV-Subtools: Open source toolkit for automatic speaker verification,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:18:46.818670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 123d82a0-4f5e-4d36-943c-6276f94b5414 · outbound

This paper cites MUSAN: A Music, Speech, and Noise Corpus.

On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection MUSAN: A Music, Speech, and Noise Corpus

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T17:18:46.587895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e46e703-2600-4136-a323-c5b53feede02 · outbound

This paper cites A study on data augmentation of rever- berant speech for robust speech recognition,.

On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection A study on data augmentation of rever- berant speech for robust speech recognition,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:18:46.786703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b2127c87-7656-4a8b-b1e0-81c0180c422e · outbound

This paper cites Evaluation of objective quality measures for speech enhancement,.

On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection Evaluation of objective quality measures for speech enhancement,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:18:46.768487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a8f56372-8f6b-4f3c-bafd-00b6143baf25 · outbound

This paper cites Robust speech recognition via large-scale weak supervision,.

On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection Robust speech recognition via large-scale weak supervision,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:18:46.747232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation 24207fec-b7d5-43a4-897d-283a07994cb9 · inbound