Paper Citation Record · LEDGER

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations

As of 20 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2508.19180.

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

pith.paper-citation-record.v1
2508.19180 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:58:54.082592Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

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

measured 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

34 of 34 outbound references displayed

verified exact1
verified fuzzy30
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 602ad302-7bc7-4e3e-b1fd-0170abd8c65c · outbound

This paper cites Malacopula: adversarial automatic speaker verification attacks using a neural-based gener- alised hammerstein model,.

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations Malacopula: adversarial automatic speaker verification attacks using a neural-based gener- alised hammerstein model,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:58:54.908063Z

Source-reported events for the cited work

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

Observation 9b38fd7c-5c63-41a0-a6f7-18f2ffc9d48c · outbound

This paper cites Intriguing properties of neural networks.

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations Intriguing properties of neural networks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T15:58:52.673674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f7bd22b-8068-4822-955b-010fb230afa4 · outbound

This paper cites x-vectors meet adversarial attacks: Benchmarking adversarial robustness in speaker verification,.

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations x-vectors meet adversarial attacks: Benchmarking adversarial robustness in speaker verification,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:58:54.889103Z

Source-reported events for the cited work

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

Observation 8c2424a1-351f-43d1-8687-949b4b41b553 · outbound

This paper cites Asvspoof 2019: Future horizons in spoofed and fake audio detection,.

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations Asvspoof 2019: Future horizons in spoofed and fake audio detection,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:58:54.872263Z

Source-reported events for the cited work

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

Observation 15739e48-e48f-4d0f-8c02-f26a8ea92292 · outbound

This paper cites Adversarial attacks and defenses in speaker recognition systems: A survey,.

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations Adversarial attacks and defenses in speaker recognition systems: A survey,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:58:54.852999Z

Source-reported events for the cited work

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

Observation 82ab95a1-61e8-4428-b81e-26fb60eea379 · outbound

This paper cites Adversarial attack and defense strategies of speaker recognition systems: A survey,.

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations Adversarial attack and defense strategies of speaker recognition systems: A survey,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:58:54.835575Z

Source-reported events for the cited work

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

Observation f193c0e4-a466-46ee-976a-adcee9d3cd95 · outbound

This paper cites Review of data processing methods used in predictive maintenance for next generation heavy machinery,.

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations Review of data processing methods used in predictive maintenance for next generation heavy machinery,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:58:54.816752Z

Source-reported events for the cited work

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

Observation 2d5c88ba-382c-49fd-9e21-44039dec54db · outbound

This paper cites Scalable ensemble-based detection method against adversarial at- tacks for speaker verification,.

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations Scalable ensemble-based detection method against adversarial at- tacks for speaker verification,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:58:54.793846Z

Source-reported events for the cited work

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

Observation 5abc31dc-753a-444f-b2cc-5518fdcd8062 · outbound

This paper cites Lmd: A learnable mask network to detect ad- versarial examples for speaker verification,.

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations Lmd: A learnable mask network to detect ad- versarial examples for speaker verification,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:58:54.771921Z

Source-reported events for the cited work

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

Observation 8bbc4465-4de4-47a7-b173-249d464241a8 · outbound

This paper cites Improving the adversarial robustness for speaker veri- fication by self-supervised learning,.

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations Improving the adversarial robustness for speaker veri- fication by self-supervised learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:58:54.752682Z

Source-reported events for the cited work

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

Observation d49cc0c3-4c24-4ad9-9c8b-a042682d7c78 · outbound

This paper cites Neural codec-based adversarial sample detection for speaker verification,.

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations Neural codec-based adversarial sample detection for speaker verification,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:58:54.730573Z

Source-reported events for the cited work

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

Observation fb396d88-b17c-4186-9123-13516b39264b · outbound

This paper cites Investigating robustness of adversarial samples detection for automatic speaker verification,.

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations Investigating robustness of adversarial samples detection for automatic speaker verification,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:58:54.711038Z

Source-reported events for the cited work

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

Observation 8067fe4c-1913-42c9-9d40-222c96cc85e2 · outbound

This paper cites Advest: Adversarial perturbation estimation to classify and detect adversarial attacks against speaker identification,.

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations Advest: Adversarial perturbation estimation to classify and detect adversarial attacks against speaker identification,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:58:54.695853Z

Source-reported events for the cited work

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

Observation ab311c33-ee7f-4059-bb9c-89cdf61e98db · outbound

This paper cites Diffusion-based adver- sarial purification for speaker verification,.

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations Diffusion-based adver- sarial purification for speaker verification,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:58:54.678322Z

Source-reported events for the cited work

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

Observation 0dbee716-1862-4b68-abb8-daf3de82f678 · outbound

This paper cites Textual- driven adversarial purification for speaker verification,.

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations Textual- driven adversarial purification for speaker verification,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:58:54.662953Z

Source-reported events for the cited work

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

Observation d2c21e97-1470-44a7-ac39-27d71a0a2c9c · outbound

This paper cites Adversarial purification for speaker verification by two-stage diffusion models,.

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations Adversarial purification for speaker verification by two-stage diffusion models,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:58:54.643748Z

Source-reported events for the cited work

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

Observation bd22d122-54a3-4794-bb44-fe4e1c279789 · outbound

This paper cites Denoising diffusion probabilistic models,.

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations Denoising diffusion probabilistic models,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T15:58:54.003505Z

Source-reported events for the cited work

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Observation 80b9bbe6-6308-4ba0-93bd-48fad58e9638 · outbound

This paper cites Deep unsupervised learning using nonequi- librium thermodynamics,.

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations Deep unsupervised learning using nonequi- librium thermodynamics,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:58:54.616386Z

Source-reported events for the cited work

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

Observation 9c6c54df-db39-4fa1-91aa-5529e901ed3c · outbound

This paper cites X-vectors: Robust dnn embeddings for speaker recognition,.

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations X-vectors: Robust dnn embeddings for speaker recognition,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:58:54.595525Z

Source-reported events for the cited work

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

Observation d5066bda-08d3-4152-b070-f1b7ad5515a8 · outbound

This paper cites Ecapa-tdnn: Emphasized channel attention, propagation and aggregation in tdnn based speaker verification,.

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations Ecapa-tdnn: Emphasized channel attention, propagation and aggregation in tdnn based speaker verification,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:58:54.575174Z

Source-reported events for the cited work

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

Observation b6a3ebe4-9bbe-4302-bea4-fea1b4274281 · outbound

This paper cites Large-scale self-supervised speech representation learning for automatic speaker ver- ification,.

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations Large-scale self-supervised speech representation learning for automatic speaker ver- ification,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:58:54.552468Z

Source-reported events for the cited work

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

Observation 5651f9a7-d6f2-4433-a160-98ffdf4e8914 · outbound

This paper cites Adversarial examples in the physical world,.

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations Adversarial examples in the physical world,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:58:54.531078Z

Source-reported events for the cited work

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

Observation 3c43cc56-da2b-433c-84bd-ddf8abf1632a · outbound

This paper cites Towards deep learning models resistant to ad- versarial attacks,.

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations Towards deep learning models resistant to ad- versarial attacks,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:58:54.515909Z

Source-reported events for the cited work

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

Observation ed8a3bfe-7178-4448-a7d4-81dc218ec4a3 · outbound

This paper cites Explaining and harnessing adversarial examples,.

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations Explaining and harnessing adversarial examples,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:58:54.492687Z

Source-reported events for the cited work

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

Observation 10a76d3c-66f7-4dcf-a5e9-f12829eb73fe · outbound

This paper cites High-resolution image synthesis with latent diffusion models,.

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations High-resolution image synthesis with latent diffusion models,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:58:54.467984Z

Source-reported events for the cited work

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

Observation 53866897-0f50-48b2-a1b2-f32d83e71ad6 · outbound

This paper cites Audioldm: Text-to-audio generation with latent diffusion models,.

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations Audioldm: Text-to-audio generation with latent diffusion models,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:58:54.445351Z

Source-reported events for the cited work

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

Observation 2a32b37b-d65e-4be8-b5bf-2f1e9cdf7dda · outbound

This paper cites Diffusion models for image restoration and enhancement–a comprehensive survey,.

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations Diffusion models for image restoration and enhancement–a comprehensive survey,

Reference 27

Resolution: verified exact; raw_fallback, observed 2026-08-05T15:58:54.261398Z

Source-reported events for the cited work

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

Observation 3cbced7d-5ba1-47d8-94bb-df6adb40d9f3 · outbound

This paper cites Conditional diffusion probabilistic model for speech enhancement,.

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations Conditional diffusion probabilistic model for speech enhancement,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:58:54.422387Z

Source-reported events for the cited work

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

Observation d8fcc406-ca99-4ac3-a38d-ed6d19515fd9 · outbound

This paper cites Hifi-gan: Generative adversarial networks for efficient and high fidelity speech synthesis,.

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations Hifi-gan: Generative adversarial networks for efficient and high fidelity speech synthesis,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:58:54.403123Z

Source-reported events for the cited work

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

Observation 4d68976c-8d28-4175-a724-26abea813362 · outbound

This paper cites V oxceleb: A large-scale speaker identification dataset,.

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations V oxceleb: A large-scale speaker identification dataset,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:58:54.377688Z

Source-reported events for the cited work

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

Observation 16ee80da-c3aa-463e-8211-92de4a145580 · outbound

This paper cites Wespeaker: A research and production oriented speaker embedding learning toolkit,.

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations Wespeaker: A research and production oriented speaker embedding learning toolkit,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:58:54.356001Z

Source-reported events for the cited work

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

Observation 06b61e99-6fde-4deb-a33f-daeb94aad832 · outbound

This paper cites HiFi-Codec: Group-residual Vector quantization for High Fidelity Audio Codec.

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations HiFi-Codec: Group-residual Vector quantization for High Fidelity Audio Codec

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T15:58:54.074017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1043d3df-bde0-4630-8bc7-91626303677d · outbound

This paper cites Speech- tokenizer: Unified speech tokenizer for speech language models,.

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations Speech- tokenizer: Unified speech tokenizer for speech language models,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:58:54.333000Z

Source-reported events for the cited work

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

Observation 61f3a593-a9d3-46bd-8b5c-03644fe33edf · outbound

This paper cites High-fidelity audio compression with im- proved rvqgan,.

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations High-fidelity audio compression with im- proved rvqgan,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:58:54.311734Z

Source-reported events for the cited work

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

Pith citing papers

No inbound Pith citation observations are available.