Paper Citation Record · LEDGER

Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning

As of 17 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2607.17098.

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

pith.paper-citation-record.v1
2607.17098 v1

Coverage vector

measured 38 of 38 reference resolution

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measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T19:06:15.163681Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

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External citation measurements

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Outbound references

Observation 842ac20a-ae21-4b48-9d30-613cc11ca2b9 · outbound

This paper cites an unresolved cited work.

Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning Unresolved cited work

Reference 1

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Observation 64b37f6d-b5e7-457e-a34f-556ba60e3986 · outbound

This paper cites Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning.

Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning

Reference 2

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This paper cites an unresolved cited work.

Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning Unresolved cited work

Reference 3

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Observation 053077a7-31eb-4bbe-aca2-9374eebc85ef · outbound

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Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning Unresolved cited work

Reference 4

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Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning Unresolved cited work

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This paper cites ,0.002}), fre- quency masking (M = 3Mel bands), and time stretching (τ = 2.5).

Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning ,0.002}), fre- quency masking (M = 3Mel bands), and time stretching (τ = 2.5)

Reference 6

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Observation 501959c0-4ba0-4b02-ad1e-fae8e516aa92 · outbound

This paper cites an unresolved cited work.

Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning Unresolved cited work

Reference 7

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Observation b6b85ea3-847b-4061-b69c-e52f6f360440 · outbound

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Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning Unresolved cited work

Reference 8

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Observation aa040a05-e1d2-496f-bda8-4b105c230633 · outbound

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Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning Unresolved cited work

Reference 9

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Observation 987b74c0-1bb1-4699-ab6c-35d944118e1a · outbound

This paper cites Estimation of the global prevalence of dementia in 2019 and forecasted preva- lence in 2050: an analysis for the global burden of disease study 2019,.

Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning Estimation of the global prevalence of dementia in 2019 and forecasted preva- lence in 2050: an analysis for the global burden of disease study 2019,

Reference 10

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Observation e2dab097-127e-4c75-bcae-3ad4f774e08a · outbound

This paper cites V oice biomarkers in middle and later adult- hood as predictors of cognitive changes,.

Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning V oice biomarkers in middle and later adult- hood as predictors of cognitive changes,

Reference 11

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Observation 8163f1b6-1504-4cda-a42e-482914800179 · outbound

This paper cites Speech-based detection of alzheimer’s dis- ease: A survey of ai techniques, datasets and challenges,.

Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning Speech-based detection of alzheimer’s dis- ease: A survey of ai techniques, datasets and challenges,

Reference 12

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Observation 059342e2-238b-4d8e-a24b-18ba6cf996c6 · outbound

This paper cites Speech pause distribution as an early marker for alzheimer’s disease,.

Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning Speech pause distribution as an early marker for alzheimer’s disease,

Reference 13

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Observation 3b9e3ab9-7368-4a95-be96-48338206afc9 · outbound

This paper cites Researchers develop computational tools to safeguard privacy without degrading voice- based cognitive markers,.

Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning Researchers develop computational tools to safeguard privacy without degrading voice- based cognitive markers,

Reference 14

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Observation 2441605b-c207-427a-85ec-b613f58790ee · outbound

This paper cites Prosody-driven privacy-preserving de- mentia detection,.

Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning Prosody-driven privacy-preserving de- mentia detection,

Reference 15

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Observation a38a5054-3224-47d3-a1ed-345fbcedfd2d · outbound

This paper cites Network information security protection method based on additive gaussian noise and mutual information neural network in cloud computing background,.

Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning Network information security protection method based on additive gaussian noise and mutual information neural network in cloud computing background,

Reference 16

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Observation 1ef66fc0-7aae-4b01-929b-bfddafb03302 · outbound

This paper cites Addressing challenges in speaker anonymization to maintain utility while ensuring privacy of patho- logical speech,.

Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning Addressing challenges in speaker anonymization to maintain utility while ensuring privacy of patho- logical speech,

Reference 17

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Observation 5fb25ab8-2f3d-4576-bf31-db31796afaa9 · outbound

This paper cites Differential privacy enabled dementia classification: An exploration of the privacy-accuracy trade-off in speech signal data,.

Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning Differential privacy enabled dementia classification: An exploration of the privacy-accuracy trade-off in speech signal data,

Reference 18

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Observation 2edbe9ca-1dcb-4421-9f89-13dc5cc370ea · outbound

This paper cites Crowdotic: A Privacy-Preserving Hospital Waiting Room Crowd Density Estimation with Non-speech Audio.

Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning Crowdotic: A Privacy-Preserving Hospital Waiting Room Crowd Density Estimation with Non-speech Audio

Reference 19

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Observation 80750e96-49ec-4ece-ba23-265685bb1b35 · outbound

This paper cites Io-rae: Information-obfuscation reversible ad- versarial example for audio privacy protection,.

Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning Io-rae: Information-obfuscation reversible ad- versarial example for audio privacy protection,

Reference 20

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Observation a33331ec-3ee9-4868-a9a2-a3f2d1945366 · outbound

This paper cites Dementiabank: Theoretical rationale, protocol, and illustrative analyses,.

Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning Dementiabank: Theoretical rationale, protocol, and illustrative analyses,

Reference 21

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Observation bc8f3a0c-23c1-4560-a0a1-0bd9bfb7ded1 · outbound

This paper cites The natural history of alzheimer’s disease. description of study cohort and accuracy of diagnosis,.

Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning The natural history of alzheimer’s disease. description of study cohort and accuracy of diagnosis,

Reference 22

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Observation 47797336-f578-44e5-8ea9-6a3e297b1558 · outbound

This paper cites Intriguing properties of neural networks,.

Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning Intriguing properties of neural networks,

Reference 23

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Observation 6bc18915-dcf2-4c21-82e2-4207395c191b · outbound

This paper cites Explaining and harnessing adversar- ial examples,.

Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning Explaining and harnessing adversar- ial examples,

Reference 24

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Observation d96c719c-b76d-48c6-8b3a-e79eb1be7325 · outbound

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

Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning Audio adversarial examples: Targeted attacks on speech-to-text,

Reference 25

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This paper cites Imperceptible, robust, and targeted adversarial ex- amples for automatic speech recognition,.

Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning Imperceptible, robust, and targeted adversarial ex- amples for automatic speech recognition,

Reference 26

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Observation 8ae79202-c0c8-4a2a-9d34-95142a581249 · outbound

This paper cites Ecapa-tdnn embeddings for speaker diarization,.

Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning Ecapa-tdnn embeddings for speaker diarization,

Reference 27

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Observation 2d4e0756-56b4-44a8-8307-2f6ac721b423 · outbound

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Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning Model inversion attacks: A survey of ap- proaches and defenses,

Reference 28

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Observation 81411399-664b-4178-8dd7-1bb158cf9097 · outbound

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

Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection

Reference 29

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Observation 95fae2f0-3d30-4841-bfb2-d9e92268d60b · outbound

This paper cites A speech representation anonymiza- tion framework via selective noise perturbation,.

Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning A speech representation anonymiza- tion framework via selective noise perturbation,

Reference 30

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This paper cites wav2vec 2.0: a framework for self- supervised learning of speech representations,.

Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning wav2vec 2.0: a framework for self- supervised learning of speech representations,

Reference 31

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Observation 3e883a43-c52c-44be-b64c-afcd98bfe3d9 · outbound

This paper cites Introducing parselmouth: A python interface to praat,.

Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning Introducing parselmouth: A python interface to praat,

Reference 32

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

Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning ECAPA-TDNN: Emphasized channel attention, propagation and aggregation in TDNN based speaker verification,

Reference 33

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Observation 1074df68-43c5-479b-bbdd-d1e9508ae2e0 · outbound

This paper cites Domain adaptation using a gradient reversal layer with instance weighting,.

Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning Domain adaptation using a gradient reversal layer with instance weighting,

Reference 34

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This paper cites Performance on the boston cookie theft picture description task in patients with early dementia of the alzheimer’s type: Missing information,.

Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning Performance on the boston cookie theft picture description task in patients with early dementia of the alzheimer’s type: Missing information,

Reference 35

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Observation 86a15aa3-d302-4ffa-837f-7a85b8e56d75 · outbound

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

Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning Robust speech recognition via large-scale weak supervision,

Reference 36

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This paper cites An algorithm for intelligibility prediction of time–frequency weighted noisy speech,.

Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning An algorithm for intelligibility prediction of time–frequency weighted noisy speech,

Reference 37

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Observation cfc71ecf-2476-4c77-beb3-9e015d60f7d7 · outbound

This paper cites Perceptual evaluation of speech qual- ity (pesq)-a new method for speech quality assessment of tele- phone networks and codecs,.

Multi-Level Privacy-Preserving Dementia Detection from Speech via Targeted Adversarial Obfuscation and Representation Learning Perceptual evaluation of speech qual- ity (pesq)-a new method for speech quality assessment of tele- phone networks and codecs,

Reference 38

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Pith citing papers

Observation 64b37f6d-b5e7-457e-a34f-556ba60e3986 · inbound