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Paper Citation Record · LEDGER

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks

As of 10 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2501.18727.

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

pith.paper-citation-record.v1
2501.18727 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T22:45:16.498520Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

45 of 45 outbound references displayed

  • verified exact3
  • verified fuzzy37
  • unresolved5
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2c7186fd-0301-4d95-8ba9-55b00813a11b · outbound

This paper cites Music enhances activity in the hypothalamus, brainstem, and anterior cerebellum during script-driven imagery of affective scenes.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Music enhances activity in the hypothalamus, brainstem, and anterior cerebellum during script-driven imagery of affective scenes

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:17.294372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 59c352b8-dcf9-438c-b153-7d252ad4ee2b · outbound

This paper cites Alexa, siri, cortana, and more: an introduction to voice assistants.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Alexa, siri, cortana, and more: an introduction to voice assistants

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:17.278895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation eb1953e1-9de3-4c1c-a56b-2f082f9bccdc · outbound

This paper cites 3-d sound for virtual reality and multimedia.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks 3-d sound for virtual reality and multimedia

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-09T22:45:16.272549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 05c83480-a981-43f5-b1f9-5ac4e794b30e · outbound

This paper cites Audio-visual perception of omnidirectional video for virtual reality applications.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Audio-visual perception of omnidirectional video for virtual reality applications

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:17.252671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T22:45:16.278629Z digest=sha256:743f306ba601b64cc32d7ab85b1ad5f91970c80ce6e05923b86b9d3f9447c41e

Observation 43bf2f05-9643-417a-87fa-10d0868bb0aa · outbound

This paper cites New Challenges for Content Privacy in Speech and Audio.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks New Challenges for Content Privacy in Speech and Audio

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-09T22:45:16.284148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:45:16.284148Z digest=sha256:4d9c5a8921896af57c77c65c48e52252f333e4eb4d466af230427153ee268400

Observation be220304-bf83-4de7-bad6-19266c79914a · outbound

This paper cites Privacy risks in speech emotion recognition: A systematic study on gender inference attack.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Privacy risks in speech emotion recognition: A systematic study on gender inference attack

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:17.237001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T22:45:16.289863Z digest=sha256:4cf1cffcf2de49fd434ba9b2b137b5d1baa3c41cbd7f164ba603b184df8c529e

Observation ae3ea1bc-b9f0-4670-b453-1e8b97e8da4f · outbound

This paper cites Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-09T22:45:16.617443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T22:45:16.295603Z digest=sha256:b7f7a6e270af72caa966422ebc48d023f18ca8c698653a9315a87ce106e2e166

Observation 2245bba8-1fd9-4828-a322-e5cd002bb2a8 · outbound

This paper cites Zooming into video conferencing privacy.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Zooming into video conferencing privacy

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:17.221045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T22:45:16.301135Z digest=sha256:9eee710b61f1fd6f75b51471e6922b81f8cdadf37bb4209778f92a0802e73e2d

Observation 0e9f96ca-a5f6-45d0-b32a-74f43625486d · outbound

This paper cites Shahid and Ahmed Imteaj.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Shahid and Ahmed Imteaj

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:17.204694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T22:45:16.306069Z digest=sha256:d88ba33b4c515436dfa73f954c178684196b483f173af58f3a7fe27ac0d44f6b

Observation 8c1b9876-da57-4f99-b6d9-3af43a12896e · outbound

This paper cites Sok: Data privacy in virtual reality.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Sok: Data privacy in virtual reality

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:17.189096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation da2dcf55-cefe-4028-955b-56c1f24b652d · outbound

This paper cites Privacy preservation in artificial intelligence and extended reality (ai-xr) metaverses: A survey, 2023.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Privacy preservation in artificial intelligence and extended reality (ai-xr) metaverses: A survey, 2023

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:17.173265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 2f55b86d-81f9-4b02-aeb8-3c29d3c28b83 · outbound

This paper cites Privacy of the metaverse: Current issues, ai attacks, and possible solutions.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Privacy of the metaverse: Current issues, ai attacks, and possible solutions

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:17.157911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T22:45:16.321175Z digest=sha256:b831e16c429bc3e3aa43eb8405a0f9d688607fea09ed32803e2de2e958e21302

Observation d13a976f-d3ff-4295-9f83-c15cc5b377b5 · outbound

This paper cites Gradient-level differential privacy against attribute inference attack for speech emotion recognition.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Gradient-level differential privacy against attribute inference attack for speech emotion recognition

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:17.138198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T22:45:16.326827Z digest=sha256:aa489be57a995c63eff35f3274b04426416854d766bda8f7fdd1a5ae1dc4ed65

Observation c179a4a4-5491-40d6-b9bc-9d3a5b400999 · outbound

This paper cites Privacy-preserving voice analysis via disentangled representa- tions.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Privacy-preserving voice analysis via disentangled representa- tions

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:17.119311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T22:45:16.332564Z digest=sha256:cea13c2c53f27732017d130fa75abd9f13a2778085dec0f840ae59aa1e8a7f5b

Observation 2a2051e8-4700-4dc2-a450-5d49868bc929 · outbound

This paper cites An opt-in framework for privacy protection in audio-based applications.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks An opt-in framework for privacy protection in audio-based applications

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:17.101914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T22:45:16.339203Z digest=sha256:cf238e4d269f9afa87cf6c81140b05c7684f3fb34a706e3d6179e30a5b435587

Observation 1256d8d6-d71b-41e8-b65f-b2349892b112 · outbound

This paper cites Privacy against real-time speech emotion detection via acoustic adversarial evasion of machine learning.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Privacy against real-time speech emotion detection via acoustic adversarial evasion of machine learning

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:17.086441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T22:45:16.344265Z digest=sha256:9c29ec15e899c8d4dd67a7bea9debadbf6540a4e3e906e5e85cbcfb89f75814b

Observation 7bd5b20e-5dc7-4954-96e0-a0913bc1ca57 · outbound

This paper cites Apple intelligence.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Apple intelligence

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:17.069802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T22:45:16.349981Z digest=sha256:161f4fa866d6a3b808d624f220863de8e5b8c0d50a824333aa17eb22ed2a840d

Observation 5dd86843-29a2-4e0d-a69a-7b83a0e2032b · outbound

This paper cites Google play store.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Google play store

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:17.053610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T22:45:16.354836Z digest=sha256:ed5097cbe2d1cfc7474c5331f4b78861c7abdc920be9cc0329312d7b6cc49d5b

Observation b3952446-228b-4ee9-bc6d-81510f4e8f05 · outbound

This paper cites Apple app store.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Apple app store

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:17.036589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T22:45:16.360370Z digest=sha256:4a48e648ca8f81150292baddc6a05359e36cf4d92af95f74281cbca3f0836c1a

Observation bb8e4ee0-5a94-4e60-aa46-fe396087e28c · outbound

This paper cites Android official website.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Android official website

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:17.021290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T22:45:16.365159Z digest=sha256:ddd759c5a7211da86ce54d89e70ae0cc7696840b2869bb7ce3e90560090372a6

Observation 790cc745-5208-477b-9ed2-fc9a0796fbbc · outbound

This paper cites ios 18 features.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks ios 18 features

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:17.004994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T22:45:16.370596Z digest=sha256:6c981a975ac9c2ad29f6865de1fbdaab051b63713e46e7a5b792ca825a32df96

Observation c90e693f-1740-4775-862c-9110c330480c · outbound

This paper cites User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition in Federated Learning.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition in Federated Learning

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-09T22:45:16.591569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 9dff57e8-1bf8-47b2-b6dc-049bcb5a529b · outbound

This paper cites Privacy-enhanced federated learning against attribute inference attack for speech emotion recognition.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Privacy-enhanced federated learning against attribute inference attack for speech emotion recognition

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.989643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T22:45:16.382520Z digest=sha256:d828461ae2ce361434b114235482ace120fbd6510d3ff2eac90bb5603f7dad48

Observation 373fbec9-70e2-4bc0-856c-6299d7c7a70d · outbound

This paper cites Effects of pitch and musical sounds on body-representations when moving with sound.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Effects of pitch and musical sounds on body-representations when moving with sound

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.974556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T22:45:16.387928Z digest=sha256:461fbdfb0aae2abfcd1f1898ef3d1890116b91dfde31906951ecf3760d5ed3b6

Observation 51d3e134-c9c1-4f05-80da-1ac4792488fc · outbound

This paper cites Influence of tempo and rhythmic unit in musical emotion regulation.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Influence of tempo and rhythmic unit in musical emotion regulation

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.959177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T22:45:16.392855Z digest=sha256:b790438dddf051e4c7f8761937a65dbbbf1c9329bd3a0b80f95d227e96f90c36

Observation 79e78828-e661-4e2b-b451-411ba447851b · outbound

This paper cites {SMACK}: Semantically meaningful adversarial audio attack.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks {SMACK}: Semantically meaningful adversarial audio attack

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.943615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T22:45:16.398483Z digest=sha256:47d060e6cb3a4823b69c0ee12a98f91df150dd590f2e37d1d801ea1ce658149e

Observation 8bda5314-6a3d-4df9-ac81-adc9daac97bb · outbound

This paper cites A cross-domain exploration of audio and textual data for multi-modal emotion detection.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks A cross-domain exploration of audio and textual data for multi-modal emotion detection

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.927802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T22:45:16.403910Z digest=sha256:0208fbb6458e2b99d5e45d444d0e2a234eb9e62047bcef800b9b380b74a3d9e4

Observation 4d1fba93-07dd-44f6-8b50-d91047a20af5 · outbound

This paper cites an unresolved cited work.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-09T22:45:16.911585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T22:45:16.409243Z digest=sha256:6062d2636d2a1ca40e0eee40e2b098db03707f3fc0d110178fa0533eedf855ce

Observation 5d61ccb3-3b62-427c-b67d-d35de111824f · outbound

This paper cites Speech emotion recognition based on 1d cnn and mfcc.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Speech emotion recognition based on 1d cnn and mfcc

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.895822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T22:45:16.414380Z digest=sha256:1d19dff6e74c68847465012a9d7e82bbf26133ad244f3a2d910b5b1eca98f7f3

Observation ba4a5ea0-9325-437c-b7fb-a50abc8a80d2 · outbound

This paper cites Emotion Recognition in Audio and Video Using Deep Neural Networks.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Emotion Recognition in Audio and Video Using Deep Neural Networks

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-09T22:45:16.565074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T22:45:16.419394Z digest=sha256:388816211f0ed42bcf7da2ca40122678378f7a7ee7948e4d520284b3f928baf1

Observation 77317f37-881b-40e9-a8d1-ef4356544a37 · outbound

This paper cites Beyond Silent Letters: Amplifying LLMs in Emotion Recognition with Vocal Nuances.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Beyond Silent Letters: Amplifying LLMs in Emotion Recognition with Vocal Nuances

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-09T22:45:16.425317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:45:16.425317Z digest=sha256:9bc1bb43f47a1b2369adffabce387e7974c6b531f628b25faf8d3804211bab5d

Observation 54d5034e-016c-42bb-9bfa-4ab989909519 · outbound

This paper cites Secap: Speech emotion captioning with large language model.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Secap: Speech emotion captioning with large language model

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.880384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T22:45:16.432007Z digest=sha256:c79f582be99f02533b0fff74d074326d50229c3ffb82b51fd39096bc2c199d61

Observation 8f115c83-2bc3-4dcd-8873-5476383cf912 · outbound

This paper cites Alexa official website.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Alexa official website

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.864891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T22:45:16.437168Z digest=sha256:a9152e86275afc4521d6769aeaee89803376a8890697df29df80f22250ff8916

Observation 3fb96a2b-009e-486f-b8a6-b0f4ae11a2f7 · outbound

This paper cites Siri by apple.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Siri by apple

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.849678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T22:45:16.442300Z digest=sha256:6d9b92ef2060d8d926d07d679e0330514d072aa6c77f502cd52d6af168d88fc7

Observation 39a352d0-3fd5-4e4b-8fbc-390c481e666f · outbound

This paper cites Google assistant official website.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Google assistant official website

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.832450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T22:45:16.448063Z digest=sha256:a878f2a247fe09adc54571942411991b658917f6b0ce4cfaceb7fadd9a1ddc49

Observation aa17eab1-9cb1-46bb-b7d3-acf36654e3e3 · outbound

This paper cites Chatgpt official website.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Chatgpt official website

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.814472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T22:45:16.453403Z digest=sha256:b1fcf5c2811d410bedc1b3a833819b0a0ef6b4b3f14a4b09206c88114443e4d7

Observation 2d5c5c4d-464b-4820-a773-82756664d417 · outbound

This paper cites Gemini by google.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Gemini by google

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.797761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T22:45:16.458314Z digest=sha256:a87cc614c08647267d67ebad23305dce5a213e692197bf3aa087efc3c6e902de

Observation f1a9ca4a-7e9f-4c49-ba71-431c98ef0eb9 · outbound

This paper cites Google meet.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Google meet

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.779273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T22:45:16.463575Z digest=sha256:8866fde339690ca54e330f76c2dbc281dfa374b4dafd67002678b761f3d8231f

Observation 67fb90a6-5a90-484b-ad86-b20cdede2b2f · outbound

This paper cites Zoom video communications.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Zoom video communications

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.762310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T22:45:16.468325Z digest=sha256:0803a54bc0b58807f0bc39f381aebef864ccb67e8d1beb9c4fbb00bc0fe80eca

Observation d32e55bc-8825-45ca-8c5b-bfabfd1b3b8e · outbound

This paper cites Meta smart glasses.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Meta smart glasses

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.743627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T22:45:16.473585Z digest=sha256:f73c288110f2d4f68745098185a931cf61e628052c7d67aa57173e876f201a00

Observation f98e3c26-e878-4c1b-950e-7a3e394f743d · outbound

This paper cites The ryerson audio-visual database of emotional speech and song (ravdess): A dynamic, multimodal set of facial and vocal expressions in north american english.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks The ryerson audio-visual database of emotional speech and song (ravdess): A dynamic, multimodal set of facial and vocal expressions in north american english

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-09T22:45:16.478647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:45:16.478647Z digest=sha256:c8f3ee0b8b773b6c0af8f5abe5b1cb2196894bd623acdb8d1f50ba6c90c3f62a

Observation 05cd989d-e6c9-441b-95cf-3dcf202e82a4 · outbound

This paper cites Cooper, Michael K.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Cooper, Michael K

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.714218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T22:45:16.483834Z digest=sha256:5a86b0f4027657815a103b28529648ccddd78278d79e7cd251fec6b5d66d8ca6

Observation bf4244d4-db19-4159-8213-f98f80577809 · outbound

This paper cites Kathleen Pichora-Fuller and Kate Dupuis.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks Kathleen Pichora-Fuller and Kate Dupuis

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.695417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T22:45:16.488724Z digest=sha256:ad626a62a3fb6f3096d1a59b573be841d22d17d7b30d4ccfdf185c7e822c5c89

Observation 28c6b65a-e6b5-4944-a566-1edebe75ab2c · outbound

This paper cites emotion2vec: Self-supervised pre-training for speech emotion representation, 2023.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks emotion2vec: Self-supervised pre-training for speech emotion representation, 2023

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.677641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T22:45:16.493637Z digest=sha256:b3efb2581c0e61fd90443a824edef9c66424ae3976b86daacc18555c71da29fa

Observation 892a1c56-0f8b-4fc2-9497-00c97865864f · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations, 2020.

Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks wav2vec 2.0: A framework for self-supervised learning of speech representations, 2020

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:45:16.658745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T22:45:16.498520Z digest=sha256:282816ac0bb13ef8f3f521707c87e48c7ed9ce900c1ca906402001785bad9a3e

Pith citing papers

No inbound Pith citation observations are available.