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Paper Citation Record · LEDGER

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset

As of 9 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2507.13981.

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

pith.paper-citation-record.v1
2507.13981 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:16:42.110105Z

measured 48 of 48 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.

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

48 of 48 outbound references displayed

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  • verified fuzzy45
  • unresolved2
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation efc74f99-d254-44dd-bb9f-a2ff93b5bc68 · outbound

This paper cites Overview of the mediaeval 2014 visual privacy task.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Overview of the mediaeval 2014 visual privacy task

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 4611120c-7ab9-4efc-ab65-a99523dae786 · outbound

This paper cites Face-off: Adver- sarial face obfuscation, 2020.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Face-off: Adver- sarial face obfuscation, 2020

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 487dd828-39e6-417e-ab62-649986b7e9f3 · outbound

This paper cites Privattnet: predicting privacy risks in images us- ing visual attention.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Privattnet: predicting privacy risks in images us- ing visual attention

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 4a09044f-bef8-4427-8681-7f049053764a · outbound

This paper cites Protec- tion of visual privacy in videos acquired with rgb cameras for active and assisted living applications.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Protec- tion of visual privacy in videos acquired with rgb cameras for active and assisted living applications

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e5a0a563-7846-42d7-b783-2190499f9c93 · outbound

This paper cites Obfusca- tion of images via differential privacy: From facial images to general images.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Obfusca- tion of images via differential privacy: From facial images to general images

Reference 5

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raw_fallback, observed 2026-08-06T16:16:42.997063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8f2e76a8-5477-4777-9c27-65feaa0075c2 · outbound

This paper cites Video surveillance and privacy: A solvable paradox? Computer, 57(3):91–100, 2024.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Video surveillance and privacy: A solvable paradox? Computer, 57(3):91–100, 2024

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 275872d9-d598-4d86-b1dc-bc3eef59bf37 · outbound

This paper cites Spact: Self-supervised privacy preservation for action recog- nition.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Spact: Self-supervised privacy preservation for action recog- nition

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b426fff3-66be-4736-ab52-75d3937e1570 · outbound

This paper cites A framework for the validation of privacy protection solutions in video surveil- lance.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset A framework for the validation of privacy protection solutions in video surveil- lance

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation cf47a2a2-3d6e-4075-ac1f-243b2a7d1ea8 · outbound

This paper cites Pri- vacy protection vs.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Pri- vacy protection vs

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 87d7b555-e89e-42d7-8830-032c9971a600 · outbound

This paper cites Ted-spad: Temporal distinctiveness for self- supervised privacy-preservation for video anomaly detec- tion.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Ted-spad: Temporal distinctiveness for self- supervised privacy-preservation for video anomaly detec- tion

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 98c9b4ae-a449-4e7c-a63c-f0b93785068b · outbound

This paper cites Live face de- identification in video.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Live face de- identification in video

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 052d18cf-ae1a-4ce3-a332-4312ffbc4b1d · outbound

This paper cites Privacy-preserving face recognition with multi-edge as- sistance for intelligent security systems.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Privacy-preserving face recognition with multi-edge as- sistance for intelligent security systems

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c07f26cd-7627-454c-8027-3955abd1fffd · outbound

This paper cites Vizwiz-priv: A dataset for recognizing the presence and purpose of private visual information in images taken by blind people.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Vizwiz-priv: A dataset for recognizing the presence and purpose of private visual information in images taken by blind people

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 23569ce7-ba65-4bc9-99f3-9a6531b2d2b6 · outbound

This paper cites Learning privacy-preserving optics for human pose estima- tion.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Learning privacy-preserving optics for human pose estima- tion

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-06T16:16:42.847410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:16:41.917819Z digest=sha256:5370133e46692fc9a09c4e1b1360aa5a07a1e2cf3b82c394b082c1bec6c32fef

Observation b8678a26-150c-4fb9-ae05-416b7d514a89 · outbound

This paper cites Deepprivacy: A generative adversarial network for face anonymization.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Deepprivacy: A generative adversarial network for face anonymization

Reference 15

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raw_fallback, observed 2026-08-06T16:16:42.829931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:16:41.922147Z digest=sha256:797540376dd5f0ecc0eb0dcebf81a89db10f4a258905d7278623e438159dfed5

Observation 1d124389-5cd2-4fb1-82f9-5e1521e0a900 · outbound

This paper cites Realistic full-body anonymization with surface- guided gans.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Realistic full-body anonymization with surface- guided gans

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 6607d453-5e7a-4f34-a3a3-550292dbf675 · outbound

This paper cites Eu data protection law: The review of direc- tive 95/46/ec and the proposed general data protection reg- ulation.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Eu data protection law: The review of direc- tive 95/46/ec and the proposed general data protection reg- ulation

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation eb880f7d-cb9d-47ef-a6b9-527f853f174f · outbound

This paper cites Rethinking FID: Towards a Better Evaluation Metric for Image Generation.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Rethinking FID: Towards a Better Evaluation Metric for Image Generation

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:16:41.936258Z digest=sha256:90f4217e4cc89920ecdc2bfeebcd9218b52ad60fcc2c8f6b7a3f4081958f1a7c

Observation b821f7e3-1728-4830-99ba-ae4ddb00f458 · outbound

This paper cites Ultralytics YOLO, 2023.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Ultralytics YOLO, 2023

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 4224f23b-4a43-4f65-a39b-307dc6c7a366 · outbound

This paper cites Framework for objective evaluation of privacy filters.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Framework for objective evaluation of privacy filters

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 1ebace32-f898-47d7-80c3-af3c73994f59 · outbound

This paper cites Development of a privacy-preserving uav system with deep learning-based face anonymization.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Development of a privacy-preserving uav system with deep learning-based face anonymization

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c24c3b3b-ae96-43d8-b10d-d94a7a7bd950 · outbound

This paper cites Microsoft coco: Common objects in context.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Microsoft coco: Common objects in context

Reference 22

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no resolver link, observed 2026-08-06T16:16:41.955997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:16:41.955997Z digest=sha256:24d053fbf50e5dd11ab4bcd9e9e98403e31aa856253c2520764a580b215c7b18

Observation af9b4cdc-8820-4057-9a73-a0785a945d0c · outbound

This paper cites Adverfacial: Privacy-preserving universal ad- versarial perturbation against facial micro-expression leak- ages.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Adverfacial: Privacy-preserving universal ad- versarial perturbation against facial micro-expression leak- ages

Reference 23

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raw_fallback, observed 2026-08-06T16:16:42.703949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:16:41.960861Z digest=sha256:8e1634c65da81b8a9af97ecda7e19c2264a3a89ceca43fa0a3c5ffb1bf1e5c7f

Observation 4f3473f3-90b9-4903-935e-77f34bb45582 · outbound

This paper cites De- coupling identity and visual quality for image and video anonymization.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset De- coupling identity and visual quality for image and video anonymization

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-06T16:16:42.685604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:16:41.966303Z digest=sha256:cd768fc029875ffcc09c54bbb6982c1cf35093f49b6e4901ad28021796c790f1

Observation 6f849b66-5fdc-42d0-ab90-a1dfcc694bf8 · outbound

This paper cites Privacy-protecting behaviours of risk detection in people with dementia using videos.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Privacy-protecting behaviours of risk detection in people with dementia using videos

Reference 25

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raw_fallback, observed 2026-08-06T16:16:42.660857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 4e7bdcf4-4fe8-4a73-80a6-2bd14e17aa5a · outbound

This paper cites Deep autoencoders for attribute preserv- ing face de-identification.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Deep autoencoders for attribute preserv- ing face de-identification

Reference 26

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raw_fallback, observed 2026-08-06T16:16:42.639064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 4fb2e773-b304-498e-80ce-2bce224c954a · outbound

This paper cites To- wards a visual privacy advisor: Understanding and predict- ing privacy risks in images.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset To- wards a visual privacy advisor: Understanding and predict- ing privacy risks in images

Reference 27

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raw_fallback, observed 2026-08-06T16:16:42.612974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ce5ea2c6-cf2e-4f37-aee0-d59a7c0dc0cf · outbound

This paper cites A survey on deep learning-based real-time crowd anomaly detection for 9 secure distributed video surveillance.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset A survey on deep learning-based real-time crowd anomaly detection for 9 secure distributed video surveillance

Reference 28

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raw_fallback, observed 2026-08-06T16:16:42.589105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:16:41.987424Z digest=sha256:2d0bcba507273b2878115188debe78331714affa4c3afaa61e9ff4c47a500048

Observation c3dce699-0935-4e73-be58-6a63a4e2744f · outbound

This paper cites Body shape privacy in images: under- standing privacy and preventing automatic shape extraction.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Body shape privacy in images: under- standing privacy and preventing automatic shape extraction

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-06T16:16:42.569859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:16:41.992285Z digest=sha256:14360509abd91c68596c59ab3634d6ed1e978cb4b9577b7ff2259bdfd368e36d

Observation 3981c987-dd95-4c52-8015-2ec086f35efb · outbound

This paper cites Privacy-Preserving Image Acquisition Using Trainable Optical Kernel.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Privacy-Preserving Image Acquisition Using Trainable Optical Kernel

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:16:42.166992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:16:41.997270Z digest=sha256:2e473e844cd1973bd5a06baa23206757d13f22b29c34780fbdfcaee45436a13e

Observation 58613ed7-9c01-427b-b036-7640f391a635 · outbound

This paper cites Disability-first design and creation of a dataset show- ing private visual information collected with people who are blind.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Disability-first design and creation of a dataset show- ing private visual information collected with people who are blind

Reference 31

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raw_fallback, observed 2026-08-06T16:16:42.551677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:16:42.002072Z digest=sha256:889b13933f58e1031493c84143ae0ed626cf35b33b6fffd483a8a65a07a3ebea

Observation 0b137cc0-861b-464a-a250-4fe496f5474c · outbound

This paper cites Privacy-preserved video moni- toring method with 3d human pose estimation.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Privacy-preserved video moni- toring method with 3d human pose estimation

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:16:42.529900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:16:42.007205Z digest=sha256:4944c36df77624f14098642564984b9695ee839401a167d02daabf843f4d9330

Observation 32f77a9d-aba2-4ba4-b980-4d9ea4b2b857 · outbound

This paper cites Skin detection and lightweight encryption for privacy protection in real-time surveillance applications.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Skin detection and lightweight encryption for privacy protection in real-time surveillance applications

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:16:42.507373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:16:42.013307Z digest=sha256:55052a1006062153f95b550d17c1c86b1598683c8103ee19d75ba947ad3f8aae

Observation ce642873-85a4-4284-86e4-83f26b29e5f4 · outbound

This paper cites An objective and subjective eval- uation of content-based privacy protection of face images in video surveillance systems using jpeg xr.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset An objective and subjective eval- uation of content-based privacy protection of face images in video surveillance systems using jpeg xr

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:16:42.481477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:16:42.025516Z digest=sha256:df7e616f5ce93b9c5ff571a1bb1a409388f5343cf674b14fc56634113491cb9e

Observation 463df163-f636-45f6-abdf-69c7b8a733df · outbound

This paper cites Personalized privacy-aware image classification.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Personalized privacy-aware image classification

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:16:42.462475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:16:42.030742Z digest=sha256:17cf2520798f7767584676b7024bb53637c48dc6de62d5614b09f4b41dc94f2d

Observation 17cdb459-0926-472d-b774-3f7a882c0290 · outbound

This paper cites Privobfnet: A weakly supervised semantic segmen- tation model for data protection.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Privobfnet: A weakly supervised semantic segmen- tation model for data protection

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:16:42.443525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:16:42.039400Z digest=sha256:a86e10d7297cc8d8a8bcaf418cbd676514cd877e640f7a70664332313d488d4a

Observation 1c45ecb9-fd16-4cbf-98d1-d5fb22bbd852 · outbound

This paper cites Dynamic deep multi- modal fusion for image privacy prediction.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Dynamic deep multi- modal fusion for image privacy prediction

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:16:42.414533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:16:42.044915Z digest=sha256:cebf03f10bdf20f7e2e3007cf980c9f5fb88150837d2ea7e2f6b2353fd431270

Observation ecd7995b-252f-486c-8a9d-deade9e56c38 · outbound

This paper cites Image privacy predic- tion using deep neural networks.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Image privacy predic- tion using deep neural networks

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:16:42.396598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:16:42.050398Z digest=sha256:93aecdcff0a52f0b03b71fd72e01b3649937b1695ebe2f5aaf0cd44e72a9567a

Observation db8d39da-0cb3-4a94-a8c3-85c71eae8fd1 · outbound

This paper cites Modeling the trade-off of privacy preserva- tion and activity recognition on low-resolution images.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Modeling the trade-off of privacy preserva- tion and activity recognition on low-resolution images

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:16:42.373276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:16:42.055967Z digest=sha256:527ee8ee58cdb03629fc8800c953d25c0f4b6b5205f8263ac2bede931a55c820

Observation c20be9ba-e381-436f-a5d1-7e0f1951c1b2 · outbound

This paper cites Privacy- protective-gan for privacy preserving face de-identification.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Privacy- protective-gan for privacy preserving face de-identification

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:16:42.356678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:16:42.061188Z digest=sha256:ad9f5c9382acd0f023e0f32259c887a77d0de033b3f0c2baad1df94ba551b6a4

Observation a8a2c6c2-69ff-4b80-b936-467ee8722477 · outbound

This paper cites Privacy-preserving deep action recogni- tion: An adversarial learning framework and a new dataset.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Privacy-preserving deep action recogni- tion: An adversarial learning framework and a new dataset

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:16:42.338104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:16:42.066327Z digest=sha256:1c60f7661265b0fcf5b23bd03a5ec10966f4b5eef986c6be2ce46261524fd592

Observation 53309e64-73a8-467b-99bb-e4ceee87f17e · outbound

This paper cites Privacy-preserving deep action recogni- tion: An adversarial learning framework and a new dataset.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Privacy-preserving deep action recogni- tion: An adversarial learning framework and a new dataset

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:16:42.320150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:16:42.071390Z digest=sha256:e2a82ed343fd24906e64fcdf462dfb4d6349b19ec0a71b8086edb4a86088b374

Observation b5c6aa9c-23eb-4e00-bc0d-d35594e2c9ae · outbound

This paper cites Dipa: An image dataset with cross-cultural privacy concern annotations.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Dipa: An image dataset with cross-cultural privacy concern annotations

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:16:42.302626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:16:42.077378Z digest=sha256:f7ef52f478327a92e3dc0d013b9938145471a093e3cf0a377d4b79fde8973f39

Observation 63ecf77f-3552-49ce-9a2f-346100978209 · outbound

This paper cites Dipa2: An image dataset with cross-cultural privacy perception annotations.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Dipa2: An image dataset with cross-cultural privacy perception annotations

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:16:42.284527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:16:42.084421Z digest=sha256:a9c4ce2353a3dca3b0f0130935faef4b46aba5b2ce5f57f6efa2131181f3afd3

Observation 796323a3-6942-4dc0-a95d-866146fc15d6 · outbound

This paper cites Image segmentation based privacy-preserving human action recognition for anomaly detection.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Image segmentation based privacy-preserving human action recognition for anomaly detection

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:16:42.266145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:16:42.093771Z digest=sha256:372525c38d2605e64b4107e1a5aab0ce64f78cf33049eaba6b547c68f4326aec

Observation 618c9c32-b70e-4958-9adc-1b8ad605f606 · outbound

This paper cites Picalert! a system for privacy-aware image classification and retrieval.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Picalert! a system for privacy-aware image classification and retrieval

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:16:42.247556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:16:42.098311Z digest=sha256:fa336e964159a6e812d47cbfff6337b943c50cb2bf08f1b77d4021e2f520b2fe

Observation 3df0a77f-99ba-4087-bca9-134ae9b2cd74 · outbound

This paper cites Multi-scale, class-generic, privacy- preserving video.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Multi-scale, class-generic, privacy- preserving video

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:16:42.225426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:16:42.103988Z digest=sha256:6524b4451ce2d887ed961092d41b8660e56bb1ab60297eeab76be2e98937bf1d

Observation 60845ef1-da37-4c87-862d-95172ca68801 · outbound

This paper cites Privacyalert: A dataset for im- age privacy prediction.

Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset Privacyalert: A dataset for im- age privacy prediction

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:16:42.208104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:16:42.110105Z digest=sha256:02b9e6b776f6050c5a9aa9f24bf9f7514c676b0c94dfaa48c4af6f46df1259ad

Pith citing papers

No inbound Pith citation observations are available.