Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-23T00:16:28.841920Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 88 of 88 outbound references and 1 inbound Pith citation observation for arXiv:2503.08478.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-23T00:16:28.841920Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-27T22:03:49.204596Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-02T17:27:14.987591Z
88 of 88 outbound references displayed
External citation measurements
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Observation 0075ba4c-4eb4-43df-8917-453efb2fd205 · outbound
NullFace: Training-Free Localized Face Anonymization https://www.ppc.go.jp/files/pdf/ APPI_english.pdf
Reference 1
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NullFace: Training-Free Localized Face Anonymization https:// www.oag.ca.gov/privacy/ccpa/
Reference 2
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NullFace: Training-Free Localized Face Anonymization https://gdpr.eu/
Reference 3
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NullFace: Training-Free Localized Face Anonymization L2cs-net: Fine-grained gaze estimation in unconstrained environments
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Reference 5
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NullFace: Training-Free Localized Face Anonymization Attribute-preserving face dataset anonymization via latent code optimization
Reference 6
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Reference 7
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NullFace: Training-Free Localized Face Anonymization A morphable model for the synthesis of 3d faces
Reference 8
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NullFace: Training-Free Localized Face Anonymization Ledits++: Limitless image editing using text-to-image models
Reference 9
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NullFace: Training-Free Localized Face Anonymization Face De-identification: State-of-the-art Methods and Comparative Studies
Reference 10
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NullFace: Training-Free Localized Face Anonymization My face my choice: Privacy enhancing deepfakes for social me- dia anonymization
Reference 11
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Reference 12
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NullFace: Training-Free Localized Face Anonymization Graph-based generative face anonymisa- tion with pose preservation
Reference 13
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NullFace: Training-Free Localized Face Anonymization Understanding the nature of face processing impairment in autism: insights from behavioral and electrophysiological studies
Reference 14
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NullFace: Training-Free Localized Face Anonymization Arcface: Additive angular margin loss for deep face recognition
Reference 15
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NullFace: Training-Free Localized Face Anonymization TurboEdit: Text-Based Image Editing Using Few-Step Diffusion Models
Reference 16
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NullFace: Training-Free Localized Face Anonymization Privategaze: Preserving user privacy in black-box mobile gaze tracking services
Reference 17
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Reference 18
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NullFace: Training-Free Localized Face Anonymization An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
Reference 19
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Reference 20
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NullFace: Training-Free Localized Face Anonymization Password-conditioned anonymization and deanonymization with face identity transformers
Reference 21
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NullFace: Training-Free Localized Face Anonymization PuLID: Pure and Lightning ID Customization via Contrastive Alignment
Reference 22
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NullFace: Training-Free Localized Face Anonymization Viewer experience of obscuring scene elements in photos to enhance privacy
Reference 23
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NullFace: Training-Free Localized Face Anonymization Diff-privacy: Diffusion-based face privacy pro- tection
Reference 24
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NullFace: Training-Free Localized Face Anonymization VerA: Versatile Anonymization Applicable to Clinical Facial Photographs
Reference 25
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NullFace: Training-Free Localized Face Anonymization Prompt-to-Prompt Image Editing with Cross Attention Control
Reference 26
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NullFace: Training-Free Localized Face Anonymization Gans trained by a two time-scale update rule converge to a local nash equilib- rium
Reference 27
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NullFace: Training-Free Localized Face Anonymization Classifier-Free Diffusion Guidance
Reference 28
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Reference 29
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NullFace: Training-Free Localized Face Anonymization An edit friendly ddpm noise space: Inversion and manipulations
Reference 30
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Reference 31
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NullFace: Training-Free Localized Face Anonymization Deepprivacy: A generative adversarial network for face anonymization
Reference 32
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NullFace: Training-Free Localized Face Anonymization Biometrics: a tool for information security
Reference 33
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NullFace: Training-Free Localized Face Anonymization Progressive Growing of GANs for Improved Quality, Stability, and Variation
Reference 35
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Reference 36
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Reference 37
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Reference 38
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Reference 41
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Reference 42
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Reference 60
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Reference 67
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Reference 68
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Reference 69
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Reference 70
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Reference 71
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Reference 72
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Reference 73
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Observation 2a738e20-a242-43e1-b408-d7b4f7fd393b · outbound
NullFace: Training-Free Localized Face Anonymization InstantID: Zero-shot Identity-Preserving Generation in Seconds
Reference 74
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NullFace: Training-Free Localized Face Anonymization Divide and conquer: a two-step method for high quality face de-identification with model explainability
Reference 75
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NullFace: Training-Free Localized Face Anonymization G 2 face: High-fidelity reversible face anonymization via gen- erative and geometric priors.IEEE Transactions on Informa- tion Forensics and Security
Reference 76
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NullFace: Training-Free Localized Face Anonymization IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models
Reference 77
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NullFace: Training-Free Localized Face Anonymization Autologous tissue repair and total face restoration
Reference 78
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NullFace: Training-Free Localized Face Anonymization A3gan: Attribute-aware anonymiza- tion networks for face de-identification
Reference 79
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NullFace: Training-Free Localized Face Anonymization Facersa: Rsa-aware fa- cial identity cryptography framework
Reference 80
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NullFace: Training-Free Localized Face Anonymization As shown in Eq
Reference 81
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NullFace: Training-Free Localized Face Anonymization Fig- ure 11 shows a consistent decrease in re-identification rates as λcf g increases for both datasets
Reference 82
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Observation 5e5a0099-066e-4bf5-a65c-fd050afe2b84 · outbound
NullFace: Training-Free Localized Face Anonymization Using 1,000 subjects from CelebA-HQ [35] and FFHQ [36], we applied eye- or mouth-revealing masks at timesteps 70, 80, and 90
Reference 83
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NullFace: Training-Free Localized Face Anonymization This tradeoff il- lustrates how mask timing can balance attribute retention with anonymity
Reference 84
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Observation cff1a762-9e34-4171-b8f3-5b9c24a5d65a · outbound
NullFace: Training-Free Localized Face Anonymization We eval- uated 1,000 subjects from CelebA-HQ [35] and FFHQ [36] using λcf g = 7 .0 and measured re-identification rates with AdaFace [39] across different masks
Reference 85
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Observation 11154d34-1e11-481e-a763-a7d0bc0b0780 · outbound
NullFace: Training-Free Localized Face Anonymization Unresolved cited work
Reference 86
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Observation a59d111e-9996-447f-b3bd-7ed2fc7fb468 · outbound
NullFace: Training-Free Localized Face Anonymization 17 to 22
Reference 87
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Observation 89bbbdbd-8d4f-4e11-bf55-6dbc8fb35029 · outbound
NullFace: Training-Free Localized Face Anonymization On one hand, technologies like facial anonymization offer privacy protections in an increasingly surveillance-driven world
Reference 88
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Observation ba68598b-7091-4e60-840f-0907f53aace6 · inbound
Seeing Without Exposing: Adaptive Privacy Control for Open-World, Context-Hungry MLLMs NullFace: Training-Free Localized Face Anonymization
Reference 21
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