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Paper Citation Record · LEDGER

Privacy Preserving Properties of Vision Classifiers

As of 10 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2502.00760.

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

pith.paper-citation-record.v1
2502.00760 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:52:54.005091Z

measured 29 of 29 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

29 of 29 outbound references displayed

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  • verified fuzzy16
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 14bc3544-175c-4f3b-95d3-82eaf2e13ea8 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Privacy Preserving Properties of Vision Classifiers An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 1

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Observation 26fc833f-9807-4403-a981-dda175126fb3 · outbound

This paper cites An Introduction to Convolutional Neural Networks.

Privacy Preserving Properties of Vision Classifiers An Introduction to Convolutional Neural Networks

Reference 2

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Observation 8ea7333d-0c9b-4472-ad48-a149971000b3 · outbound

This paper cites Network inversion for training-like data reconstruction,.

Privacy Preserving Properties of Vision Classifiers Network inversion for training-like data reconstruction,

Reference 3

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Observation d9745209-310a-4cd4-ac50-c74bd8fc89c3 · outbound

This paper cites Privacy-preserving machine learning: Threats and solutions,.

Privacy Preserving Properties of Vision Classifiers Privacy-preserving machine learning: Threats and solutions,

Reference 4

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Observation b9dffebe-583d-454f-b775-aa5d642a5268 · outbound

This paper cites Privacy-Preserving Machine Learning: Methods, Challenges and Directions.

Privacy Preserving Properties of Vision Classifiers Privacy-Preserving Machine Learning: Methods, Challenges and Directions

Reference 5

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Observation 946e0866-cca6-45d7-9a0c-b3b0f7986e37 · outbound

This paper cites Inversion of neural networks by gradient descent,.

Privacy Preserving Properties of Vision Classifiers Inversion of neural networks by gradient descent,

Reference 6

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Observation 2f9004bf-a8fa-4294-aeed-4873a539d918 · outbound

This paper cites Inversion of feedforward neural networks: algorithms and applications,.

Privacy Preserving Properties of Vision Classifiers Inversion of feedforward neural networks: algorithms and applications,

Reference 7

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

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Observation efd341b7-cef8-4392-bda6-a0749e77c334 · outbound

This paper cites Neural network inversion beyond gradient descent,.

Privacy Preserving Properties of Vision Classifiers Neural network inversion beyond gradient descent,

Reference 8

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

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Observation e77cb6f5-ef84-46e2-befb-3d4a7cf85313 · outbound

This paper cites Neural network inversion in adversarial setting via background knowledge alignment,.

Privacy Preserving Properties of Vision Classifiers Neural network inversion in adversarial setting via background knowledge alignment,

Reference 9

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Observation b0413546-0a69-4714-b2e3-267096fcf649 · outbound

This paper cites Neural network explanation using inversion,.

Privacy Preserving Properties of Vision Classifiers Neural network explanation using inversion,

Reference 10

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Observation 13becc89-df8a-4a73-a38f-430d55d2ea94 · outbound

This paper cites Model inversion networks for model-based optimization,.

Privacy Preserving Properties of Vision Classifiers Model inversion networks for model-based optimization,

Reference 11

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Observation 418e6806-76b5-406a-bed7-49ea6bac91ca · outbound

This paper cites Reconstructing training data with informed adversaries,.

Privacy Preserving Properties of Vision Classifiers Reconstructing training data with informed adversaries,

Reference 12

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Observation 31d76ae5-9bd6-49db-af79-0a554c8ff02d · outbound

This paper cites Reconstructing training data from model gradient, provably,.

Privacy Preserving Properties of Vision Classifiers Reconstructing training data from model gradient, provably,

Reference 13

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Observation 622d5ecb-f5b7-4c4f-893a-662a1a4b0750 · outbound

This paper cites Landscape Learning for Neural Network Inversion.

Privacy Preserving Properties of Vision Classifiers Landscape Learning for Neural Network Inversion

Reference 14

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Observation 5b99eab8-bf06-408e-94fc-16a130daefa0 · outbound

This paper cites Network inversion of binarised neural nets,.

Privacy Preserving Properties of Vision Classifiers Network inversion of binarised neural nets,

Reference 15

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Observation 88711419-c2f9-48b7-9e21-a5352323416b · outbound

This paper cites Reconstructing Training Data from Diverse ML Models by Ensemble Inversion.

Privacy Preserving Properties of Vision Classifiers Reconstructing Training Data from Diverse ML Models by Ensemble Inversion

Reference 16

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Observation 786db1a0-00f4-41a1-ab85-cb2cc4b72f8d · outbound

This paper cites Reconstructing Training Data from Trained Neural Networks.

Privacy Preserving Properties of Vision Classifiers Reconstructing Training Data from Trained Neural Networks

Reference 17

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Observation 97b822f6-1a0e-45d4-b7c0-4fd6697926bc · outbound

This paper cites Reconstructing Training Data from Multiclass Neural Networks.

Privacy Preserving Properties of Vision Classifiers Reconstructing Training Data from Multiclass Neural Networks

Reference 18

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Observation 351adacd-cb91-4a8e-906f-7170a89db970 · outbound

This paper cites Reconstructing Training Data from Model Gradient, Provably.

Privacy Preserving Properties of Vision Classifiers Reconstructing Training Data from Model Gradient, Provably

Reference 19

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Observation 7f52870d-ab52-4891-8c61-e0ca8837300f · outbound

This paper cites Reconstructing training data from real world models trained with transfer learning,.

Privacy Preserving Properties of Vision Classifiers Reconstructing training data from real world models trained with transfer learning,

Reference 20

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Observation 6e2a0469-5f79-4813-bd68-06fc447131f1 · outbound

This paper cites Bounding training data reconstruction in private (deep) learning,.

Privacy Preserving Properties of Vision Classifiers Bounding training data reconstruction in private (deep) learning,

Reference 21

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This paper cites Network inversion of convolutional neural nets,.

Privacy Preserving Properties of Vision Classifiers Network inversion of convolutional neural nets,

Reference 22

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Privacy Preserving Properties of Vision Classifiers Network inversion and its applications,

Reference 23

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Observation 0e03b73c-dc5b-4c7d-88c9-458e87fdd4f8 · outbound

This paper cites The mnist database of handwritten digit images for machine learning research,.

Privacy Preserving Properties of Vision Classifiers The mnist database of handwritten digit images for machine learning research,

Reference 24

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Observation 4f8588de-23b3-4758-b641-c16dc7434070 · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Privacy Preserving Properties of Vision Classifiers Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 25

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Observation 368b3323-02bf-4de0-8128-754eadc328f2 · outbound

This paper cites Cifar-10 (canadian institute for advanced research).

Privacy Preserving Properties of Vision Classifiers Cifar-10 (canadian institute for advanced research)

Reference 26

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Observation 4c762b59-dfbc-4037-a856-bf4dcd3a9361 · outbound

This paper cites Dropout: A simple way to prevent neural networks from overfitting,.

Privacy Preserving Properties of Vision Classifiers Dropout: A simple way to prevent neural networks from overfitting,

Reference 27

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This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift,.

Privacy Preserving Properties of Vision Classifiers Batch normalization: Accelerating deep network training by reducing internal covariate shift,

Reference 28

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This paper cites 8056–8071.

Privacy Preserving Properties of Vision Classifiers 8056–8071

Reference 162

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Pith citing papers

No inbound Pith citation observations are available.