Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T19:43:59.961007Z
Paper Citation Record · LEDGER
As of 22 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2509.09742.
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 2026-08-04T19:43:59.961007Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
46 of 46 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 21e41083-91be-4f41-8c4e-1b9544da9248 · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning Deep learning with differential privacy
Reference 1
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Observation 0f812787-4497-4a94-97cb-7d71284fe795 · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning Collaborative learning of anomalies with privacy (clap) for unsupervised video anomaly detection: A new baseline
Reference 2
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Observation f32f4ca2-d8d4-440c-b995-fa9c8112b6d4 · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning Bayesian Framework for Gradient Leakage
Reference 3
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Observation 7e9e9dfb-a7ef-49cb-848a-b88d14b1ce5f · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning Practical Secure Aggregation for Federated Learning on User-Held Data
Reference 4
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Observation 13c1c3b0-a486-4bf0-b76e-4e1cb10ae888 · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning Understanding Training-Data Leakage from Gradients in Neural Networks for Image Classification
Reference 5
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Observation 4a9fe317-3837-4e10-b88e-4389b0d6412a · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning Improved gradient leakage attack against compressed gradi- ents in federated learning.Neurocomputing, 608:128349, 2024
Reference 6
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Observation b381e7a4-907d-4bd5-85d8-a1aa5540d05d · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning SoK: On Gradient Leakage in Federated Learning
Reference 7
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Observation b71818c6-26bd-4ec5-8525-0301293a367c · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning What is a good psnr value for image? https: //poletoparis.com/what-is-a-good-psnr-value-for-image/, 2022
Reference 8
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Observation e1f3da12-4be8-4f96-87e8-1ea07a5c3087 · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning Inverting gradients-how easy is it to break privacy in fed- erated learning?Advances in Neural Information Processing Systems, 33:16937–16947, 2020
Reference 9
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Observation 1992d6e4-0ec0-4d60-a00c-26d05ce22643 · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning A new federated learning framework against gradient inversion attacks
Reference 10
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Observation ab72ed89-eb2b-42fb-ab54-638d575e1466 · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning Deep residual learning for image recognition
Reference 11
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Observation 82442579-1812-4708-ba95-9de4574434c0 · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning Evaluating gradient inversion attacks and defenses in federated learning
Reference 12
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Observation fc0c733d-07e8-47fd-9b0a-749d7991ffa1 · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning Instahide: Instance-hiding schemes for private distributed learning
Reference 13
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Observation 1cd0e73f-d1f5-4c3c-ba65-aecf13fa23a4 · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning Plotneuralnet
Reference 14
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Observation ea484f66-3faa-4294-8599-2e85a6a5a422 · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning Gradient inversion with generative image prior
Reference 15
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Observation c3e9705e-b81f-466e-a01a-c3727efeec95 · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning Cafe: Catastrophic data leakage in vertical federated learning.Advances in Neural Information Processing Systems, 34:994–1006, 2021
Reference 16
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Observation 59faa6d0-4028-4248-9e88-3754e084ac0c · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning
Reference 17
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Observation dd7d05cc-84c3-4eed-bb5f-24fa7ce6c288 · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning Adam: A Method for Stochastic Optimization
Reference 18
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Observation d2e610ae-54fc-4e7e-910b-a923710d2493 · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning Learning multiple layers of features from tiny images
Reference 19
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Unavailable: canonical work link unavailable.
Observation 8e1e7bb8-3ad5-49db-8ad9-3be53e9c6a0d · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning Unresolved cited work
Reference 20
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Observation 0c823262-3a2d-4047-b1f1-a1ab58d49551 · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning Gradient disaggregation: Breaking privacy in federated learning by reconstructing the user participant matrix
Reference 21
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Observation 6eead534-abda-4678-8b53-071e0815eea2 · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning Gradient-based learning applied to document recognition
Reference 22
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Observation 41515737-fdab-4dc5-9b77-63b209ab5850 · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning Deep leakage from gradients in multiple-label medical image classification
Reference 23
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Observation fd074321-a778-4a82-ab25-96f9d8861c70 · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning Pytorch: An imperative style, high-performance deep learning library
Reference 24
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Observation b9c67d57-c6d6-4a31-8260-79be1b2fdf85 · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning Privacy-preserving deep learning via additively homo- morphic encryption.IEEE Transactions on Information Forensics and Security, 13(5):1333–1345, 2018
Reference 25
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Observation ffcf379f-0193-4a23-88ea-b3c459920a25 · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning On the Convergence of Adam and Beyond
Reference 26
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Observation 545dec65-2fb0-4663-b7ad-1762e6eb143f · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning Dropout is not all you need to prevent gradient leakage
Reference 27
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Observation a9c20c28-371b-4421-b679-f78e716e4bac · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning Real-world anomaly detection in surveillance videos
Reference 28
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Unavailable: canonical work link unavailable.
Observation 4bb1f400-244d-4172-ab5e-e45544367e5e · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning On the convergence proof of amsgrad and a new version.IEEE Access, 7:61706–61716, 2019
Reference 29
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Observation ebe3671a-b32e-4305-879e-b8edf786f9b3 · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning TabLeak: Tabular Data Leakage in Federated Learning
Reference 30
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Observation 23cc0bc8-b105-491e-8761-5e589404d8b0 · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Reference 31
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Observation 1d5c9f01-0484-4d9f-b3f9-2056d5c6b2bd · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning Real-esrgan: Training real-world blind super-resolution with pure synthetic data
Reference 32
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Observation e2da10a3-25cc-4ad7-a24b-1c009faec132 · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning SAPAG: A Self-Adaptive Privacy Attack From Gradients
Reference 33
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Observation de46572c-0fbf-4fb3-bbd1-b4c218caf5f0 · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning Image quality assessment: from error visibility to structural similarity
Reference 34
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Observation cd7ae4d8-7a5c-4ec1-aab3-6604de4bca2e · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning A framework for evaluating client privacy leakages in federated learning
Reference 35
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Observation 986fc633-b198-4d96-a364-fadbb82d6f8b · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning Deep learning for video classification and captioning
Reference 36
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Observation 034e62fb-ff67-4676-a158-e27ec1a5bc66 · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning Revisiting gradient pruning: A dual realization for defending against gradient attacks
Reference 37
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Observation 7ea02892-40ab-4e8d-a78f-ea6ee8774068 · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning
Reference 38
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Observation 74b9d875-2816-45d4-b3b6-27a188656d47 · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning Learning texture transformer network for image super-resolution
Reference 39
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Observation af6759a1-c7fd-42ae-a1c4-045b187a2772 · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning See through gradients: Image batch recovery via gradinversion
Reference 40
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Observation 865bef7c-e5af-4143-8994-6164b7e9eb84 · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning mixup: Beyond Empirical Risk Minimization
Reference 41
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Observation 2fa7eeb0-be68-4cf3-a34c-b83b51439ae8 · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling
Reference 42
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Observation d6caf467-984a-4021-8203-b373ac4aa307 · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning A Survey on Gradient Inversion: Attacks, Defenses and Future Directions
Reference 43
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Observation e4cd18d0-5e29-4f00-80fc-fe3627baa527 · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning iDLG: Improved Deep Leakage from Gradients
Reference 44
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Observation e9652ce0-db62-48f0-8105-a53bd3ca5d4c · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning R-GAP: Recursive Gradient Attack on Privacy
Reference 45
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Observation 86714b26-16b5-4d25-bd8d-01c7befb6e09 · outbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning Deep leakage from gradients
Reference 46
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No inbound Pith citation observations are available.