Paper Citation Record · LEDGER

Hidden Data Privacy Breaches in Federated Learning

As of 14 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 1 inbound Pith citation observation for arXiv:2411.18269.

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

pith.paper-citation-record.v1
2411.18269 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:26:17.162496Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:32:27.661619Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T18:32:30.798732Z

Reference resolution

60 of 60 outbound references displayed

verified exact2
verified fuzzy35
unresolved22
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d83f9319-48c5-4d85-abc8-5af86612afee · outbound

This paper cites Deep learning with differential privacy.

Hidden Data Privacy Breaches in Federated Learning Deep learning with differential privacy

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:26:18.150092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7c5f65cb-da0a-44c9-9a5e-9a101777a98b · outbound

This paper cites Transpose Attack: Stealing Datasets with Bidirectional Training.

Hidden Data Privacy Breaches in Federated Learning Transpose Attack: Stealing Datasets with Bidirectional Training

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T11:26:16.873125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abb60567-7508-43d0-9365-ed9b758f5844 · outbound

This paper cites Privacy-preserving deep learning via additively homomorphic en- cryption.

Hidden Data Privacy Breaches in Federated Learning Privacy-preserving deep learning via additively homomorphic en- cryption

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:26:18.133455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7b6bd2d8-ea77-47a7-aa24-79fc21a6506f · outbound

This paper cites Robust transmission of un- bounded strings using fibonacci representations.

Hidden Data Privacy Breaches in Federated Learning Robust transmission of un- bounded strings using fibonacci representations

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:26:18.115598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1d19bb2d-939d-4625-bf2f-29a1cbc02892 · outbound

This paper cites Blind backdoors in deep learning models.

Hidden Data Privacy Breaches in Federated Learning Blind backdoors in deep learning models

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:26:18.096497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation afa7cf12-5d40-473d-979f-d66a26d873a7 · outbound

This paper cites Reconstructing individual data points in federated learning hardened with differential privacy and secure aggregation.

Hidden Data Privacy Breaches in Federated Learning Reconstructing individual data points in federated learning hardened with differential privacy and secure aggregation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:26:18.078378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f294ed32-c1ef-4d02-bfe1-23fb134408a1 · outbound

This paper cites When the curious abandon honesty: Federated learning is not private.

Hidden Data Privacy Breaches in Federated Learning When the curious abandon honesty: Federated learning is not private

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:26:18.060591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation acdb01e2-0f55-4b76-836d-53bae8b723e4 · outbound

This paper cites Practical secure aggregation for privacy-preserving machine learning.

Hidden Data Privacy Breaches in Federated Learning Practical secure aggregation for privacy-preserving machine learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:26:18.042876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ef123ac2-995c-47b2-b84a-dc3c1871d23a · outbound

This paper cites Understanding Training-Data Leakage from Gradients in Neural Networks for Image Classification.

Hidden Data Privacy Breaches in Federated Learning Understanding Training-Data Leakage from Gradients in Neural Networks for Image Classification

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-12T11:26:17.455831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f212dc60-e4e3-43f2-8bf0-c2d60187cc73 · outbound

This paper cites Communication-efficient federated learning with adaptive parameter freezing.

Hidden Data Privacy Breaches in Federated Learning Communication-efficient federated learning with adaptive parameter freezing

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:26:18.026332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 523710b6-0278-4e86-accd-a794f0162117 · outbound

This paper cites From QoS to QoE: A tutorial on video quality assessment.

Hidden Data Privacy Breaches in Federated Learning From QoS to QoE: A tutorial on video quality assessment

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T11:26:16.918846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0030a216-5ef9-4b35-99c6-e6e2120e5546 · outbound

This paper cites FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning.

Hidden Data Privacy Breaches in Federated Learning FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-12T11:26:17.432172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cf1294ad-a3bc-4314-b819-d1e829d302e4 · outbound

This paper cites Towards Measuring Supply Chain Attacks on Package Managers for Interpreted Languages.

Hidden Data Privacy Breaches in Federated Learning Towards Measuring Supply Chain Attacks on Package Managers for Interpreted Languages

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T11:26:16.929297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48bc2c33-705f-4b18-88a2-20a2b28f2d2d · outbound

This paper cites Imagenette: A smaller subset of 10 easily classified classes from imagenet.

Hidden Data Privacy Breaches in Federated Learning Imagenette: A smaller subset of 10 easily classified classes from imagenet

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T11:26:16.934268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8116c95-82d9-4f84-80ae-c3a044e26366 · outbound

This paper cites Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models.

Hidden Data Privacy Breaches in Federated Learning Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T11:26:16.939288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30a01f22-48cb-4220-990d-0a0abce1721a · outbound

This paper cites Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models.

Hidden Data Privacy Breaches in Federated Learning Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T11:26:16.944574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 939a628c-3a5c-4ddd-82a9-4032139f053a · outbound

This paper cites Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning.

Hidden Data Privacy Breaches in Federated Learning Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T11:26:16.949504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4f42307-026b-42a5-92e8-25a0ae7298cc · outbound

This paper cites Inverting gradients-how easy is it to break privacy in feder- ated learning? Advances in Neural Information Processing Systems , 33:16937–16947, 2020.

Hidden Data Privacy Breaches in Federated Learning Inverting gradients-how easy is it to break privacy in feder- ated learning? Advances in Neural Information Processing Systems , 33:16937–16947, 2020

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:26:17.989289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 70d7e1b6-fca0-4b41-b14b-489b6937193c · outbound

This paper cites Differentially Private Federated Learning: A Client Level Perspective.

Hidden Data Privacy Breaches in Federated Learning Differentially Private Federated Learning: A Client Level Perspective

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T11:26:16.959012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7926d2e4-0e8f-47f3-a0f2-dd15d9222e84 · outbound

This paper cites Recovering private text in federated learning of language models.

Hidden Data Privacy Breaches in Federated Learning Recovering private text in federated learning of language models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:26:17.973076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 37c151ad-bcb2-4bbd-883e-b2d4d817b27f · outbound

This paper cites Fastai: A layered api for deep learning.

Hidden Data Privacy Breaches in Federated Learning Fastai: A layered api for deep learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T11:26:16.969114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 042122d2-a516-4ca6-8575-120de7120f2a · outbound

This paper cites Gaia: {Geo- Distributed} machine learning approaching {LAN} speeds.

Hidden Data Privacy Breaches in Federated Learning Gaia: {Geo- Distributed} machine learning approaching {LAN} speeds

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:26:17.947820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation af91500e-90bf-4074-b4d4-2e0ff4f4e733 · outbound

This paper cites Gradient inversion with generative image prior.

Hidden Data Privacy Breaches in Federated Learning Gradient inversion with generative image prior

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:26:17.931912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3ef11c89-ef5b-4b77-adb3-66f1b3802ed4 · outbound

This paper cites Advances and open problems in federated learning.

Hidden Data Privacy Breaches in Federated Learning Advances and open problems in federated learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T11:26:16.983181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2a80ffc-d511-48a8-8574-d40da3d1d8ab · outbound

This paper cites Federated Learning: Strategies for Improving Communication Efficiency.

Hidden Data Privacy Breaches in Federated Learning Federated Learning: Strategies for Improving Communication Efficiency

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T11:26:16.988215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ba1f820-e7e0-44a7-a33a-252e79125c23 · outbound

This paper cites Learning multiple layers of features from tiny images.

Hidden Data Privacy Breaches in Federated Learning Learning multiple layers of features from tiny images

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T11:26:16.993172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1e6ce58-ff58-4a16-a241-0646f2994a6d · outbound

This paper cites Gradient disaggregation: Breaking pri- vacy in federated learning by reconstructing the user participant matrix.

Hidden Data Privacy Breaches in Federated Learning Gradient disaggregation: Breaking pri- vacy in federated learning by reconstructing the user participant matrix

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:26:17.893002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ab7ea823-020a-4a29-a972-c856ca124b25 · outbound

This paper cites Auditing pri- vacy defenses in federated learning via generative gradient leakage.

Hidden Data Privacy Breaches in Federated Learning Auditing pri- vacy defenses in federated learning via generative gradient leakage

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:26:17.877078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5985c01b-4b7f-4c7b-91ab-c41ad965e8f7 · outbound

This paper cites Channel pruning based on mean gradient for accelerating convolutional neural networks.

Hidden Data Privacy Breaches in Federated Learning Channel pruning based on mean gradient for accelerating convolutional neural networks

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:26:17.860277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9965387d-c21d-4863-b87a-323b8f9156c6 · outbound

This paper cites How does noise help robustness? explanation and exploration under the neural sde framework.

Hidden Data Privacy Breaches in Federated Learning How does noise help robustness? explanation and exploration under the neural sde framework

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:26:17.844393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e5023abe-85a7-4edf-b686-b9e3f4443fef · outbound

This paper cites Deep learning face attributes in the wild.

Hidden Data Privacy Breaches in Federated Learning Deep learning face attributes in the wild

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:26:17.828949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 90eed02f-713a-4699-b332-d4a16045eb87 · outbound

This paper cites Discriminator-free generative adversarial attack.

Hidden Data Privacy Breaches in Federated Learning Discriminator-free generative adversarial attack

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T11:26:17.022179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ea04e61-f9e3-423a-845e-addf2360334a · outbound

This paper cites Tackling system and statistical heterogeneity for federated learning with adaptive client sampling.

Hidden Data Privacy Breaches in Federated Learning Tackling system and statistical heterogeneity for federated learning with adaptive client sampling

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:26:17.802778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d978c20e-51d3-424d-9e7d-4be8452bc505 · outbound

This paper cites Feature inference attack on model predictions in vertical federated learning.

Hidden Data Privacy Breaches in Federated Learning Feature inference attack on model predictions in vertical federated learning

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:26:17.786269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0d3b7691-cbd4-44cf-a819-aa0277ead5d3 · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data.

Hidden Data Privacy Breaches in Federated Learning Communication-efficient learning of deep networks from decentralized data

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T11:26:17.037222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2633dda9-0b67-4cde-958c-9869e914732b · outbound

This paper cites Exploiting unintended feature leakage in collaborative learning.

Hidden Data Privacy Breaches in Federated Learning Exploiting unintended feature leakage in collaborative learning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:26:17.759554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2a77d1a6-fbfd-47a7-a2e3-b978bc7cd693 · outbound

This paper cites Adaptive federated dropout: Improving communication efficiency and gener- alization for federated learning.

Hidden Data Privacy Breaches in Federated Learning Adaptive federated dropout: Improving communication efficiency and gener- alization for federated learning

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:26:17.744189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4f9cbca7-2ae9-435e-8203-daf9cf1d62fe · outbound

This paper cites Comprehensive privacy analysis of deep learning: Passive and active white-box in- ference attacks against centralized and federated learning.

Hidden Data Privacy Breaches in Federated Learning Comprehensive privacy analysis of deep learning: Passive and active white-box in- ference attacks against centralized and federated learning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:26:17.729082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7c1b494e-2a3c-4c4f-b3ea-b2b2707ca959 · outbound

This paper cites fairseq: A Fast, Extensible Toolkit for Sequence Modeling.

Hidden Data Privacy Breaches in Federated Learning fairseq: A Fast, Extensible Toolkit for Sequence Modeling

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T11:26:17.056473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 335d94a5-49a6-413f-a648-8916a581150e · outbound

This paper cites Eluding secure aggregation in federated learning via model inconsistency.

Hidden Data Privacy Breaches in Federated Learning Eluding secure aggregation in federated learning via model inconsistency

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:26:17.712990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cf3e16cf-2faa-401e-93fe-ed98f583b5b6 · outbound

This paper cites Aggregating capacity in fl through successive layer training for computationally-constrained devices.

Hidden Data Privacy Breaches in Federated Learning Aggregating capacity in fl through successive layer training for computationally-constrained devices

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:26:17.696870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 88582152-c379-4ed5-a9d8-42e966adf132 · outbound

This paper cites Privacy-preserving deep learning: Revisited and enhanced.

Hidden Data Privacy Breaches in Federated Learning Privacy-preserving deep learning: Revisited and enhanced

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:26:17.681309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c9a10967-218e-4acd-92bc-09abbd1eef22 · outbound

This paper cites Soteria: Provable defense against privacy leakage in federated learning from representation perspective.

Hidden Data Privacy Breaches in Federated Learning Soteria: Provable defense against privacy leakage in federated learning from representation perspective

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:26:17.664856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9f47f058-fc7d-4324-9063-4275f504db74 · outbound

This paper cites SAPAG: A Self-Adaptive Privacy Attack From Gradients.

Hidden Data Privacy Breaches in Federated Learning SAPAG: A Self-Adaptive Privacy Attack From Gradients

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-12T11:26:17.081135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b79201c-fba2-4d32-88ae-3eb373f0c277 · outbound

This paper cites Beyond inferring class representatives: User-level privacy leakage from federated learning.

Hidden Data Privacy Breaches in Federated Learning Beyond inferring class representatives: User-level privacy leakage from federated learning

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:26:17.648905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d27e5258-1441-464e-850e-856a7150741f · outbound

This paper cites A Framework for Evaluating Gradient Leakage Attacks in Federated Learning.

Hidden Data Privacy Breaches in Federated Learning A Framework for Evaluating Gradient Leakage Attacks in Federated Learning

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T11:26:17.091942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8f06907-21ed-448e-b456-7cdea0caaa36 · outbound

This paper cites Gradient-leakage resilient federated learning.

Hidden Data Privacy Breaches in Federated Learning Gradient-leakage resilient federated learning

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:26:17.630976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4a9c64f0-c814-4e56-ad37-13e79ce5ca0f · outbound

This paper cites Federated dropout—a simple approach for enabling federated learning on resource con- strained devices.

Hidden Data Privacy Breaches in Federated Learning Federated dropout—a simple approach for enabling federated learning on resource con- strained devices

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:26:17.614785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 276c7e10-e486-43f3-b999-a0e9fe32c6f8 · outbound

This paper cites Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification.

Hidden Data Privacy Breaches in Federated Learning Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T11:26:17.107366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64387c31-14bb-4e54-8d3f-273207a8e27d · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

Hidden Data Privacy Breaches in Federated Learning HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T11:26:17.113283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6afeb98f-9464-40ad-b22f-feb95a3bdd8f · outbound

This paper cites Patchguard: A provably robust defense against adversarial patches via small receptive fields and masking.

Hidden Data Privacy Breaches in Federated Learning Patchguard: A provably robust defense against adversarial patches via small receptive fields and masking

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:26:17.597409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cc70ccc8-a6be-4b67-91ee-47b89af1b77e · outbound

This paper cites Using highly compressed gradients in federated learning for data recon- struction attacks.

Hidden Data Privacy Breaches in Federated Learning Using highly compressed gradients in federated learning for data recon- struction attacks

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:26:17.579862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 37ec7b18-e1eb-4fa5-900c-055c2e61d524 · outbound

This paper cites Representations des nombres naturels par une somme de nombres de fibonacci on de nombres de lucas.

Hidden Data Privacy Breaches in Federated Learning Representations des nombres naturels par une somme de nombres de fibonacci on de nombres de lucas

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:26:17.562962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f3e73a44-d092-402c-9577-ce1ed2968ec9 · outbound

This paper cites Why gradient clipping accelerates training: A theoretical justification for adaptivity.

Hidden Data Privacy Breaches in Federated Learning Why gradient clipping accelerates training: A theoretical justification for adaptivity

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-12T11:26:17.133029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21d369af-974a-40ec-b7a6-9e45ac292d09 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Hidden Data Privacy Breaches in Federated Learning The unreasonable effectiveness of deep features as a perceptual metric

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-12T11:26:17.138259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48667265-a210-4da1-997d-ff95122d9c5a · outbound

This paper cites Compromise privacy in large-batch federated learning via malicious model parameters.

Hidden Data Privacy Breaches in Federated Learning Compromise privacy in large-batch federated learning via malicious model parameters

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:26:17.536981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 35195353-0628-4a0a-b7c3-02d4b7799aa8 · outbound

This paper cites The resource problem of using linear layer leakage attack in federated learning.

Hidden Data Privacy Breaches in Federated Learning The resource problem of using linear layer leakage attack in federated learning

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:26:17.520987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4020d471-dfc4-4ee2-b63d-fda8fb6f2247 · outbound

This paper cites Loki: Large-scale data reconstruction attack against federated learning through model manipulation.

Hidden Data Privacy Breaches in Federated Learning Loki: Large-scale data reconstruction attack against federated learning through model manipulation

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:26:17.504682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6e909f96-8b0c-4ae3-9561-f3b566c5ed53 · outbound

This paper cites R-GAP: Recursive Gradient Attack on Privacy.

Hidden Data Privacy Breaches in Federated Learning R-GAP: Recursive Gradient Attack on Privacy

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-12T11:26:17.157235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64c2835f-cdd1-4bc0-9bad-2135c3a02ad9 · outbound

This paper cites Deep leakage from gradients.

Hidden Data Privacy Breaches in Federated Learning Deep leakage from gradients

Reference 60

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T11:26:17.487544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

Observation 29b4d257-2913-4865-8649-5dad311c87e8 · inbound

Mitigating Data Exfiltration Attacks through Layer-Wise Learning Rate Decay Fine-Tuning cites this paper.

Mitigating Data Exfiltration Attacks through Layer-Wise Learning Rate Decay Fine-Tuning Hidden Data Privacy Breaches in Federated Learning

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T18:32:30.850850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.