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Paper Citation Record · LEDGER

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates

As of 11 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2412.20456.

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

pith.paper-citation-record.v1
2412.20456 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:29:54.627782Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

35 of 35 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 34493b7b-5f28-4768-8885-d2ed576592eb · outbound

This paper cites The composition theorem for differential privacy,.

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates The composition theorem for differential privacy,

Reference 1

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Source-reported events for the cited work

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Observation f6f87177-5abf-4aeb-9675-556d25a9e301 · outbound

This paper cites Large-scale spatial-transmission models of infectious disease,.

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates Large-scale spatial-transmission models of infectious disease,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 5fbb380a-e994-4ba9-8ce8-f31d49e6d58d · outbound

This paper cites How spatial epidemiology helps understand infectious human disease transmission,.

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates How spatial epidemiology helps understand infectious human disease transmission,

Reference 3

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Source-reported events for the cited work

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Observation ce6a49fe-ad90-4da2-853c-227e893eec3a · outbound

This paper cites Urban planning and building smart cities based on the internet of things using big data analytics,.

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates Urban planning and building smart cities based on the internet of things using big data analytics,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 85eb9c2f-6eb9-460e-b593-81ad33d3c139 · outbound

This paper cites Protecting locations with differential privacy under temporal correlations,.

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates Protecting locations with differential privacy under temporal correlations,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation f1c878c2-79c3-4388-afbe-502e08f6f207 · outbound

This paper cites A zero auxiliary knowledge membership inference attack on aggregate location data,.

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates A zero auxiliary knowledge membership inference attack on aggregate location data,

Reference 6

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Source-reported events for the cited work

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Observation 69a91d31-0ec3-41dc-a33e-aec6720bd981 · outbound

This paper cites Differential privacy,.

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates Differential privacy,

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e0750e0e-04b9-4142-8d06-3ad7c711d318 · outbound

This paper cites The algorithmic foundations of differential privacy,.

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates The algorithmic foundations of differential privacy,

Reference 8

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Observation 1e829302-3ff3-4923-b2dd-14fba0e5ec6c · outbound

This paper cites Optimal noise-adding mechanism in additive differential privacy,.

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates Optimal noise-adding mechanism in additive differential privacy,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 828377bb-b170-43f6-87a4-53a4388ef933 · outbound

This paper cites Unleash the Power of Ellipsis: Accuracy-enhanced Sparse Vector Technique with Exponential Noise.

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates Unleash the Power of Ellipsis: Accuracy-enhanced Sparse Vector Technique with Exponential Noise

Reference 10

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Source-reported events for the cited work

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Observation ba84a40d-a779-41d9-b5a8-d196d7465f69 · outbound

This paper cites R ´enyi differential privacy,.

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates R ´enyi differential privacy,

Reference 11

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Observation b1cf93ed-7649-442b-ac17-7fc1d6ec82e6 · outbound

This paper cites Gaussian differential privacy,.

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates Gaussian differential privacy,

Reference 12

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Unavailable: canonical work link unavailable.

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Observation 40e47c11-b716-4a96-9137-90fa97461ddc · outbound

This paper cites Membership inference attacks from first principles,.

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates Membership inference attacks from first principles,

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 61c92a58-b732-4a8e-a459-3674aa9d2df8 · outbound

This paper cites Enhanced membership inference attacks against machine learning models,.

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates Enhanced membership inference attacks against machine learning models,

Reference 14

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Observation a5f44f22-947d-40a5-a7ac-f80946b4759d · outbound

This paper cites Knock knock, who’s there? membership inference on aggregate location data,.

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates Knock knock, who’s there? membership inference on aggregate location data,

Reference 15

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Source-reported events for the cited work

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Observation 03860d68-6afd-43d3-bfec-ffe9232ad1cd · outbound

This paper cites Likelihood ratio tests, neyman-pearson detectors, roc curves, and sufficient statistics,.

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates Likelihood ratio tests, neyman-pearson detectors, roc curves, and sufficient statistics,

Reference 16

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Source-reported events for the cited work

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Observation 74d0a9b6-2805-49a8-b134-58eb8ca640c1 · outbound

This paper cites Learning poisson binomial distributions,.

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates Learning poisson binomial distributions,

Reference 17

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Source-reported events for the cited work

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Observation 767f6c2f-e99a-4956-9381-f33c386b5c18 · outbound

This paper cites Robust traceability from trace amounts,.

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates Robust traceability from trace amounts,

Reference 18

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Source-reported events for the cited work

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Observation 4c45c403-34b9-4490-9790-a544ef342968 · outbound

This paper cites A multi-source dataset of urban life in the city of milan and the province of trentino,.

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates A multi-source dataset of urban life in the city of milan and the province of trentino,

Reference 19

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Source-reported events for the cited work

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Observation 442d8379-608e-4ae9-a76a-270730f0095d · outbound

This paper cites Social Pulse - Milano,.

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates Social Pulse - Milano,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation bbdfd9a4-61b5-4be2-91b6-c232296a29e3 · outbound

This paper cites Collecting triangle counts with edge relationship local differential privacy,.

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates Collecting triangle counts with edge relationship local differential privacy,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 195124ea-859b-41bd-b509-609082dd1e42 · outbound

This paper cites Edge-protected triangle count estimation under relationship local differential privacy,.

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates Edge-protected triangle count estimation under relationship local differential privacy,

Reference 22

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Source-reported events for the cited work

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Observation f4ec1081-00c9-41ca-8bae-5f3c5a1fd0d3 · outbound

This paper cites Membership Inference Attacks by Exploiting Loss Trajectory.

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates Membership Inference Attacks by Exploiting Loss Trajectory

Reference 23

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Source-reported events for the cited work

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Observation 648a5605-22b7-41c7-92c2-59b613fb3e32 · outbound

This paper cites Resolving individuals contributing trace amounts of dna to highly complex mixtures using high-density snp genotyping microarrays,.

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates Resolving individuals contributing trace amounts of dna to highly complex mixtures using high-density snp genotyping microarrays,

Reference 24

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Source-reported events for the cited work

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Observation 986c4f9c-7182-43a1-b817-d8f0ead883fd · outbound

This paper cites Measuring Membership Privacy on Aggregate Location Time-Series.

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates Measuring Membership Privacy on Aggregate Location Time-Series

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation b7193806-ad9b-41f0-8f81-7af755cc5373 · outbound

This paper cites Membership inference attacks against machine learning models,.

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates Membership inference attacks against machine learning models,

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 33b666f4-d004-4d1b-bb03-b0edc1eb802b · outbound

This paper cites Privacy risk in machine learning: Analyzing the connection to overfitting,.

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates Privacy risk in machine learning: Analyzing the connection to overfitting,

Reference 27

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Unavailable: canonical work link unavailable.

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Observation 203ba0f2-6979-400b-8c8e-348e22d02cd1 · outbound

This paper cites Low-cost high-power membership inference attacks,.

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates Low-cost high-power membership inference attacks,

Reference 28

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Source-reported events for the cited work

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Observation 7d81b1c4-7131-48b5-950b-49340e3e676d · outbound

This paper cites ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models.

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 85f1bb65-d457-42bf-8d84-6a5d20e27f75 · outbound

This paper cites A pragmatic ap- proach to membership inferences on machine learning models,.

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates A pragmatic ap- proach to membership inferences on machine learning models,

Reference 30

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Source-reported events for the cited work

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Observation 20d07195-4d9c-494d-969d-676976ba4cbd · outbound

This paper cites On the privacy risks of model explanations,.

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates On the privacy risks of model explanations,

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation db6da42c-0b57-4323-aa85-2fb2be79b379 · outbound

This paper cites Stealing links from graph neural networks,.

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates Stealing links from graph neural networks,

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 0cfc81b7-20ea-492b-850c-e43c72ebbe8d · outbound

This paper cites Inference attacks against graph neural networks,.

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates Inference attacks against graph neural networks,

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation a4874f45-6361-4166-99ec-74ac8124b825 · outbound

This paper cites Link Stealing Attacks Against Inductive Graph Neural Networks.

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates Link Stealing Attacks Against Inductive Graph Neural Networks

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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This paper cites Systematic evaluation of privacy risks of machine learning models,.

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates Systematic evaluation of privacy risks of machine learning models,

Reference 35

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