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Paper Citation Record · LEDGER

AdaMixup: A Dynamic Defense Framework for Membership Inference Attack Mitigation

As of 13 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2501.02182.

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

pith.paper-citation-record.v1
2501.02182 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:17:51.258347Z

measured 16 of 16 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 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

16 of 16 outbound references displayed

  • verified exact1
  • verified fuzzy14
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 814b6fbb-cee7-400d-a662-778aa9711ca7 · outbound

This paper cites A review on bayesian deep learning in healthcare: Applications and challenges,.

AdaMixup: A Dynamic Defense Framework for Membership Inference Attack Mitigation A review on bayesian deep learning in healthcare: Applications and challenges,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:17:51.493211Z

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.

source=pdf_text observed=2026-08-10T22:17:51.194761Z digest=sha256:67f4d653da93a898c3d0f73497ba8b22bcdaca2a6481698d7a0ae6afa8d1b201

Observation 45de6dd3-2e33-409a-ad72-ffe2b01ac041 · outbound

This paper cites Machine learning in finance: the case of deep learning for option pricing,.

AdaMixup: A Dynamic Defense Framework for Membership Inference Attack Mitigation Machine learning in finance: the case of deep learning for option pricing,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:17:51.480312Z

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.

source=pdf_text observed=2026-08-10T22:17:51.200081Z digest=sha256:1d7da69fd430e837e735597f6fa891584b626b1682125b17c358e20b8f04ae7f

Observation c90b4936-be1f-431a-8a22-f0837ae67576 · outbound

This paper cites A comparison of automl tools for machine learning, deep learning and xgboost,.

AdaMixup: A Dynamic Defense Framework for Membership Inference Attack Mitigation A comparison of automl tools for machine learning, deep learning and xgboost,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:17:51.467868Z

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.

source=pdf_text observed=2026-08-10T22:17:51.204610Z digest=sha256:c15656f3b551aa565c8af790ea07c629de018dc498a89292ebb7b2969b64e1d5

Observation f489d7b8-de64-45df-8982-b48cd4d522a3 · outbound

This paper cites Advanced User Credit Risk Prediction Model using LightGBM, XGBoost and Tabnet with SMOTEENN.

AdaMixup: A Dynamic Defense Framework for Membership Inference Attack Mitigation Advanced User Credit Risk Prediction Model using LightGBM, XGBoost and Tabnet with SMOTEENN

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:17:51.318144Z

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.

source=pdf_text observed=2026-08-10T22:17:51.209074Z digest=sha256:b474450320110dee0082c5656cfcea31bb83183d6653ff7a4eb8bee0b961ed22

Observation 42354b93-bd14-47be-8edb-fac93a8756b4 · outbound

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

AdaMixup: A Dynamic Defense Framework for Membership Inference Attack Mitigation ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T22:17:51.214056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:17:51.214056Z digest=sha256:e9183a8581cb5d40e5f9298fc2463f28b8c1ca21c878a8910bdf89d8935064a1

Observation 9c96b836-d5fc-40da-9762-c8f951117a8e · outbound

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

AdaMixup: A Dynamic Defense Framework for Membership Inference Attack Mitigation Membership inference attacks against machine learning models,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:17:51.454553Z

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.

source=pdf_text observed=2026-08-10T22:17:51.218120Z digest=sha256:f7f3bdc2bc280b7a6151e2c5ce9cfc880b51464a0660bca8ab6805e62180810f

Observation e42c86b4-fecc-42f2-962c-6f2114fb538a · outbound

This paper cites Membership inference attacks and defenses in classification models,.

AdaMixup: A Dynamic Defense Framework for Membership Inference Attack Mitigation Membership inference attacks and defenses in classification models,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:17:51.443271Z

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.

source=pdf_text observed=2026-08-10T22:17:51.222055Z digest=sha256:c64c318b41144e5ae70a12a94e5729c52d16fd74deafa09fc814d878fa44eabc

Observation 24aca1f3-02a0-4167-99bb-aef0d1e67f17 · outbound

This paper cites Privacy-preserving in defending against membership inference attacks,.

AdaMixup: A Dynamic Defense Framework for Membership Inference Attack Mitigation Privacy-preserving in defending against membership inference attacks,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:17:51.430363Z

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.

source=pdf_text observed=2026-08-10T22:17:51.225545Z digest=sha256:09c451587a96396b5c8560b9723796b9a3db69f1359737e827ea1bdaccf01d87

Observation f4b47ab1-69ab-4bc2-bc4d-53b710231d9b · outbound

This paper cites Pfe-kd: A defense method against membership inference attack without loss of accuracy,.

AdaMixup: A Dynamic Defense Framework for Membership Inference Attack Mitigation Pfe-kd: A defense method against membership inference attack without loss of accuracy,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:17:51.417966Z

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.

source=pdf_text observed=2026-08-10T22:17:51.229470Z digest=sha256:4727e7837d37a11b2918344047c927ee612ed5414bf301c54d3e3d536d317dd5

Observation 39f6632a-cdde-4fdd-a8e8-df31169169ba · outbound

This paper cites Memguard: Defending against black-box mem- bership inference attacks via adversarial examples,.

AdaMixup: A Dynamic Defense Framework for Membership Inference Attack Mitigation Memguard: Defending against black-box mem- bership inference attacks via adversarial examples,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:17:51.404266Z

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.

source=pdf_text observed=2026-08-10T22:17:51.233942Z digest=sha256:80d0b217cca97a54a69c7d8dea0a8805e690a11cbc73f7e754426de8f5790630

Observation 8db49f94-8999-4562-a93e-81ccfe516402 · outbound

This paper cites Mixup training for generative models to defend membership inference attacks,.

AdaMixup: A Dynamic Defense Framework for Membership Inference Attack Mitigation Mixup training for generative models to defend membership inference attacks,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:17:51.393401Z

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.

source=pdf_text observed=2026-08-10T22:17:51.237583Z digest=sha256:21c302ca63d455a28993080a3513674e9d7ff027614ba173172097874a4bf6ee

Observation 10605692-e096-4d2f-8944-5a406398afbf · outbound

This paper cites Label-only membership inference attacks,.

AdaMixup: A Dynamic Defense Framework for Membership Inference Attack Mitigation Label-only membership inference attacks,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:17:51.382796Z

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.

source=pdf_text observed=2026-08-10T22:17:51.241572Z digest=sha256:c46b381632c0a30cccfcd9d0e50c19c2b9e5dda1dd0dec4af79e98803a91ae84

Observation 8cbcced4-e32b-4fb7-95ed-469c173dd23f · outbound

This paper cites A member inference attack defense method based on differential privacy and data enhancement,.

AdaMixup: A Dynamic Defense Framework for Membership Inference Attack Mitigation A member inference attack defense method based on differential privacy and data enhancement,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:17:51.370357Z

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.

source=pdf_text observed=2026-08-10T22:17:51.245918Z digest=sha256:f3cd1dcaf6d4634c96ac0b7a398645aceec5f532f86c602676c9a91e0b8fd5a5

Observation 3f46c8e6-6299-4fa8-bbf7-b49cdc206378 · outbound

This paper cites Artificial intelligence aspect of transportation analysis using large scale systems,.

AdaMixup: A Dynamic Defense Framework for Membership Inference Attack Mitigation Artificial intelligence aspect of transportation analysis using large scale systems,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:17:51.357412Z

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.

source=pdf_text observed=2026-08-10T22:17:51.250177Z digest=sha256:2094a9085bfa09f265817151c4ce9cd01d4a94c9f28b4294e77198a52ac43b78

Observation bd3f9a11-0d46-4d80-987e-816f65cca270 · outbound

This paper cites Applying conditional generative adversarial networks for imaging diagnosis,.

AdaMixup: A Dynamic Defense Framework for Membership Inference Attack Mitigation Applying conditional generative adversarial networks for imaging diagnosis,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:17:51.344832Z

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.

source=pdf_text observed=2026-08-10T22:17:51.254169Z digest=sha256:c5c0f0c52437b2f8a999f0e421420113c82e192bd8d40994b9aca4b37aae6030

Observation 7181573d-1033-451e-9415-9c11c9421e72 · outbound

This paper cites Mixup as locally linear out-of-manifold regularization,.

AdaMixup: A Dynamic Defense Framework for Membership Inference Attack Mitigation Mixup as locally linear out-of-manifold regularization,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:17:51.332323Z

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.

source=pdf_text observed=2026-08-10T22:17:51.258347Z digest=sha256:a4feab159663804471abf7322a425cdc81bf237b1bb3a7d8764825b7e3de9f5d

Pith citing papers

No inbound Pith citation observations are available.