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Paper Citation Record · LEDGER

Rethinking Membership Inference Attacks Against Transfer Learning

As of 11 August 2026, this Paper Citation Record lists 85 of 85 outbound references and 0 inbound Pith citation observations for arXiv:2501.11577.

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

pith.paper-citation-record.v1
2501.11577 v1

Coverage vector

measured 85 of 85 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:12:46.966354Z

measured 85 of 85 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

85 of 85 outbound references displayed

  • verified exact2
  • verified fuzzy55
  • unresolved28
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 85d19e7c-fb5f-4be0-9335-fa34f06204cb · outbound

This paper cites With great training comes great vulnerability: Practical attacks against transfer learning,.

Rethinking Membership Inference Attacks Against Transfer Learning With great training comes great vulnerability: Practical attacks against transfer learning,

Reference 1

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Observation 553d574e-ac2d-4bf1-a721-abf6c47d08c7 · outbound

This paper cites Transfer learning in deep reinforcement learning: A survey,.

Rethinking Membership Inference Attacks Against Transfer Learning Transfer learning in deep reinforcement learning: A survey,

Reference 2

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Observation 7757d9ff-412a-4049-8674-3911f794d559 · outbound

This paper cites IC3M: In-Car Multimodal Multi-object Monitoring for Abnormal Status of Both Driver and Passengers.

Rethinking Membership Inference Attacks Against Transfer Learning IC3M: In-Car Multimodal Multi-object Monitoring for Abnormal Status of Both Driver and Passengers

Reference 3

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Observation 7cbe6012-e985-46d0-a86d-6bf021e47762 · outbound

This paper cites Efficient parallel split learning over resource-constrained wireless edge networks,.

Rethinking Membership Inference Attacks Against Transfer Learning Efficient parallel split learning over resource-constrained wireless edge networks,

Reference 4

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source=pdf_text observed=2026-08-10T18:12:46.688946Z digest=sha256:b0d3a6db9fa0b6d6c054a09cf0d2c0c0733875f319ddde91fdca5b1af176fdb0

Observation 564c4c7d-35f7-4d35-93ed-f0721f0b7412 · outbound

This paper cites Towards Effective Detection of Ponzi schemes on Ethereum with Contract Runtime Behavior Graph.

Rethinking Membership Inference Attacks Against Transfer Learning Towards Effective Detection of Ponzi schemes on Ethereum with Contract Runtime Behavior Graph

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation f299105a-be02-4d8f-8316-d329e5de6ff7 · outbound

This paper cites Constructing 4D Radio Map in LEO Satellite Networks with Limited Samples.

Rethinking Membership Inference Attacks Against Transfer Learning Constructing 4D Radio Map in LEO Satellite Networks with Limited Samples

Reference 6

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source=pdf_text observed=2026-08-10T18:12:46.697090Z digest=sha256:a6c817c8b0595bbb8c4af5810e95cb06bbee2a1ca2a91e803d11e6c71965bc45

Observation 0989f9b2-5342-464f-a447-0613c24eabca · outbound

This paper cites Graph learning for multi-satellite based spectrum sensing,.

Rethinking Membership Inference Attacks Against Transfer Learning Graph learning for multi-satellite based spectrum sensing,

Reference 7

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Observation faa4b49a-5fb8-411b-9add-18f42eeebf6b · outbound

This paper cites Channel power gain estimation for terahertz vehicle-to-infrastructure networks,.

Rethinking Membership Inference Attacks Against Transfer Learning Channel power gain estimation for terahertz vehicle-to-infrastructure networks,

Reference 8

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source=pdf_text observed=2026-08-10T18:12:46.704524Z digest=sha256:5eb85577e456ca3e155a41e3a511dd0651e498c907be5913feccf561ba9e73ae

Observation e8e4e357-a51d-441f-8faf-db5074d871be · outbound

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

Rethinking Membership Inference Attacks Against Transfer Learning Membership inference attacks against machine learning models,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.707921Z digest=sha256:de722238594157a09ad14f8a3446a21eb4e4b0e4124daecdc63a3c1f6d7dabfa

Observation 6f8099d4-c993-4b31-8f07-88ca98898cd5 · outbound

This paper cites Fedsn: A federated learning framework over heterogeneous leo satellite networks,.

Rethinking Membership Inference Attacks Against Transfer Learning Fedsn: A federated learning framework over heterogeneous leo satellite networks,

Reference 10

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source=pdf_text observed=2026-08-10T18:12:46.711355Z digest=sha256:9e8333e5477ace3b7ca33aba80b03c612441c3c64cf00002bb4ad3b789cbe15a

Observation 1506fdcf-7041-41c8-bc3b-d3bc9d26f39c · outbound

This paper cites Generated distributions are all you need for membership inference attacks against generative models,.

Rethinking Membership Inference Attacks Against Transfer Learning Generated distributions are all you need for membership inference attacks against generative models,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.715649Z digest=sha256:44d5a8de05e3e3e9518ee7adc65bb4657ef3daeecdc5a0f33a8e30286a076e47

Observation a5007db4-f375-4694-a7d4-4c9f4696685d · outbound

This paper cites Hierarchical Split Federated Learning: Convergence Analysis and System Optimization.

Rethinking Membership Inference Attacks Against Transfer Learning Hierarchical Split Federated Learning: Convergence Analysis and System Optimization

Reference 12

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Observation 9ded8328-e358-49f6-921e-d1603ae19d54 · outbound

This paper cites Label-leaks: Membership inference attack with label,.

Rethinking Membership Inference Attacks Against Transfer Learning Label-leaks: Membership inference attack with label,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.722780Z digest=sha256:ebd7fe8cfbebabe2899bd6878dd5f02d536b75ee6a9abe00f1d754b3f3faea1a

Observation 5f1f694e-b607-42ca-910f-496836d54fe8 · outbound

This paper cites Machine learning with membership privacy using adversarial regularization,.

Rethinking Membership Inference Attacks Against Transfer Learning Machine learning with membership privacy using adversarial regularization,

Reference 14

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.726093Z digest=sha256:e925f01e2d41872a38d7fc57aaf1d29b4b29d082aca92f2e4811df3f8736d88f

Observation 0346628b-9fa4-449d-8e26-0201431bdc0c · outbound

This paper cites SatFed: A Resource-Efficient LEO Satellite-Assisted Heterogeneous Federated Learning Framework.

Rethinking Membership Inference Attacks Against Transfer Learning SatFed: A Resource-Efficient LEO Satellite-Assisted Heterogeneous Federated Learning Framework

Reference 15

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source=pdf_text observed=2026-08-10T18:12:46.729303Z digest=sha256:2620a22b6e7a91955efaa58baf626e2a6bdc66cf1b4d41b02fc55bdac2c758b8

Observation e853877f-2871-459c-b13c-feb16ae7aa89 · outbound

This paper cites Source inference attacks: Beyond membership inference attacks in federated learning,.

Rethinking Membership Inference Attacks Against Transfer Learning Source inference attacks: Beyond membership inference attacks in federated learning,

Reference 16

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.734098Z digest=sha256:595585edb3ff7882e15e26aa3084f7a3a8cd90dd400db70b8974cf4eaa11d2de

Observation 28883d5e-5af4-4381-a1bb-7844c29315a5 · outbound

This paper cites Face mask detection using transfer learning of inceptionv3,.

Rethinking Membership Inference Attacks Against Transfer Learning Face mask detection using transfer learning of inceptionv3,

Reference 17

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.737937Z digest=sha256:2dfa6c0471e771ab98c559880b4e651e5d7982fc01a5ce324f91251553c91085

Observation c6f11443-3104-4cbd-98f3-8311bf7b187f · outbound

This paper cites Ml- leaks: Model and data independent membership inference attacks and defenses on machine learning models,.

Rethinking Membership Inference Attacks Against Transfer Learning Ml- leaks: Model and data independent membership inference attacks and defenses on machine learning models,

Reference 18

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.741298Z digest=sha256:0751e04d040169aef25ab3e8404bb972b30ce8ebb66702eb7b9235548885a5cc

Observation a80751af-9bf4-4226-89f8-5cc1981f413d · outbound

This paper cites General data protection regulation (gdpr),.

Rethinking Membership Inference Attacks Against Transfer Learning General data protection regulation (gdpr),

Reference 19

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.744541Z digest=sha256:7b08761bd8171381c0d914a0196f9e78b9f49f6494b7fd78f84962d8e2378ee3

Observation 84a537d5-5281-4c07-a4de-cb9492b37a91 · outbound

This paper cites California consumer privacy act (ccpa),.

Rethinking Membership Inference Attacks Against Transfer Learning California consumer privacy act (ccpa),

Reference 20

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source=pdf_text observed=2026-08-10T18:12:46.747967Z digest=sha256:b82778b1324ade02b30ced85817689440eb11671bb1ae319eaace39af79563a1

Observation 9334c6e1-1c58-47c8-b08e-397112fbf994 · outbound

This paper cites It’s all in the touch: Authenticating users with host gestures on multi-touch screen devices,.

Rethinking Membership Inference Attacks Against Transfer Learning It’s all in the touch: Authenticating users with host gestures on multi-touch screen devices,

Reference 21

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.751278Z digest=sha256:c8053be69b562176f89e278f9dc3a0038ce97c8af65c1a36b089125ba41d882c

Observation be55d021-8658-4cd3-9cc5-d5911a44b8b6 · outbound

This paper cites A survey of privacy attacks in machine learning,.

Rethinking Membership Inference Attacks Against Transfer Learning A survey of privacy attacks in machine learning,

Reference 22

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source=pdf_text observed=2026-08-10T18:12:46.755004Z digest=sha256:3f743e6ae7019684dcfb5e95676849d84a4695e8d89a8a621a382e72956ea681

Observation ace17ac2-57aa-4f89-bf58-7712964a6561 · outbound

This paper cites Differentially private hypothesis transfer learning,.

Rethinking Membership Inference Attacks Against Transfer Learning Differentially private hypothesis transfer learning,

Reference 23

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source=pdf_text observed=2026-08-10T18:12:46.758334Z digest=sha256:6009998beef10f33ac05357c44e735108709d3f5e907931a44a9d77f6870346b

Observation c991f7f3-25e3-49ee-85ac-59bf7b4d9934 · outbound

This paper cites Privacy-preserving heterogeneous federated transfer learning,.

Rethinking Membership Inference Attacks Against Transfer Learning Privacy-preserving heterogeneous federated transfer learning,

Reference 24

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raw_fallback, observed 2026-08-10T18:12:47.746951Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.761548Z digest=sha256:f4242585eec08a16358b8fbec393f803e5e258d76aa1e6864d061e130b3d1317

Observation 2a35f01a-b673-4ecb-a6eb-839e2162ce92 · outbound

This paper cites Privacy Analysis of Deep Learning in the Wild: Membership Inference Attacks against Transfer Learning.

Rethinking Membership Inference Attacks Against Transfer Learning Privacy Analysis of Deep Learning in the Wild: Membership Inference Attacks against Transfer Learning

Reference 25

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source=pdf_text observed=2026-08-10T18:12:46.765116Z digest=sha256:5fe8e602e8c61caa3043a4b7036f6cfa9e0cf3789320fd0a550a596ec354dc29

Observation 6ed8e218-4a3a-440f-b2f5-158ceadca679 · outbound

This paper cites Transmia: membership inference attacks using transfer shadow training,.

Rethinking Membership Inference Attacks Against Transfer Learning Transmia: membership inference attacks using transfer shadow training,

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.768760Z digest=sha256:bda18aac3a99793b841ad476ebf3c7388eaca5937863dfccaaf7404870024502

Observation 34e2c038-8672-4aaf-80b7-e3af579b4694 · outbound

This paper cites Towards Measuring Membership Privacy.

Rethinking Membership Inference Attacks Against Transfer Learning Towards Measuring Membership Privacy

Reference 27

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source=pdf_text observed=2026-08-10T18:12:46.771953Z digest=sha256:006b0ac308652653c785a0dea6b18b3866b28e9189e66d25ad5fb96e8a85ae41

Observation 9bbbe749-c0ea-4c76-b801-7801661da554 · outbound

This paper cites Privacy risks of securing machine learning models against adversarial examples,.

Rethinking Membership Inference Attacks Against Transfer Learning Privacy risks of securing machine learning models against adversarial examples,

Reference 28

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raw_fallback, observed 2026-08-10T18:12:47.726419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.775719Z digest=sha256:f712435a2037d201fe8491ad5473bf4cbab1ee962582fd621cadc8b1afa320f5

Observation e303a6c9-1c3b-4973-8659-b30d44b9ea8f · outbound

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

Rethinking Membership Inference Attacks Against Transfer Learning Privacy-preserving in defending against member- ship inference attacks,

Reference 29

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raw_fallback, observed 2026-08-10T18:12:47.716882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.778527Z digest=sha256:58b4208c08befdadd601b26b3679035cd05c6d52967a6f1cdd96755db6d31a65

Observation a8b2f3ad-e366-4331-9219-9162edeccb91 · outbound

This paper cites FaceLeaks: Inference Attacks against Transfer Learning Models via Black-box Queries.

Rethinking Membership Inference Attacks Against Transfer Learning FaceLeaks: Inference Attacks against Transfer Learning Models via Black-box Queries

Reference 30

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local_arxiv, observed 2026-08-10T18:12:47.151939Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.781333Z digest=sha256:65fdd917b0ea414f10e0f6ad5dd5b5a3bb81ce8b1730049264897e937b5fbd6b

Observation 67569e06-0d27-45e3-8719-1a7eed5cf02b · outbound

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

Rethinking Membership Inference Attacks Against Transfer Learning Memguard: Defending against black-box membership inference attacks via adversarial examples,

Reference 31

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raw_fallback, observed 2026-08-10T18:12:47.706722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.784249Z digest=sha256:b6116d614a62d45780616661b71ba1cf67acd369dbf2949b8dd2f566fa397361

Observation 62620cdb-8a7b-41bd-b150-191187d06f20 · outbound

This paper cites Reinforcement learning based physical cross-layer security and privacy in 6g,.

Rethinking Membership Inference Attacks Against Transfer Learning Reinforcement learning based physical cross-layer security and privacy in 6g,

Reference 32

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raw_fallback, observed 2026-08-10T18:12:47.695873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.787123Z digest=sha256:55a39942682b697b23c86b56f790f7cf13d78c8592b07a67d79ba17df8779bcf

Observation ef699301-a5f6-4506-b2f9-447d53316fb5 · outbound

This paper cites Echohand: High accuracy and presentation attack resistant hand authentication on commodity mobile devices,.

Rethinking Membership Inference Attacks Against Transfer Learning Echohand: High accuracy and presentation attack resistant hand authentication on commodity mobile devices,

Reference 33

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raw_fallback, observed 2026-08-10T18:12:47.684624Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.790074Z digest=sha256:7fb8a54d48e93ee2066e30a807b3f87def5cbf62cc85912288a4f7ab5b0bde75

Observation c80dfd6c-1af5-4ba3-8813-ea939c5095cd · outbound

This paper cites Membership inference attacks from first principles,.

Rethinking Membership Inference Attacks Against Transfer Learning Membership inference attacks from first principles,

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.792979Z digest=sha256:b980b003c110cf9bede65d1c1e170e3313379cb9b764213eb9a298b5b0c6e88f

Observation 46411868-f5d8-46f6-b6c9-0970a1a81d0c · outbound

This paper cites Credit card analytics: A review of fraud detection and risk assessment techniques,.

Rethinking Membership Inference Attacks Against Transfer Learning Credit card analytics: A review of fraud detection and risk assessment techniques,

Reference 35

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raw_fallback, observed 2026-08-10T18:12:47.664175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.795871Z digest=sha256:ef90287489f266b1d6c33baac0362967886d25a61ed6a37047cda55b953a0a0f

Observation 71d0a50f-20eb-4244-880d-76958709b5ad · outbound

This paper cites Performance of dif- ferent machine learning algorithms in detecting financial fraud,.

Rethinking Membership Inference Attacks Against Transfer Learning Performance of dif- ferent machine learning algorithms in detecting financial fraud,

Reference 36

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raw_fallback, observed 2026-08-10T18:12:47.654007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.799169Z digest=sha256:d901daa26aeb3fad8e33ab284233103366059372df53202d2065093669aba86c

Observation 23b37e26-6a9f-4d76-a824-ba3cdd5eecb0 · outbound

This paper cites FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-supervised Medical Image Segmentation.

Rethinking Membership Inference Attacks Against Transfer Learning FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-supervised Medical Image Segmentation

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T18:12:46.802203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:12:46.802203Z digest=sha256:4e44f3893d74f502b2aac81bba509dfaa44dedc5ec04f353516af8dbe43a5e43

Observation 9aef235b-e87a-48be-9261-6fb8dff0b063 · outbound

This paper cites Efficient sparse least absolute deviation regression with differential privacy,.

Rethinking Membership Inference Attacks Against Transfer Learning Efficient sparse least absolute deviation regression with differential privacy,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:12:47.642997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.805696Z digest=sha256:e8a000c8f73ba0fe264cac1a40e8091f1009838d74ca65a5b98402eb37f69342

Observation 93e30b5a-c24d-42c4-aec3-f04c0ddb0c6a · outbound

This paper cites Hmog: New behavioral biometric features for continuous authentication of smart- phone users,.

Rethinking Membership Inference Attacks Against Transfer Learning Hmog: New behavioral biometric features for continuous authentication of smart- phone users,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:12:47.631886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.808812Z digest=sha256:98b6e90f2c80bbca503afd770814e9cdd28ce61aadd7a68fdbff513861f2ad97

Observation 7b20ffb8-5c43-435f-ba88-f0ea7667f29b · outbound

This paper cites Smart- cope: Smartphone change of possession evaluation for continuous authentication,.

Rethinking Membership Inference Attacks Against Transfer Learning Smart- cope: Smartphone change of possession evaluation for continuous authentication,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:12:47.621661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.811949Z digest=sha256:8fb5abc8d144a6832cf57d560c02cc97c0c2d10742a01c6060c71020af42085b

Observation 6adfdfa6-f3d3-4932-8695-d122caa2edf9 · outbound

This paper cites Your pin sounds good! augmentation of pin guessing strategies via audio leakage,.

Rethinking Membership Inference Attacks Against Transfer Learning Your pin sounds good! augmentation of pin guessing strategies via audio leakage,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:12:47.611271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.815450Z digest=sha256:eaf719a7a552abd363c63bd2f615726d677bbdd98043deed8b1e390fd27ad162

Observation 19b812ad-f310-4734-ac2a-9785de44c824 · outbound

This paper cites Defenses to membership inference attacks: A survey,.

Rethinking Membership Inference Attacks Against Transfer Learning Defenses to membership inference attacks: A survey,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:12:47.601581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.818746Z digest=sha256:5e5111eb9a0a110e9413021ce82dc7370d75a86482d4f874d32b4c076bd1eeee

Observation eae8e274-f960-4caa-a083-6cc6a1f309e5 · outbound

This paper cites Imagenet: A large- scale hierarchical image database,.

Rethinking Membership Inference Attacks Against Transfer Learning Imagenet: A large- scale hierarchical image database,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:12:47.590837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.821997Z digest=sha256:a4db0295beb45c3f2205889caf99bdd20e0d11058d13eb50033132ff234c1858

Observation 8f10f8dd-5d8e-467d-b34e-1ebe088d9467 · outbound

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

Rethinking Membership Inference Attacks Against Transfer Learning Learning multiple layers of features from tiny images,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-10T18:12:46.825482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:12:46.825482Z digest=sha256:5497c754a55388dcfeef18d07458ab833c638eb156c999f34b1e34ef4f7da8f3

Observation 0a678f38-e03b-40c0-9e23-3ca4cee4da56 · outbound

This paper cites 102 category flower dataset,.

Rethinking Membership Inference Attacks Against Transfer Learning 102 category flower dataset,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:12:47.571832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.828953Z digest=sha256:7818a2aabd2427188212561423374481bf79705ffc2acdf8739d11c8c95653ed

Observation cfadde28-0c0b-4229-aab2-cc9e9f53a434 · outbound

This paper cites Dogs vs. cats,.

Rethinking Membership Inference Attacks Against Transfer Learning Dogs vs. cats,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:12:47.558973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.832465Z digest=sha256:1aca98c9cd78521c3a530af037e5135c045cf1b2561279c38f7242ce62ee9414

Observation 282a9e8d-816a-4c54-bae0-982a0f3eb6be · outbound

This paper cites Deep residual learning for image recognition,.

Rethinking Membership Inference Attacks Against Transfer Learning Deep residual learning for image recognition,

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-10T18:12:46.836096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:12:46.836096Z digest=sha256:e66ab240c1046f30d63cd88e9325f3de22a9167c9862ecb4a9fbfd605969d89e

Observation e037cf00-caf2-4aa7-9418-ef78fc1856f9 · outbound

This paper cites Very deep convolutional networks for large-scale image recognition,.

Rethinking Membership Inference Attacks Against Transfer Learning Very deep convolutional networks for large-scale image recognition,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-10T18:12:46.839223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:12:46.839223Z digest=sha256:e4c3df56a7e6daf38a6495b9dd61b54a898eae7a022b9f38059d84150f9cf4ac

Observation 965fc157-6fc8-4f64-9cc3-17dcae78fda2 · outbound

This paper cites Rethinking the inception architecture for computer vision,.

Rethinking Membership Inference Attacks Against Transfer Learning Rethinking the inception architecture for computer vision,

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-10T18:12:46.843727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:12:46.843727Z digest=sha256:764097d599c69920c88c6b34bf4079b3189e9a516b10b1c6b1bddeab817e5499

Observation 1a898274-7ca8-4b78-a63e-901e4f4cffe6 · outbound

This paper cites Densely connected convolutional networks,.

Rethinking Membership Inference Attacks Against Transfer Learning Densely connected convolutional networks,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:12:47.525104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.846957Z digest=sha256:4743eb8015aef338e611c9ef35ba6412d8aca22e6357d5c0cdc998508e35b180

Observation c4bc7d9e-6d0b-4575-9c1f-0861abccfaa6 · outbound

This paper cites Caiauth: context-aware implicit authentication when the screen is awake,.

Rethinking Membership Inference Attacks Against Transfer Learning Caiauth: context-aware implicit authentication when the screen is awake,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:12:47.513113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.849523Z digest=sha256:084651a04d78a0ea865b3b30e091828cd2d66daf8f127e1d19fa3fe485c9de56

Observation afa68b99-046b-4149-a1bb-524dc2b8d27f · outbound

This paper cites Enhanced mixup training: a defense method against membership inference attack,.

Rethinking Membership Inference Attacks Against Transfer Learning Enhanced mixup training: a defense method against membership inference attack,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:12:47.501854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.852520Z digest=sha256:85737efaca6ca8d69c6e3b639d40043342d43e189a7b5c8cab19c6c6d5ba1f22

Observation 48c199a1-4067-41a9-902a-6feb545c223c · outbound

This paper cites Practical membership inference attack against collaborative inference in industrial iot,.

Rethinking Membership Inference Attacks Against Transfer Learning Practical membership inference attack against collaborative inference in industrial iot,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:12:47.491270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.855638Z digest=sha256:ac07af37127b26209decedc761d7ed32c607fdd560cb52aaa480c5e4bbc9e62d

Observation cabc2080-91e1-4828-9613-e01231b3c48c · outbound

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

Rethinking Membership Inference Attacks Against Transfer Learning Privacy risk in machine learning: Analyzing the connection to overfitting,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:12:47.480206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.858480Z digest=sha256:21dd93a547ca009418bc4a6e617a8d55310d0efbc9d11dda486fe74b493ca7be

Observation 75e3f218-e112-4aee-9d83-9c86b5840362 · outbound

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

Rethinking Membership Inference Attacks Against Transfer Learning Systematic evaluation of privacy risks of machine learning models,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:12:47.469448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.861269Z digest=sha256:fdbe97a568907a321c47060ac12c1315c53b44a44f274a051db63b5c35d5752f

Observation 2115c6ab-7b00-4024-8358-25ccc1a6d3c0 · outbound

This paper cites A pragmatic approach to membership inferences on machine learning models,.

Rethinking Membership Inference Attacks Against Transfer Learning A pragmatic approach to membership inferences on machine learning models,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:12:47.458451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.864558Z digest=sha256:88bf7a101931c14fcfbd95dc310dabbc15b3e15cc109af57696daa7f2e5622ec

Observation e9d475cf-eaf5-4915-abdf-1c36923a1afd · outbound

This paper cites Practical blind membership inference attack via differential comparisons,.

Rethinking Membership Inference Attacks Against Transfer Learning Practical blind membership inference attack via differential comparisons,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:12:47.447288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.868004Z digest=sha256:94db85edf75a7edb86cce712410abb20ffc7d16d20bb2fd1bbb5534208b4f7ea

Observation 23d626a6-a16f-4ab7-98f1-13c944efb83d · outbound

This paper cites Membership leakage in label-only exposures,.

Rethinking Membership Inference Attacks Against Transfer Learning Membership leakage in label-only exposures,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:12:47.436646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.871342Z digest=sha256:0cb4c32b55578eb8ca7e13f86eba459982216a426c03de64b4c94c9d3dffb8bb

Observation 6f722fa3-03f6-4586-a5bb-a495f6c5f4bf · outbound

This paper cites Membership inference attacks by exploiting loss trajectory,.

Rethinking Membership Inference Attacks Against Transfer Learning Membership inference attacks by exploiting loss trajectory,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:12:47.426124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.875756Z digest=sha256:1bf370c17a38c30257e84867defaca6604ac90fa3a4b54028969253d27c9830c

Observation fdc8b882-1d1a-4fe1-9cc6-dabd197a865f · outbound

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

Rethinking Membership Inference Attacks Against Transfer Learning Comprehensive privacy analysis of deep learning: Passive and active white-box inference attacks against centralized and federated learning,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:12:47.416122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.879220Z digest=sha256:975b700e00845a1a70cd6c81c72e3edd45900e18e3b3d5ea23e5c81873ae7622

Observation 3271251f-b168-4158-9df1-9e3196be57e9 · outbound

This paper cites Revisiting mem- bership inference under realistic assumptions,.

Rethinking Membership Inference Attacks Against Transfer Learning Revisiting mem- bership inference under realistic assumptions,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:12:47.406005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.882423Z digest=sha256:4f522d55822ec1efe6c6ec5e4882557d57383f11d2bb9482ea235d494447f2b3

Observation 6cb46e6c-8df5-4de5-849d-32c03420cd26 · outbound

This paper cites Membership inference vulnera- bilities in peer-to-peer federated learning,.

Rethinking Membership Inference Attacks Against Transfer Learning Membership inference vulnera- bilities in peer-to-peer federated learning,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:12:47.395099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.886490Z digest=sha256:ffa4966dc61c988e10f597b3cc838b1a4a335a8321d1d8ae5939b4306666c727

Observation ddf8b89d-11da-49fb-8577-74e26d886457 · outbound

This paper cites Humpty dumpty: Controlling word meanings via corpus poisoning,.

Rethinking Membership Inference Attacks Against Transfer Learning Humpty dumpty: Controlling word meanings via corpus poisoning,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:12:47.384070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.890619Z digest=sha256:f82442b119022686ab140992f1f39a272b5984c3181174e77705630cfcac10e9

Observation 3357560c-05d2-495c-8151-8c63b8fc4a37 · outbound

This paper cites Latent backdoor attacks on deep neural networks,.

Rethinking Membership Inference Attacks Against Transfer Learning Latent backdoor attacks on deep neural networks,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:12:47.372065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.894340Z digest=sha256:7b25aa24cb8cba4d5e1d177f80c23d7125a96aa1574c365238e3a9ad6528e657

Observation 78905033-6dc0-4e31-9b7a-62a5fcc4b9f3 · outbound

This paper cites Membership privacy in microrna-based studies,.

Rethinking Membership Inference Attacks Against Transfer Learning Membership privacy in microrna-based studies,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:12:47.359774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.897998Z digest=sha256:2286d67a750f19964dbb0e3c9e0be28c4da20f6f9971e54e4c3c213c2ffc3e65

Observation 7eed8a83-f0a5-4cd8-90e6-c1671f2a9368 · outbound

This paper cites A survey on transfer learning,.

Rethinking Membership Inference Attacks Against Transfer Learning A survey on transfer learning,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:12:47.349166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.902048Z digest=sha256:7aa4c64ff39c5622a03923f3e507f62d3edd6a49b5b6892a50dd440f4b9b0324

Observation 8ade018e-9e75-493b-8421-f28afcdc3e74 · outbound

This paper cites Double-bootstrapping source data selection for instance-based transfer learning,.

Rethinking Membership Inference Attacks Against Transfer Learning Double-bootstrapping source data selection for instance-based transfer learning,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:12:47.339781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.905827Z digest=sha256:980254061d7f3348a974586bc728d6cf4d60523cf5c2388e1ba582d4d2040291

Observation 9385e554-d00e-4a1f-b60f-8b9832643900 · outbound

This paper cites Low-dimensional subject representation-based transfer learning in eeg decoding,.

Rethinking Membership Inference Attacks Against Transfer Learning Low-dimensional subject representation-based transfer learning in eeg decoding,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:12:47.328672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.909465Z digest=sha256:fcf11c311e1ffb95403e8fc83d7d1b589984d5df43253f116a1f3c4d2b7c6ecb

Observation 1f3f1f91-c9bf-4735-baca-8335d791fc6a · outbound

This paper cites Relational knowledge transfer for zero-shot learning,.

Rethinking Membership Inference Attacks Against Transfer Learning Relational knowledge transfer for zero-shot learning,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:12:47.317513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.912849Z digest=sha256:af87121c0cdeb51a10dd12fda7bae234c96214ab7ce5e0c3e6524d7232bf5814

Observation 3a19dc0f-d1e9-48b7-9e31-95108d914dab · outbound

This paper cites Manipulating transfer learning for property inference,.

Rethinking Membership Inference Attacks Against Transfer Learning Manipulating transfer learning for property inference,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:12:47.305747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.916232Z digest=sha256:189bd93114f3c0d9fe720edcd4213661afa59bdf8a42e60af5058564c8f842f3

Observation 4bcd1287-2fc5-4844-91f2-5eb105d3f308 · outbound

This paper cites Toward robust detection of puppet attacks via characterizing fingertip-touch behaviors,.

Rethinking Membership Inference Attacks Against Transfer Learning Toward robust detection of puppet attacks via characterizing fingertip-touch behaviors,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:12:47.295022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.919828Z digest=sha256:9e62a062b5952c39eedcbda8b7da4cc576bda9f17b3ee16daef1b68147295768

Observation ecb30f00-af8d-4413-b118-fe91a9e36af6 · outbound

This paper cites Rethinking Adversarial Attacks in Reinforcement Learning from Policy Distribution Perspective.

Rethinking Membership Inference Attacks Against Transfer Learning Rethinking Adversarial Attacks in Reinforcement Learning from Policy Distribution Perspective

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-10T18:12:46.923446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:12:46.923446Z digest=sha256:a5befee6ed6f6180a75f19967df9a9d4e628083de3adba8c9806bbeaca23165f

Observation 5bd7a96a-ed38-49c5-b31a-1b74153e5431 · outbound

This paper cites Vulseye: Detect Smart Contract Vulnerabilities via Stateful Directed Graybox Fuzzing.

Rethinking Membership Inference Attacks Against Transfer Learning Vulseye: Detect Smart Contract Vulnerabilities via Stateful Directed Graybox Fuzzing

Reference 73

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unresolved
no resolver link, observed 2026-08-10T18:12:46.926812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:12:46.926812Z digest=sha256:7a7647db5639dc62789132ed26c81514ecbe6d81e11368074e2bca9273904195

Observation 6584e706-d415-406c-b40d-fcbfa3f78232 · outbound

This paper cites Wafbooster: automatic boosting of waf security against mutated malicious payloads,.

Rethinking Membership Inference Attacks Against Transfer Learning Wafbooster: automatic boosting of waf security against mutated malicious payloads,

Reference 74

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verified fuzzy
raw_fallback, observed 2026-08-10T18:12:47.283610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.930196Z digest=sha256:b19c4194fbd168590f68111a2da65b67f8d62fe050055f28c22c024ad8d3470a

Observation e69f9938-202a-4771-a986-1f23b9be90a3 · outbound

This paper cites Ponziguard: Detecting ponzi schemes on ethereum with contract runtime behavior graph (crbg),.

Rethinking Membership Inference Attacks Against Transfer Learning Ponziguard: Detecting ponzi schemes on ethereum with contract runtime behavior graph (crbg),

Reference 75

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verified fuzzy
raw_fallback, observed 2026-08-10T18:12:47.271898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.933489Z digest=sha256:604a7fa7d9ec1de4fb1c41aef63740084c1ccddccffa7e285ba8e20f50e00289

Observation b34f6000-0874-41de-84d1-1129c281aadf · outbound

This paper cites Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities.

Rethinking Membership Inference Attacks Against Transfer Learning Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities

Reference 76

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no resolver link, observed 2026-08-10T18:12:46.937045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:12:46.937045Z digest=sha256:2cebaf46655deb4704e9af196785a222ca8e183961767fc37393648c1a13fb30

Observation d5119603-4590-4676-aaf6-3cdab989880d · outbound

This paper cites Semantic sleuth: Identifying ponzi contracts via large language models,.

Rethinking Membership Inference Attacks Against Transfer Learning Semantic sleuth: Identifying ponzi contracts via large language models,

Reference 77

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verified fuzzy
raw_fallback, observed 2026-08-10T18:12:47.261976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:12:46.939959Z digest=sha256:a7cdfb5e95f20fbdf037e0fb9440189b583f0fefc342752a62d8f30e6eff18b5

Observation 65a687b4-b1e8-45b3-9632-cd3bdf951ad8 · outbound

This paper cites SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models.

Rethinking Membership Inference Attacks Against Transfer Learning SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models

Reference 78

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no resolver link, observed 2026-08-10T18:12:46.943207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:12:46.943207Z digest=sha256:6626795d96ceba096fbb527a69553cf1f615afab7b744f7f28aec643d3ed0af0

Observation 3994fc9e-a681-481a-8048-043a05e27b5f · outbound

This paper cites Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models.

Rethinking Membership Inference Attacks Against Transfer Learning Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 79

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unresolved
no resolver link, observed 2026-08-10T18:12:46.946413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:12:46.946413Z digest=sha256:d61ad3f7fecf700f21999c5f42a0f06d330372b06d728153d79b05f0bd334ba7

Observation 37fe5141-d61c-48a9-a5a1-4314791f6182 · outbound

This paper cites On the effectiveness of distillation in mitigating backdoors in pre-trained encoder,.

Rethinking Membership Inference Attacks Against Transfer Learning On the effectiveness of distillation in mitigating backdoors in pre-trained encoder,

Reference 80

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no resolver link, observed 2026-08-10T18:12:46.950036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:12:46.950036Z digest=sha256:3ca22937acc1e5d38c38373d47b112841e08289a94c3a8fa958bb3359db44e62

Observation 097bee67-f105-42fd-bbd2-6de1b7eb5f11 · outbound

This paper cites AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks.

Rethinking Membership Inference Attacks Against Transfer Learning AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks

Reference 81

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unresolved
no resolver link, observed 2026-08-10T18:12:46.952918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:12:46.952918Z digest=sha256:e1cb96feaaa125e7230424e563702758486497f304572141d69e9eddfa573df5

Observation eae14b28-4185-4afc-bfa1-d9f6145dde34 · outbound

This paper cites Optimal resource allocation for u-shaped parallel split learning,.

Rethinking Membership Inference Attacks Against Transfer Learning Optimal resource allocation for u-shaped parallel split learning,

Reference 82

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unresolved
no resolver link, observed 2026-08-10T18:12:46.956150Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T18:12:46.956150Z digest=sha256:67b7f9b6cb1609f1f0d206066bace3b5a23a70a97f2dbfda2eeb0e4e379186fc

Observation fee7556f-5dc0-42c0-8a6a-7ec3423a01c8 · outbound

This paper cites LEO-Split: A Semi-Supervised Split Learning Framework over LEO Satellite Networks.

Rethinking Membership Inference Attacks Against Transfer Learning LEO-Split: A Semi-Supervised Split Learning Framework over LEO Satellite Networks

Reference 83

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:12:46.959080Z digest=sha256:c4489e5aed35dea559762adf729cb61e0bff8fc251023dcf4e7e2f10f9344c78

Observation 524a355b-0c06-4efa-b763-319b2e29f8f9 · outbound

This paper cites An efficient privacy-aware split learning framework for satellite communications,.

Rethinking Membership Inference Attacks Against Transfer Learning An efficient privacy-aware split learning framework for satellite communications,

Reference 84

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unresolved
no resolver link, observed 2026-08-10T18:12:46.962784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:12:46.962784Z digest=sha256:c73c19215c720d55d6f100dd9223ec1bdf945df1ac8118b2f70dd30205463969

Observation 0afcd1af-0113-4880-80b5-a380942dff09 · outbound

This paper cites Split learning in 6g edge networks,.

Rethinking Membership Inference Attacks Against Transfer Learning Split learning in 6g edge networks,

Reference 85

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source=pdf_text observed=2026-08-10T18:12:46.966354Z digest=sha256:90b858dc5d421bc90b23dcf1950092450bc102267cf478c073f4197e0cad70f4

Pith citing papers

No inbound Pith citation observations are available.