Rethinking Membership Inference Attacks Against Transfer Learning | Paper Citation Record

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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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

Resolution: verified exact; local_arxiv, observed 2026-08-10T18:12:47.219465Z

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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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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

Resolution: unresolved; no resolver link, observed 2026-08-10T18:12:46.704524Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:12:47.878634Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T18:12:46.711355Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:12:47.861866Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-10T18:12:46.719265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:12:47.852049Z

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.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:12:47.842348Z

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.

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

Resolution: unresolved; no resolver link, observed 2026-08-10T18:12:46.729303Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:12:47.831449Z

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

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:12:47.820929Z

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.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:12:47.810274Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:12:47.800386Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:12:47.789279Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:12:47.777765Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:12:47.767125Z

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.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:12:47.756858Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:12:47.746951Z

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.

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

Resolution: unresolved; no resolver link, observed 2026-08-10T18:12:46.765116Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:12:47.737248Z

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.

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

Resolution: unresolved; no resolver link, observed 2026-08-10T18:12:46.771953Z

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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

Resolution: verified fuzzy; 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 2026-08-11T06:34:44.6726+00:00.

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

Resolution: verified fuzzy; 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 2026-08-11T06:34:44.6726+00:00.

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

Resolution: verified exact; local_arxiv, observed 2026-08-10T18:12:47.151939Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:12:47.706722Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; 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 2026-08-11T06:34:44.6726+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:12:47.684624Z

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.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:12:47.674085Z

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.

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

Resolution: verified fuzzy; 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 2026-08-11T06:34:44.6726+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:12:47.654007Z

Source-reported events for the cited work

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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

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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

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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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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

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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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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

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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.

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.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: 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 2026-08-11T06:34:44.6726+00:00.

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

Resolution: 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 2026-08-11T06:34:44.6726+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: 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 2026-08-11T06:34:44.6726+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-10T18:12:46.959080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-10T18:12:46.966354Z

Source-reported events for the cited work

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