Membership Inference Attacks with False Discovery Rate Control | Paper Citation Record

Observation 1647fa2e-adf8-419b-8915-e66cf9d565e8 · outbound

This paper cites Deep learning with differential privacy.

Membership Inference Attacks with False Discovery Rate Control Deep learning with differential privacy

Reference 1

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Observation 56b04d81-d41a-44ac-a2e5-549d52da0683 · outbound

This paper cites Estimat- ing example difficulty using variance of gradients.

Membership Inference Attacks with False Discovery Rate Control Estimat- ing example difficulty using variance of gradients

Reference 2

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Observation 8dcf3fec-84de-446e-a767-dd80b322cf92 · outbound

This paper cites Memory aware synapses: Learning what (not) to forget.

Membership Inference Attacks with False Discovery Rate Control Memory aware synapses: Learning what (not) to forget

Reference 3

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Observation 676333bf-f1a3-4c78-85c8-96fe446506a6 · outbound

This paper cites A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification.

Membership Inference Attacks with False Discovery Rate Control A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification

Reference 4

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Observation ba8f56ed-6a51-411e-adfe-5569d5bbc554 · outbound

This paper cites Controlling the false discovery rate via knockoffs.

Membership Inference Attacks with False Discovery Rate Control Controlling the false discovery rate via knockoffs

Reference 5

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Observation 74b0c051-6dc1-4651-ac5d-6ea5a685a24a · outbound

This paper cites Practical ad- versarial multivalid conformal prediction.

Membership Inference Attacks with False Discovery Rate Control Practical ad- versarial multivalid conformal prediction

Reference 6

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Observation 27f6f63b-fae0-4ba7-b951-2a895fecd00e · outbound

This paper cites Testing for outliers with conformal p-values.

Membership Inference Attacks with False Discovery Rate Control Testing for outliers with conformal p-values

Reference 7

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Observation eba287a7-45d9-4248-8683-3c5cdf2d802e · outbound

This paper cites Discovering the false discovery rate.

Membership Inference Attacks with False Discovery Rate Control Discovering the false discovery rate

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:07.476065Z

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Observation 997ad05e-7701-4514-b57b-75a128b59dd2 · outbound

This paper cites Controlling the false discovery rate: a practical and powerful approach to multiple testing.

Membership Inference Attacks with False Discovery Rate Control Controlling the false discovery rate: a practical and powerful approach to multiple testing

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:07.461454Z

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Observation d7c838df-5dba-4bfe-9674-b94133d22854 · outbound

This paper cites Scalable member- ship inference attacks via quantile regression.

Membership Inference Attacks with False Discovery Rate Control Scalable member- ship inference attacks via quantile regression

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:07.447179Z

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Observation 5b32443d-9156-452d-98d9-91de619ef780 · outbound

This paper cites Machine unlearning.

Membership Inference Attacks with False Discovery Rate Control Machine unlearning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:07.433317Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 68e3fafa-8fc9-435b-bb7a-6ad9b238acfe · outbound

This paper cites Membership inference attacks from first principles.

Membership Inference Attacks with False Discovery Rate Control Membership inference attacks from first principles

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:07.418541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1f5e0413-d7b5-4ee8-b955-e1385475b69d · outbound

This paper cites Quan- tifying memorization across neural language models.

Membership Inference Attacks with False Discovery Rate Control Quan- tifying memorization across neural language models

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:07.403801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9847d438-f60f-45f0-98d1-1655c4f4ead3 · outbound

This paper cites Modeling and understanding un- certainty in medical image classification.

Membership Inference Attacks with False Discovery Rate Control Modeling and understanding un- certainty in medical image classification

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:07.389384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation aaecba27-29d3-4463-b2d1-e93a50bfd495 · outbound

This paper cites A survey of security and privacy issues of machine unlearning,.

Membership Inference Attacks with False Discovery Rate Control A survey of security and privacy issues of machine unlearning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:07.375319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9238d17c-7ff0-417e-9b62-b5d067d5f916 · outbound

This paper cites When machine unlearn- ing jeopardizes privacy.

Membership Inference Attacks with False Discovery Rate Control When machine unlearn- ing jeopardizes privacy

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:07.361191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3b55e0e7-c227-46e8-8cdf-9d6b8a3aea23 · outbound

This paper cites Boundary unlearning: Rapid forgetting of deep net- works via shifting the decision boundary.

Membership Inference Attacks with False Discovery Rate Control Boundary unlearning: Rapid forgetting of deep net- works via shifting the decision boundary

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:07.346145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation eaf5cd41-609f-42f2-b6b3-ba293d854458 · outbound

This paper cites Putting the object back into video object segmentation.

Membership Inference Attacks with False Discovery Rate Control Putting the object back into video object segmentation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:07.330930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 049eb5e0-528d-4f8a-8735-3d245d5a4f5a · outbound

This paper cites Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought.

Membership Inference Attacks with False Discovery Rate Control Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:28:06.518707Z

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Observation d9c42577-9936-4fa4-a153-f979c8331b30 · outbound

This paper cites Membership inference at- tack using self influence functions.

Membership Inference Attacks with False Discovery Rate Control Membership inference at- tack using self influence functions

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:07.316121Z

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Observation 85d606a4-c964-436d-8119-b0fbc4c4df80 · outbound

This paper cites Theory of probability: A critical introduc- tory treatment.

Membership Inference Attacks with False Discovery Rate Control Theory of probability: A critical introduc- tory treatment

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:07.301944Z

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Observation 92896cb0-f9ec-4a6f-9e83-8615afa18c4c · outbound

This paper cites Objaverse: A universe of annotated 3d objects.

Membership Inference Attacks with False Discovery Rate Control Objaverse: A universe of annotated 3d objects

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:07.287942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation df29e687-d576-4e2b-92c1-c493f9ff53d5 · outbound

This paper cites Leveraging adversarial examples to quantify membership information leakage.

Membership Inference Attacks with False Discovery Rate Control Leveraging adversarial examples to quantify membership information leakage

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:07.273045Z

Source-reported events for the cited work

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Observation e521eb02-72d0-4b0a-b84d-31541c6651a9 · outbound

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

Membership Inference Attacks with False Discovery Rate Control Imagenet: A large-scale hierarchical image database

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T22:28:05.973405Z

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Observation 8c812bf1-e327-4578-ac16-fffeab4e262d · outbound

This paper cites Eva: Exploring the limits of masked visual representa- tion learning at scale.

Membership Inference Attacks with False Discovery Rate Control Eva: Exploring the limits of masked visual representa- tion learning at scale

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:07.248210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1caf6c4f-2898-4f83-8cd3-196220382065 · outbound

This paper cites What neural networks memorize and why: Discovering the long tail via influence estimation.

Membership Inference Attacks with False Discovery Rate Control What neural networks memorize and why: Discovering the long tail via influence estimation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:07.231973Z

Source-reported events for the cited work

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Observation 88869dbd-faf1-4971-8d10-4c9c3641f271 · outbound

This paper cites Conditional calibration for false discovery rate control under dependence.

Membership Inference Attacks with False Discovery Rate Control Conditional calibration for false discovery rate control under dependence

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:07.215124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b251b007-825d-401d-a10b-9d32183322d0 · outbound

This paper cites Adaptive conformal in- ference under distribution shift.

Membership Inference Attacks with False Discovery Rate Control Adaptive conformal in- ference under distribution shift

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:07.199795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 00e73f4f-b707-4af4-b32f-bf722ddf3c94 · outbound

This paper cites Certified Data Removal from Machine Learning Models.

Membership Inference Attacks with False Discovery Rate Control Certified Data Removal from Machine Learning Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T22:28:05.998127Z

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Observation 7f4390ae-8de1-4e50-9de3-581d90c3e9d1 · outbound

This paper cites Mem- bership inference attacks on deep regression models for neu- roimaging.

Membership Inference Attacks with False Discovery Rate Control Mem- bership inference attacks on deep regression models for neu- roimaging

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:07.184662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5ffc0774-4631-4100-a029-f5f1d9795dd8 · outbound

This paper cites Remind your neural net- work to prevent catastrophic forgetting.

Membership Inference Attacks with False Discovery Rate Control Remind your neural net- work to prevent catastrophic forgetting

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:07.169881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 99420922-4f72-4f83-8ca9-7e9795fd8afd · outbound

This paper cites Deep residual learning for image recognition.

Membership Inference Attacks with False Discovery Rate Control Deep residual learning for image recognition

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:07.155108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fe5adf02-9938-4d28-bc7e-02244ada67b9 · outbound

This paper cites Deep residual learning for image recognition.

Membership Inference Attacks with False Discovery Rate Control Deep residual learning for image recognition

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T22:28:06.018606Z

Source-reported events for the cited work

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Observation 55543104-ee43-4585-8554-ae10951e30eb · outbound

This paper cites Semi-leak: Membership inference attacks against semi-supervised learning.

Membership Inference Attacks with False Discovery Rate Control Semi-leak: Membership inference attacks against semi-supervised learning

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:07.131984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a3468fc7-628a-40d1-b59b-e068dcf74989 · outbound

This paper cites Segmentations-leak: Membership inference attacks and de- fenses in semantic image segmentation.

Membership Inference Attacks with False Discovery Rate Control Segmentations-leak: Membership inference attacks and de- fenses in semantic image segmentation

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:07.117916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c0f42f5d-fa5f-4582-819b-56fefd40e3bf · outbound

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

Membership Inference Attacks with False Discovery Rate Control Resolving individuals contributing trace amounts of dna to highly complex mixtures using high-density snp genotyping microarrays

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:07.103473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b1aa4a6f-a443-446b-9f6e-b37b3559b929 · outbound

This paper cites Membership inference at- tacks on machine learning: A survey.

Membership Inference Attacks with False Discovery Rate Control Membership inference at- tacks on machine learning: A survey

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:07.089289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dbee8c9c-6ad4-48c8-a15f-ab85c4c18cac · outbound

This paper cites Subpopulation data poisoning attacks.

Membership Inference Attacks with False Discovery Rate Control Subpopulation data poisoning attacks

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:07.075802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 561824fc-2d07-4cf9-9033-25b3e408e3d8 · outbound

This paper cites False discovery rate con- trol via debiased lasso.

Membership Inference Attacks with False Discovery Rate Control False discovery rate con- trol via debiased lasso

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:07.061856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8bcc0db3-bc0d-4d31-a2d0-cbb506aca859 · outbound

This paper cites Segment any- thing.

Membership Inference Attacks with False Discovery Rate Control Segment any- thing

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:07.045305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 019ab476-9e9e-4cde-b822-584c6b73f987 · outbound

This paper cites Practical membership inference attacks against large- scale multi-modal models: A pilot study.

Membership Inference Attacks with False Discovery Rate Control Practical membership inference attacks against large- scale multi-modal models: A pilot study

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:07.031028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ca93c055-20fd-454b-b3f1-4dd1d4fbc146 · outbound

This paper cites Masked Autoencoders are Scalable Learners of Cellular Morphology.

Membership Inference Attacks with False Discovery Rate Control Masked Autoencoders are Scalable Learners of Cellular Morphology

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:28:06.479727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 233b886e-64c4-4128-92f5-0549b261e6fd · outbound

This paper cites Cifar-10 (canadian institute for advanced research).

Membership Inference Attacks with False Discovery Rate Control Cifar-10 (canadian institute for advanced research)

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:07.015528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1abc9b59-ae0a-46da-b15a-39dfb676ee6a · outbound

This paper cites Conformal Prediction with Large Language Models for Multi-Choice Question Answering.

Membership Inference Attacks with False Discovery Rate Control Conformal Prediction with Large Language Models for Multi-Choice Question Answering

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-05T22:28:06.069255Z

Source-reported events for the cited work

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Observation 37f01cc0-7575-49b4-82b1-3c688f0b8c5d · outbound

This paper cites Towards transferable targeted attack.

Membership Inference Attacks with False Discovery Rate Control Towards transferable targeted attack

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:06.999035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 43a894b4-6692-43ee-84e9-4319021eb240 · outbound

This paper cites Data poisoning attacks against con- formal prediction.

Membership Inference Attacks with False Discovery Rate Control Data poisoning attacks against con- formal prediction

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:06.984008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6d2229de-0150-4034-a164-17e49070f698 · outbound

This paper cites Integrative conformal p-values for powerful out-of-distribution testing with labeled outliers.

Membership Inference Attacks with False Discovery Rate Control Integrative conformal p-values for powerful out-of-distribution testing with labeled outliers

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-05T22:28:06.083480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74b516d4-5d79-44f0-8d57-8bfe75679d48 · outbound

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

Membership Inference Attacks with False Discovery Rate Control A pragmatic approach to membership inferences on machine learning models

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:06.969705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f995a6df-a778-4b65-9900-17e6addf3bae · outbound

This paper cites Global and simul- taneous hypothesis testing for high-dimensional logistic re- gression models.

Membership Inference Attacks with False Discovery Rate Control Global and simul- taneous hypothesis testing for high-dimensional logistic re- gression models

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:06.955349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cf48af1b-1f04-45d3-8896-4e997308420c · outbound

This paper cites Adaptive novelty detection with false discovery rate guarantee.

Membership Inference Attacks with False Discovery Rate Control Adaptive novelty detection with false discovery rate guarantee

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-05T22:28:06.097436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 376648bd-669f-439c-80e5-52ddbffca6c5 · outbound

This paper cites Membership inference attacks against diffusion models.

Membership Inference Attacks with False Discovery Rate Control Membership inference attacks against diffusion models

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:06.939427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c089334a-bacf-4b21-a3e5-0417865b4aa2 · outbound

This paper cites A survey on membership inference at- tacks and defenses in machine learning.

Membership Inference Attacks with False Discovery Rate Control A survey on membership inference at- tacks and defenses in machine learning

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:06.923496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 84ca7d0c-22aa-4103-a764-7300800352d6 · outbound

This paper cites Towards understanding and enhancing robustness of deep learning models against malicious unlearning attacks.

Membership Inference Attacks with False Discovery Rate Control Towards understanding and enhancing robustness of deep learning models against malicious unlearning attacks

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:06.907603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation edc85c43-7e5b-446c-bb68-ca6b210cf18d · outbound

This paper cites Towards modeling uncertainties of self-explaining neural networks via conformal prediction.

Membership Inference Attacks with False Discovery Rate Control Towards modeling uncertainties of self-explaining neural networks via conformal prediction

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:06.892506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3a64d5da-9db6-4427-af45-0683f76dacaa · outbound

This paper cites On the difficulty of member- ship inference attacks.

Membership Inference Attacks with False Discovery Rate Control On the difficulty of member- ship inference attacks

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:06.877863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c8532ef4-0d7b-41a7-8fe6-1b630250263c · outbound

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

Membership Inference Attacks with False Discovery Rate Control ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-05T22:28:06.125364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efb35d8b-812b-4bae-b3a6-d2bcb8793017 · outbound

This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks.

Membership Inference Attacks with False Discovery Rate Control Mobilenetv2: Inverted residuals and linear bottlenecks

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:06.862281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e6ff639c-b7b7-4878-b45f-6e37ef03129f · outbound

This paper cites Just how toxic is data poison- ing? a unified benchmark for backdoor and data poisoning attacks.

Membership Inference Attacks with False Discovery Rate Control Just how toxic is data poison- ing? a unified benchmark for backdoor and data poisoning attacks

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:06.847581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 400999e0-a362-4400-a82c-429877153c7d · outbound

This paper cites Member- ship inference attacks are easier on difficult problems.

Membership Inference Attacks with False Discovery Rate Control Member- ship inference attacks are easier on difficult problems

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:06.831871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f826a51c-cad2-45bc-8368-0497138433c2 · outbound

This paper cites Membership pri- vacy for machine learning models through knowledge trans- fer.

Membership Inference Attacks with False Discovery Rate Control Membership pri- vacy for machine learning models through knowledge trans- fer

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:06.816100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b8edd97d-7b4a-4ea0-8e25-457818ddc1b4 · outbound

This paper cites Membership inference attacks against machine learning models.

Membership Inference Attacks with False Discovery Rate Control Membership inference attacks against machine learning models

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:06.798682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 837bdce3-1d05-4473-ad88-d84958f5fc3f · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Membership Inference Attacks with False Discovery Rate Control Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-05T22:28:06.152577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb904e27-94ba-4a60-b7d0-284f5eea276b · outbound

This paper cites Systematic evaluation of pri- vacy risks of machine learning models.

Membership Inference Attacks with False Discovery Rate Control Systematic evaluation of pri- vacy risks of machine learning models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-05T22:28:06.157168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ceb65a8a-995e-41c6-bc31-41a50910bcd2 · outbound

This paper cites A taxonomy and terminology of adversarial machine learning.

Membership Inference Attacks with False Discovery Rate Control A taxonomy and terminology of adversarial machine learning

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:06.773414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c645b008-aedd-435d-a7db-1fb1db300ad6 · outbound

This paper cites Unrolling sgd: Understanding factors in- fluencing machine unlearning.

Membership Inference Attacks with False Discovery Rate Control Unrolling sgd: Understanding factors in- fluencing machine unlearning

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:06.758497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 86ee7c69-4952-413d-bdb7-5440510dc9e6 · outbound

This paper cites Conformal prediction under covariate shift.

Membership Inference Attacks with False Discovery Rate Control Conformal prediction under covariate shift

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:06.743913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 191ff526-5f5c-41c8-9ab6-0ba7ef902b84 · outbound

This paper cites Algorithmic learning in a random world.

Membership Inference Attacks with False Discovery Rate Control Algorithmic learning in a random world

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:06.727276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1cb10836-96ad-453a-8b5c-41083876e2f4 · outbound

This paper cites Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors.

Membership Inference Attacks with False Discovery Rate Control Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:06.710595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 42f069a1-d5f8-43ee-8251-c34724f61abf · outbound

This paper cites Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning.

Membership Inference Attacks with False Discovery Rate Control Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning

Reference 69

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:28:06.384367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1fc230cd-1464-4e5e-930f-0b0e2fd28d4a · outbound

This paper cites Transferable normalization: Towards im- proving transferability of deep neural networks.

Membership Inference Attacks with False Discovery Rate Control Transferable normalization: Towards im- proving transferability of deep neural networks

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:06.695409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 383a5728-9806-43a8-8b5b-64a8037df65f · outbound

This paper cites Continual learning with lifelong vision trans- former.

Membership Inference Attacks with False Discovery Rate Control Continual learning with lifelong vision trans- former

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:06.678590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 46cb6d27-b84a-4589-889c-99bfe735ecdb · outbound

This paper cites Machine Unlearning of Features and Labels.

Membership Inference Attacks with False Discovery Rate Control Machine Unlearning of Features and Labels

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-05T22:28:06.197869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd6dfb77-44ef-4e9a-8f0e-106c066968d4 · outbound

This paper cites On the Importance of Difficulty Calibration in Membership Inference Attacks.

Membership Inference Attacks with False Discovery Rate Control On the Importance of Difficulty Calibration in Membership Inference Attacks

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-05T22:28:06.202502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41d124ec-0a47-46fa-ac47-7a8a0117f14b · outbound

This paper cites Membership inference attacks against medical databases.

Membership Inference Attacks with False Discovery Rate Control Membership inference attacks against medical databases

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:06.663217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0a0a4222-c951-4d0c-95dd-de7f1f1345e6 · outbound

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

Membership Inference Attacks with False Discovery Rate Control Enhanced membership inference attacks against machine learning models

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:06.647994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 32840a9d-9a37-482e-9abc-671568e43904 · outbound

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

Membership Inference Attacks with False Discovery Rate Control Privacy risk in machine learning: Analyzing the connection to overfitting

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-05T22:28:06.216361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24f2f2cc-d2a7-4729-913b-232c0b18b4d3 · outbound

This paper cites Robust Yet Efficient Conformal Prediction Sets.

Membership Inference Attacks with False Discovery Rate Control Robust Yet Efficient Conformal Prediction Sets

Reference 77

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:28:06.333531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 673f4f04-707b-4b77-9841-bd393f9a8fc4 · outbound

This paper cites Low-Cost High-Power Membership Inference Attacks.

Membership Inference Attacks with False Discovery Rate Control Low-Cost High-Power Membership Inference Attacks

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-05T22:28:06.225473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5eb248f-2d97-41e2-bc6f-f34fd2fc17f5 · outbound

This paper cites Label-only membership inference attacks and defenses in semantic segmentation models.

Membership Inference Attacks with False Discovery Rate Control Label-only membership inference attacks and defenses in semantic segmentation models

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:06.622129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ffd8b2dd-801b-4174-96ef-77f242e9fd6b · outbound

This paper cites Membership inference attacks against recommender systems.

Membership Inference Attacks with False Discovery Rate Control Membership inference attacks against recommender systems

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:06.607406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4bb8f430-3827-48f4-a535-a69bc52f5ae8 · outbound

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

Membership Inference Attacks with False Discovery Rate Control Generated distributions are all you need for membership inference attacks against generative models

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:06.591885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c85f70f4-a362-4bab-9c91-77d6a0a5edc0 · outbound

This paper cites Order of Magnitude Speedups for LLM Membership Inference.

Membership Inference Attacks with False Discovery Rate Control Order of Magnitude Speedups for LLM Membership Inference

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-05T22:28:06.243263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc4c816c-ec68-4c24-af64-34174c5d173f · outbound

This paper cites Static and sequential malicious attacks in the context of selective forgetting.

Membership Inference Attacks with False Discovery Rate Control Static and sequential malicious attacks in the context of selective forgetting

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:06.576684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b364eb63-eb8b-49da-8bb4-62956acb4cc7 · outbound

This paper cites Blur interpolation transformer for real-world motion from blur.

Membership Inference Attacks with False Discovery Rate Control Blur interpolation transformer for real-world motion from blur

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:28:06.560969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 11e9111f-5d08-4b67-93a4-afcf4b7b6b07 · outbound

This paper cites Conditional prompt learning for vision-language mod- els.

Membership Inference Attacks with False Discovery Rate Control Conditional prompt learning for vision-language mod- els

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-05T22:28:06.257168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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