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Paper Citation Record · LEDGER

Membership Inference Attacks Against Vision-Language Models

As of 22 August 2026, this Paper Citation Record lists 87 of 87 outbound references and 5 inbound Pith citation observations for arXiv:2501.18624.

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

pith.paper-citation-record.v1
2501.18624 v2

Coverage vector

measured 87 of 87 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:01:11.124492Z

measured 92 of 92 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:50:01.646953Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-20T17:23:36.822895Z

Reference resolution

87 of 87 outbound references displayed

  • verified exact1
  • verified fuzzy46
  • unresolved40
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9ba343e0-09fd-426e-b18b-425485947602 · outbound

This paper cites Deep learning with differential privacy.

Membership Inference Attacks Against Vision-Language Models Deep learning with differential privacy

Reference 1

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Observation 2c1b6bdf-fbe8-4344-a447-7d461c00b2cd · outbound

This paper cites GPT-4 Technical Report.

Membership Inference Attacks Against Vision-Language Models GPT-4 Technical Report

Reference 2

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Observation 9cb518b4-70a0-4c49-90d3-5d3c153096fc · outbound

This paper cites Membership privacy in microrna-based studies.

Membership Inference Attacks Against Vision-Language Models Membership privacy in microrna-based studies

Reference 3

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Observation 28340459-d618-43cd-8dde-307a20521a0b · outbound

This paper cites walk2friends: Inferring social links from mobility profiles.

Membership Inference Attacks Against Vision-Language Models walk2friends: Inferring social links from mobility profiles

Reference 4

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Observation b8a2a974-61d8-4d1f-ade0-2f06bb4fa0b0 · outbound

This paper cites Machine un- learning.

Membership Inference Attacks Against Vision-Language Models Machine un- learning

Reference 5

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Source-reported events for the cited work

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Observation ff5bf445-5fb1-4866-91f5-ea361666a1ac · outbound

This paper cites Membership in- ference attacks from first principles.

Membership Inference Attacks Against Vision-Language Models Membership in- ference attacks from first principles

Reference 6

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Observation e967af74-18d5-4bc7-946a-2298728bbe47 · outbound

This paper cites Quantifying memorization across neural language mod- els.

Membership Inference Attacks Against Vision-Language Models Quantifying memorization across neural language mod- els

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation dd742361-0900-4dd7-bcfe-1e28ef06b879 · outbound

This paper cites Extracting training data from large language models.

Membership Inference Attacks Against Vision-Language Models Extracting training data from large language models

Reference 8

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Source-reported events for the cited work

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Observation f007f0d1-0263-4205-8066-48a150c61dd9 · outbound

This paper cites Conceptual 12m: Pushing web-scale image-text pre-training to recognize long-tail visual con- cepts.

Membership Inference Attacks Against Vision-Language Models Conceptual 12m: Pushing web-scale image-text pre-training to recognize long-tail visual con- cepts

Reference 9

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raw_fallback, observed 2026-08-10T14:01:12.309746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation facdb295-5020-4f35-833b-75373976011a · outbound

This paper cites Gan-leaks: A taxonomy of membership inference at- tacks against generative models.

Membership Inference Attacks Against Vision-Language Models Gan-leaks: A taxonomy of membership inference at- tacks against generative models

Reference 10

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raw_fallback, observed 2026-08-10T14:01:12.295245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 6f78918e-2355-4831-b144-1673c4f68471 · outbound

This paper cites ShareGPT4V: Improving Large Multi-Modal Models with Better Captions.

Membership Inference Attacks Against Vision-Language Models ShareGPT4V: Improving Large Multi-Modal Models with Better Captions

Reference 11

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Observation 6d54939c-82d4-483b-aea2-acfccf78928d · outbound

This paper cites Gonzalez, Ion Sto- ica, and Eric P.

Membership Inference Attacks Against Vision-Language Models Gonzalez, Ion Sto- ica, and Eric P

Reference 12

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raw_fallback, observed 2026-08-10T14:01:12.280941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e9979cbe-586c-442d-a995-b453b75c1fa6 · outbound

This paper cites Label-only membership inference attacks.

Membership Inference Attacks Against Vision-Language Models Label-only membership inference attacks

Reference 13

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Source-reported events for the cited work

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Observation 164ea9b5-8eaa-47eb-8468-c89341d8bf04 · outbound

This paper cites InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning.

Membership Inference Attacks Against Vision-Language Models InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9be96792-8ac3-4815-a8c9-8936b71ce144 · outbound

This paper cites Sok: Membership inference is harder than previously thought.

Membership Inference Attacks Against Vision-Language Models Sok: Membership inference is harder than previously thought

Reference 15

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raw_fallback, observed 2026-08-10T14:01:12.259027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T14:01:10.822640Z digest=sha256:61f4bb8533e214e406a10002e506e7a5e88a042e4e8e4bdffadf2ba7378b7ff5

Observation f86ced2f-d38e-486e-9452-3e104a478928 · outbound

This paper cites Are diffusion models vulnerable to mem- bership inference attacks? In International Conference on Machine Learning, pages 8717–8730.

Membership Inference Attacks Against Vision-Language Models Are diffusion models vulnerable to mem- bership inference attacks? In International Conference on Machine Learning, pages 8717–8730

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-10T14:01:12.246538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 6b53459b-c6c8-470c-befc-53e5ca51212b · outbound

This paper cites Do Membership Inference Attacks Work on Large Language Models?.

Membership Inference Attacks Against Vision-Language Models Do Membership Inference Attacks Work on Large Language Models?

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b28bbe37-5686-4162-86da-28734ffe8448 · outbound

This paper cites Calibrating noise to sensitivity in pri- vate data analysis.

Membership Inference Attacks Against Vision-Language Models Calibrating noise to sensitivity in pri- vate data analysis

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e14525ff-b053-4ae7-9564-7b3b61070d61 · outbound

This paper cites Dataset inference for self-supervised models.

Membership Inference Attacks Against Vision-Language Models Dataset inference for self-supervised models

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 52dcab4e-b011-44bb-9206-35e4157b0097 · outbound

This paper cites Privacy in pharmacogenetics: An {End-to-End} case study of per- sonalized warfarin dosing.

Membership Inference Attacks Against Vision-Language Models Privacy in pharmacogenetics: An {End-to-End} case study of per- sonalized warfarin dosing

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 37a6c616-a624-4fa8-bfc3-9cd880e577c2 · outbound

This paper cites An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks.

Membership Inference Attacks Against Vision-Language Models An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks

Reference 21

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Source-reported events for the cited work

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Observation 997e5fcf-4e2e-4232-abf8-c788c6f5145f · outbound

This paper cites Certified data removal from machine learning models.

Membership Inference Attacks Against Vision-Language Models Certified data removal from machine learning models

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 3497f1e6-73e0-4316-ad76-0695039078f2 · outbound

This paper cites SoK: Memorization in General-Purpose Large Language Models.

Membership Inference Attacks Against Vision-Language Models SoK: Memorization in General-Purpose Large Language Models

Reference 23

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source=pdf_text observed=2026-08-10T14:01:10.855939Z digest=sha256:4f226075b8394f401698d20605ead4831adefcc48c8cb04a88f72a3d8f6d6c7c

Observation 88a74b03-16fe-44ea-9af8-93e70775e2a6 · outbound

This paper cites Vision-Language Models for Medical Report Generation and Visual Question Answering: A Review.

Membership Inference Attacks Against Vision-Language Models Vision-Language Models for Medical Report Generation and Visual Question Answering: A Review

Reference 24

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source=pdf_text observed=2026-08-10T14:01:10.860277Z digest=sha256:cdb996097109790a5d6edebb15b92ee76f655b0df368c9d916ba8cb68e7804fb

Observation 746b354b-d092-4269-bf7d-77887fd794ee · outbound

This paper cites PeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical Imaging.

Membership Inference Attacks Against Vision-Language Models PeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical Imaging

Reference 25

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Source-reported events for the cited work

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Observation e8069cd5-64ff-4ef4-b1d1-71d3dd7f2c14 · outbound

This paper cites Stealing links from graph neu- ral networks.

Membership Inference Attacks Against Vision-Language Models Stealing links from graph neu- ral networks

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:01:12.182158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation bc137ea3-b0a9-4149-9a54-ef271f1e6c8c · outbound

This paper cites Twitter tells facial recognition trailblazer to stop using site’s photos.

Membership Inference Attacks Against Vision-Language Models Twitter tells facial recognition trailblazer to stop using site’s photos

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:01:12.169441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T14:01:10.873790Z digest=sha256:a61ca723ad84ebe5da881c236cee79eab81dd9cafa091640e4937dae7b7410a2

Observation 1cec6515-de4c-4f5f-8284-6e6308525e5f · outbound

This paper cites Monte carlo and reconstruction membership in- ference attacks against generative models.

Membership Inference Attacks Against Vision-Language Models Monte carlo and reconstruction membership in- ference attacks against generative models

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:01:12.156846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 0c25e501-c1ed-44ee-8132-c644e76a6898 · outbound

This paper cites Does clip know my face? Journal of Artificial Intelligence Research, 80:1033–1062, 2024.

Membership Inference Attacks Against Vision-Language Models Does clip know my face? Journal of Artificial Intelligence Research, 80:1033–1062, 2024

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:01:12.143675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 95e83044-d697-401e-9128-9938b6a1ea4e · outbound

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

Membership Inference Attacks Against Vision-Language Models Resolving individuals contributing trace amounts of dna to highly complex mixtures using high- density snp genotyping microarrays

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-10T14:01:12.129871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 30b2eb7b-e391-4487-ba40-848295d6126b · outbound

This paper cites Membership in- ference attacks against gans by leveraging over- representation regions.

Membership Inference Attacks Against Vision-Language Models Membership in- ference attacks against gans by leveraging over- representation regions

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:01:12.116265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T14:01:10.889982Z digest=sha256:b2f31fff7a0cbefcfd332a96a11b37c4d5b36b760ca84c5d749db5459726b529

Observation 77a27c9a-1053-4c22-a160-111353381a13 · outbound

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

Membership Inference Attacks Against Vision-Language Models Defenses to membership inference attacks: A survey

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:01:12.102589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 7b38799c-2c4e-4dfe-a730-a4791363d8b3 · outbound

This paper cites M4i: Multi-modal models membership in- ference.

Membership Inference Attacks Against Vision-Language Models M4i: Multi-modal models membership in- ference

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-10T14:01:12.088839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T14:01:10.897913Z digest=sha256:679212ac501d9ac99ff827c97f4c93c23b3e699a1a5b9543e2e563d301639827

Observation b90b26de-c78d-4296-be64-ee9026e3239e · outbound

This paper cites Quantify- ing and defending against privacy threats on federated knowledge graph embedding.

Membership Inference Attacks Against Vision-Language Models Quantify- ing and defending against privacy threats on federated knowledge graph embedding

Reference 34

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raw_fallback, observed 2026-08-10T14:01:12.074353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T14:01:10.902128Z digest=sha256:fa5e9acab6357471dad447d74f2fe46d946d2572a4378c661d7f22c37f1777b2

Observation d9797564-3eff-4370-a67d-7d6a922315fc · outbound

This paper cites Eraser: Machine unlearning in mlaas via an in- ference serving-aware approach.

Membership Inference Attacks Against Vision-Language Models Eraser: Machine unlearning in mlaas via an in- ference serving-aware approach

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:01:12.059357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T14:01:10.905966Z digest=sha256:9c0b25ae88016081580ac562099e1956c54c8b20a5a64f0c3c1e94523b44b5fc

Observation 6c3ad6c9-e3b6-48d1-9848-d5d00a0bb647 · outbound

This paper cites Are Large Pre-Trained Language Models Leaking Your Personal Information?.

Membership Inference Attacks Against Vision-Language Models Are Large Pre-Trained Language Models Leaking Your Personal Information?

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:01:10.910181Z digest=sha256:f4f4a697bcbb770aca48a3f4073e3fd7beacf40010cab3ea11cbdeb38bc0c1f2

Observation e93a7b4a-8d9e-4eda-91d4-5f2ccfb3288d · outbound

This paper cites Practical blind membership inference attack via differential com- parisons.

Membership Inference Attacks Against Vision-Language Models Practical blind membership inference attack via differential com- parisons

Reference 37

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raw_fallback, observed 2026-08-10T14:01:12.045764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T14:01:10.914337Z digest=sha256:78ef3310f786a794ca9cb7573c534496437c2950be2e62792fe811ec8f5a34d2

Observation 52de6a3b-768e-4755-ac8c-b58018f5fc5b · outbound

This paper cites D\'ej\`a Vu Memorization in Vision-Language Models.

Membership Inference Attacks Against Vision-Language Models D\'ej\`a Vu Memorization in Vision-Language Models

Reference 38

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source=pdf_text observed=2026-08-10T14:01:10.918343Z digest=sha256:8b23b7e030279b7acb6335b90455b02907e1cfa8ab5b4bcd2101631a339b7d5b

Observation 523d065e-ee50-4dd8-ab4c-957dfaf6a4b3 · outbound

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

Membership Inference Attacks Against Vision-Language Models Memguard: Defend- ing against black-box membership inference attacks via adversarial examples

Reference 39

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raw_fallback, observed 2026-08-10T14:01:12.032234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T14:01:10.922594Z digest=sha256:83a535d661dab4a1e0bfe28bf46d09deb4d7ad200953136d6332d24eb21e44e4

Observation ed0b0828-cf91-4a28-b119-1e71e27c2770 · outbound

This paper cites On the Effectiveness of Regularization Against Membership Inference Attacks.

Membership Inference Attacks Against Vision-Language Models On the Effectiveness of Regularization Against Membership Inference Attacks

Reference 40

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T14:01:10.926497Z digest=sha256:4e1fa29457548846647a1a503ea294e38ae6e4210e2354acfaebede18d1e6c59

Observation d7313605-2dfc-4abd-975c-75b05f9ae915 · outbound

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

Membership Inference Attacks Against Vision-Language Models Practical membership inference at- tacks against large-scale multi-modal models: A pilot study

Reference 41

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verified fuzzy
raw_fallback, observed 2026-08-10T14:01:12.017868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T14:01:10.930826Z digest=sha256:5a086926b23dcf7fe3b0e6fe28769ae4fcdf7fc83326c6517560e33a1170f25d

Observation 921a73c8-b7fc-4192-871a-e3121b9fe5e7 · outbound

This paper cites A generalization of fisher’s z test.

Membership Inference Attacks Against Vision-Language Models A generalization of fisher’s z test

Reference 42

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verified fuzzy
raw_fallback, observed 2026-08-10T14:01:12.004012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T14:01:10.935237Z digest=sha256:c0768c00ffae1b1b715d1ab9d006aefd9665e2080498ce8034c825333154125b

Observation 95589058-9393-4f41-9c9d-bb0ae781d224 · outbound

This paper cites LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day.

Membership Inference Attacks Against Vision-Language Models LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day

Reference 43

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no resolver link, observed 2026-08-10T14:01:10.939346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:01:10.939346Z digest=sha256:966222a1e47d70f67c8faac0a63a235de1496955700353f0a0725bfe62baa95a

Observation d40e5d75-a9c2-45d4-aa59-93ecff45ca74 · outbound

This paper cites Membership Inference Attacks and Defenses in Classification Models.

Membership Inference Attacks Against Vision-Language Models Membership Inference Attacks and Defenses in Classification Models

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-08-10T14:01:11.442172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T14:01:10.943650Z digest=sha256:6ca5f03ccedccf2901cada56ac6133d9d51aa91fbf56912653e1869bb509a5de

Observation cb76d461-8ffc-4d52-85a3-36e2d81fffed · outbound

This paper cites MoPe: Model Perturbation-based Privacy Attacks on Language Models.

Membership Inference Attacks Against Vision-Language Models MoPe: Model Perturbation-based Privacy Attacks on Language Models

Reference 45

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no resolver link, observed 2026-08-10T14:01:10.947909Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T14:01:10.947909Z digest=sha256:2e3f02bfe6f20795d1ed115bd7a1b188d4cf50affdd6c9d6eacf461c7384f629

Observation 1b88b178-379f-4f91-b997-5f7adec830f5 · outbound

This paper cites Membership leakage in label-only exposures.

Membership Inference Attacks Against Vision-Language Models Membership leakage in label-only exposures

Reference 46

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unresolved
no resolver link, observed 2026-08-10T14:01:10.952186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:01:10.952186Z digest=sha256:45a3358aa6b8238c96ff245169a80fd1487b9de7247ab9b639c97e10fbf110bf

Observation 05ea58e2-400e-409d-b323-a41fa360a799 · outbound

This paper cites VL-Trojan: Multimodal Instruction Backdoor Attacks against Autoregressive Visual Language Models.

Membership Inference Attacks Against Vision-Language Models VL-Trojan: Multimodal Instruction Backdoor Attacks against Autoregressive Visual Language Models

Reference 47

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no resolver link, observed 2026-08-10T14:01:10.956183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:01:10.956183Z digest=sha256:bc3c219c6eb77c78c005b794d69da2573b1c6f07d629c2d7b0e0b5b8ec48ae59

Observation 849395cd-b73f-4e87-b5b3-e9a6de09688a · outbound

This paper cites Rouge: A package for automatic eval- uation of summaries.

Membership Inference Attacks Against Vision-Language Models Rouge: A package for automatic eval- uation of summaries

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:01:11.980925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T14:01:10.960464Z digest=sha256:a79655371a4ea8f72814ddc1f4bd5541039e79452e377d7eccd3bf42a01556b0

Observation 0c400bd9-abd3-4583-a4c6-2efb68430a26 · outbound

This paper cites Microsoft coco: Common ob- jects in context.

Membership Inference Attacks Against Vision-Language Models Microsoft coco: Common ob- jects in context

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:01:11.966911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T14:01:10.964234Z digest=sha256:98287d8239b5730a066ce30854a7783de11cf1d46eed797e1a4a7d43b60ac037

Observation e1ec6545-1bdb-4e88-a048-5d3456d44147 · outbound

This paper cites Visual instruction tuning.

Membership Inference Attacks Against Vision-Language Models Visual instruction tuning

Reference 50

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no resolver link, observed 2026-08-10T14:01:10.968634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:01:10.968634Z digest=sha256:63bcb109423eb6d0eb0a058e9f9a115d0debfba3224e21282c77b542bf8204d8

Observation 2f095742-22a6-49d0-b2c6-fd27068df902 · outbound

This paper cites Encodermi: Membership inference against pre-trained encoders in contrastive learning.

Membership Inference Attacks Against Vision-Language Models Encodermi: Membership inference against pre-trained encoders in contrastive learning

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:01:11.944538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T14:01:10.972862Z digest=sha256:26d63606eec00af994a742365206ff0187dd34d5716418ddc60996bdd341f673

Observation e4a87d24-6f39-460b-a788-db0f1fd2be25 · outbound

This paper cites Arondight: Red teaming large vision language models with auto-generated multi- modal jailbreak prompts.

Membership Inference Attacks Against Vision-Language Models Arondight: Red teaming large vision language models with auto-generated multi- modal jailbreak prompts

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:01:11.930364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T14:01:10.977066Z digest=sha256:3a5d527f52449cefabc87698153e0a44925ee630086088973381cff948998e7c

Observation d8e8a10f-88db-4b63-af37-97ee59e09325 · outbound

This paper cites Evaluating LLM-based Personal Information Extraction and Countermeasures.

Membership Inference Attacks Against Vision-Language Models Evaluating LLM-based Personal Information Extraction and Countermeasures

Reference 53

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unresolved
no resolver link, observed 2026-08-10T14:01:10.981083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:01:10.981083Z digest=sha256:2be46edf2439ce21d9a7112d059fc3e5901e09a5fe71a4f1a6257a3890bfb363

Observation d1ad026e-c021-4e8f-a5c5-5c23720162f5 · outbound

This paper cites Towards Measuring Membership Privacy.

Membership Inference Attacks Against Vision-Language Models Towards Measuring Membership Privacy

Reference 54

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unresolved
no resolver link, observed 2026-08-10T14:01:10.985169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:01:10.985169Z digest=sha256:041ca2c45acb4eefc0757415a88633602115d19375f9e57bc104af1993cb0bc0

Observation 35e7d30d-656b-45fe-9480-e93c1f33d015 · outbound

This paper cites Understanding Membership Inferences on Well-Generalized Learning Models.

Membership Inference Attacks Against Vision-Language Models Understanding Membership Inferences on Well-Generalized Learning Models

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-10T14:01:10.989436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:01:10.989436Z digest=sha256:93072f4c0040a96a42a02882c197d24622e00328c86d1f1fffa888280158dc09

Observation 02e1627a-80e8-4083-bf4c-b4e92e9a1826 · outbound

This paper cites Ana- lyzing leakage of personally identifiable information in language models.

Membership Inference Attacks Against Vision-Language Models Ana- lyzing leakage of personally identifiable information in language models

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:01:11.916424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T14:01:10.993578Z digest=sha256:d5f17df9fb5655b70afd53edaf9b2c67cf32b03e1177c7bbd95f04671111c0cc

Observation 53982e15-ee1a-4d75-82ab-ef3e60cf10c3 · outbound

This paper cites Dataset inference: Ownership resolution in ma- chine learning.

Membership Inference Attacks Against Vision-Language Models Dataset inference: Ownership resolution in ma- chine learning

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:01:11.902191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T14:01:10.997563Z digest=sha256:1d0b13d601dd0273664412f8a784b6f8ef25e57c4b4da89a9d631afaebf73462

Observation 29833318-87e6-4bcd-8b55-0a8432e51a83 · outbound

This paper cites Membership inference attacks against language models via neighbourhood compari- son.

Membership Inference Attacks Against Vision-Language Models Membership inference attacks against language models via neighbourhood compari- son

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:01:11.888583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T14:01:11.001997Z digest=sha256:bc7e32155f97621973f040d1e5a966424eacd20cf15798caef01ed33168ef374

Observation 4ab94bec-28ff-43e3-a94e-b9b3db55f165 · outbound

This paper cites An empirical analysis of memorization in fine-tuned autore- gressive language models.

Membership Inference Attacks Against Vision-Language Models An empirical analysis of memorization in fine-tuned autore- gressive language models

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:01:11.873585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T14:01:11.006174Z digest=sha256:dc8642a804cb48b0a7e5e1ece2d90ba175955efc3ab11b5c56cc31b6f19cdb0c

Observation 9042a39d-d600-4b6d-abf2-717b5e0f6e52 · outbound

This paper cites Scalable Extraction of Training Data from (Production) Language Models.

Membership Inference Attacks Against Vision-Language Models Scalable Extraction of Training Data from (Production) Language Models

Reference 60

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no resolver link, observed 2026-08-10T14:01:11.010347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:01:11.010347Z digest=sha256:d1a6f4f7e5f9fa067bec3bebbdeff058aadb5da64fda36da13ea9786d23e074b

Observation ab5e8c62-1a8b-49c9-83b1-8495b626e674 · outbound

This paper cites Open ai embedding api.

Membership Inference Attacks Against Vision-Language Models Open ai embedding api

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:01:11.860197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T14:01:11.014735Z digest=sha256:1aa36dbe137b50b7e2d9ab5fd65f7a8374ee65b6d871f310900f5b6efb0b0b69

Observation dd6b0ef9-21d9-486e-83e5-2f68df244980 · outbound

This paper cites Im2text: Describing images using 1 million cap- tioned photographs.

Membership Inference Attacks Against Vision-Language Models Im2text: Describing images using 1 million cap- tioned photographs

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:01:11.846689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T14:01:11.018801Z digest=sha256:658eafe818147f6debdc2312dad66ed4e9188c79c97260c13fb9aa6ac643c371

Observation bc0e7fd1-bae8-47f2-a51c-f36f49ce72a7 · outbound

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

Membership Inference Attacks Against Vision-Language Models Knock knock, who’s there? membership inference on aggregate location data

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:01:11.833127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T14:01:11.022874Z digest=sha256:6c9cc970772dc3da285043ed852d0c0fb85eba3b15717e4f473c289b6f5fd4b6

Observation 1c449078-a3f4-438b-ac24-feebd0a72226 · outbound

This paper cites Measuring membership privacy on ag- gregate location time-series.

Membership Inference Attacks Against Vision-Language Models Measuring membership privacy on ag- gregate location time-series

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:01:11.819384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T14:01:11.026927Z digest=sha256:17de897ea544de3819b54e344ca92e7134fa7fe860fd4f20ca38aa2893b21335

Observation 42c9ca42-a57c-4f18-b061-1867e9b84844 · outbound

This paper cites Visual adversarial examples jailbreak aligned large language models.

Membership Inference Attacks Against Vision-Language Models Visual adversarial examples jailbreak aligned large language models

Reference 65

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unresolved
no resolver link, observed 2026-08-10T14:01:11.031201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:01:11.031201Z digest=sha256:fce9a860ecadc88ef4bf2976a057ba5322e8932a8c33eb3d932cff2e143e75ae

Observation cd0ea2ec-6735-41de-8883-4dd652ee39f2 · outbound

This paper cites Learning transferable visual models from natural lan- guage supervision.

Membership Inference Attacks Against Vision-Language Models Learning transferable visual models from natural lan- guage supervision

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-10T14:01:11.035776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:01:11.035776Z digest=sha256:225609d939118a1a7391160f1b1e13eec340d45f8a310cc164a5a4ac29d28f46

Observation 3a0f8110-a9f9-4586-8771-56a5ae84f2fc · outbound

This paper cites Ml- leaks: Model and data independent membership infer- ence attacks and defenses on machine learning mod- els.

Membership Inference Attacks Against Vision-Language Models Ml- leaks: Model and data independent membership infer- ence attacks and defenses on machine learning mod- els

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:01:11.787243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T14:01:11.040020Z digest=sha256:2f8cc38cd49b65f43a3b437df6f759714ccf8ea40b8476e58226b5a62ee8cafe

Observation f491cee3-acc0-4b8f-a7f7-c8aae7ec0b77 · outbound

This paper cites LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs.

Membership Inference Attacks Against Vision-Language Models LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-10T14:01:11.044190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:01:11.044190Z digest=sha256:3405b6b2c7a374b72aac9fe5a5eab6e8bb2fced43969df2488fd3857aa0eb5fc

Observation 005d0641-89fa-4e6e-8469-16d575723033 · outbound

This paper cites Detecting pretraining data from large language models.

Membership Inference Attacks Against Vision-Language Models Detecting pretraining data from large language models

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-10T14:01:11.048868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:01:11.048868Z digest=sha256:2dcd4b1c3150b2bf3ee27050eabd77c082adca02cecbdda20f7be3f3ca046fca

Observation 830850a9-690e-4e0a-8b8c-6df54d5a2414 · outbound

This paper cites Membership inference attacks against machine learning models.

Membership Inference Attacks Against Vision-Language Models Membership inference attacks against machine learning models

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-10T14:01:11.052984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:01:11.052984Z digest=sha256:8114ced812c00048fd6920e3b5b6087c3d7cba70618c27fe77f9daa04f557922

Observation 07f4124c-7805-4c3b-8c49-c463fa9a6871 · outbound

This paper cites Mpnet: Masked and permuted pre-training for lan- guage understanding.

Membership Inference Attacks Against Vision-Language Models Mpnet: Masked and permuted pre-training for lan- guage understanding

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:01:11.755386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T14:01:11.057150Z digest=sha256:db51850dcff4976e86634d29f497fc265fed19046db9640dd66ba3f3dd291c4d

Observation 660b10bb-3c3f-4ca1-9f8c-cac44a76f904 · outbound

This paper cites Dropout: a simple way to prevent neural networks from overfitting.

Membership Inference Attacks Against Vision-Language Models Dropout: a simple way to prevent neural networks from overfitting

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:01:11.740779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T14:01:11.061258Z digest=sha256:ea6d0917e4be69ae1585c60f973752365cd909e34fa3abed583db60a4bcac87d

Observation 23098299-e94f-49f2-9de4-091fb54db9d4 · outbound

This paper cites Safeguarding Vision-Language Models Against Patched Visual Prompt Injectors.

Membership Inference Attacks Against Vision-Language Models Safeguarding Vision-Language Models Against Patched Visual Prompt Injectors

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-10T14:01:11.065106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:01:11.065106Z digest=sha256:3e47b177fcaa8ac39f75bd1be41712dfeaf61c861888d0abc43386b1a18acdd8

Observation 7213d567-4355-47ae-b617-7b955c243cb9 · outbound

This paper cites Imgtrojan: Jailbreaking vision-language mod- els with one image.

Membership Inference Attacks Against Vision-Language Models Imgtrojan: Jailbreaking vision-language mod- els with one image

Reference 74

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 746d8217-6750-4ea0-acda-11c2cc653b55 · outbound

This paper cites Demonstration of an adversarial attack against a multimodal vision language model for pathol- ogy imaging.

Membership Inference Attacks Against Vision-Language Models Demonstration of an adversarial attack against a multimodal vision language model for pathol- ogy imaging

Reference 75

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 2f0a80c6-f6ef-442d-9f52-7d7a6da7c594 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Membership Inference Attacks Against Vision-Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 76

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Observation 32ca5979-6f6b-4136-bd27-4ad232325602 · outbound

This paper cites Effects of differential privacy and data skewness on membership inference vulnerabil- ity.

Membership Inference Attacks Against Vision-Language Models Effects of differential privacy and data skewness on membership inference vulnerabil- ity

Reference 77

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verified fuzzy
raw_fallback, observed 2026-08-10T14:01:11.711933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T14:01:11.082292Z digest=sha256:253cdcb8c6c698ad3d236fd468964d8476a501a470fc3ae5e8acb97a4c5396aa

Observation 34688fc2-5f11-4ec7-9861-09185af59f13 · outbound

This paper cites Towards Demystifying Membership Inference Attacks.

Membership Inference Attacks Against Vision-Language Models Towards Demystifying Membership Inference Attacks

Reference 78

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no resolver link, observed 2026-08-10T14:01:11.086487Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T14:01:11.086487Z digest=sha256:a4ea6ead9db57365db76e141adac1926cb699bd228fc0f6eaee1ba29434cd689

Observation 6414a779-83a7-43a3-8190-eddb39d20883 · outbound

This paper cites Show and tell: A neural image caption generator.

Membership Inference Attacks Against Vision-Language Models Show and tell: A neural image caption generator

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:01:11.697885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 552eab35-d5bf-4d44-9fa3-3c97d50748a0 · outbound

This paper cites CogVLM: Visual Expert for Pretrained Language Models.

Membership Inference Attacks Against Vision-Language Models CogVLM: Visual Expert for Pretrained Language Models

Reference 80

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no resolver link, observed 2026-08-10T14:01:11.094765Z

Source-reported events for the cited work

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Observation 587a1136-f867-4fe1-acde-83d2e38326db · outbound

This paper cites A Comprehensive Survey of Large Language Models and Multimodal Large Language Models in Medicine.

Membership Inference Attacks Against Vision-Language Models A Comprehensive Survey of Large Language Models and Multimodal Large Language Models in Medicine

Reference 81

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Observation 0353bd72-6696-47bc-ab24-c88c0723a63b · outbound

This paper cites Shadowcast: Stealthy data poisoning attacks against vision-language models.

Membership Inference Attacks Against Vision-Language Models Shadowcast: Stealthy data poisoning attacks against vision-language models

Reference 82

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verified fuzzy
raw_fallback, observed 2026-08-10T14:01:11.684422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T14:01:11.103790Z digest=sha256:a7865f850b4beca8bee2e2ba28c641706ad8cd0a02bb6010b40db350ee6f246d

Observation 88524d74-84ad-4023-afd9-a0ec558421ff · outbound

This paper cites En- hanced membership inference attacks against ma- chine learning models.

Membership Inference Attacks Against Vision-Language Models En- hanced membership inference attacks against ma- chine learning models

Reference 83

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verified fuzzy
raw_fallback, observed 2026-08-10T14:01:11.670335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ce013d91-76cd-466e-a091-bee4c63ef185 · outbound

This paper cites Privacy risk in machine learning: An- alyzing the connection to overfitting.

Membership Inference Attacks Against Vision-Language Models Privacy risk in machine learning: An- alyzing the connection to overfitting

Reference 84

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no resolver link, observed 2026-08-10T14:01:11.112040Z

Source-reported events for the cited work

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Observation df28dfb4-3d2e-484a-8b6b-ae2da1d1668a · outbound

This paper cites Vlattack: Multimodal adversarial attacks on vision-language tasks via pre-trained models.

Membership Inference Attacks Against Vision-Language Models Vlattack: Multimodal adversarial attacks on vision-language tasks via pre-trained models

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:01:11.647129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T14:01:11.116258Z digest=sha256:2249a6eef2859146bbd61082fc144e27bea36db68fc2b85e4beb825e5c07c8db

Observation f648d797-9870-4b70-a2ae-6669cbaf6001 · outbound

This paper cites Uni- versal adversarial perturbations for vision-language pre-trained models.

Membership Inference Attacks Against Vision-Language Models Uni- versal adversarial perturbations for vision-language pre-trained models

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:01:11.632940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T14:01:11.120387Z digest=sha256:195a66591b18c19ac66e599f02f968a567d265beac8fe3e2303105453a58e1d1

Observation bc5f8ca1-f790-4c71-a40d-fb5e6e74f81e · outbound

This paper cites Minigpt-4: Enhancing vision- language understanding with advanced large language models.

Membership Inference Attacks Against Vision-Language Models Minigpt-4: Enhancing vision- language understanding with advanced large language models

Reference 87

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verified fuzzy
raw_fallback, observed 2026-08-10T14:01:11.619327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T14:01:11.124492Z digest=sha256:ca7400ffbe807579c33d86ea67dc33d45f9dc31f725a97679292bac06be7660e

Pith citing papers

Observation d7f5e69c-d339-41f5-b5cc-32a5d117b1c6 · inbound

Vid-SME: Membership Inference Attacks against Large Video Understanding Models cites this paper.

Vid-SME: Membership Inference Attacks against Large Video Understanding Models Membership Inference Attacks Against Vision-Language Models

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2d33092b-5102-4e71-8f90-9b78061fb2d9 · inbound

Understanding the Supply Chain and Risks of Large Language Model Applications cites this paper.

Understanding the Supply Chain and Risks of Large Language Model Applications Membership Inference Attacks Against Vision-Language Models

Reference 9

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unresolved
no resolver link, observed 2026-08-06T14:45:42.867566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:42.867566Z digest=sha256:c3a8204419ad184650e3eaef1143872d528db7d9faf0458ff3862012ae62af9e

Observation 199027f0-268f-4efb-9035-71832e3f0da0 · inbound

DCMI: A Differential Calibration Membership Inference Attack Against Retrieval-Augmented Generation cites this paper.

DCMI: A Differential Calibration Membership Inference Attack Against Retrieval-Augmented Generation Membership Inference Attacks Against Vision-Language Models

Reference 18

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unresolved
no resolver link, observed 2026-08-05T04:42:13.710665Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T04:42:13.710665Z digest=sha256:d76c7ee334685368ef05aba125f953886c2bdc0cb012aa4cd709857ff9448822

Observation f678bc68-315d-4cdd-9458-32148491c934 · inbound

DP-FedLoRA: Privacy-Enhanced Federated Fine-Tuning for On-Device Large Language Models cites this paper.

DP-FedLoRA: Privacy-Enhanced Federated Fine-Tuning for On-Device Large Language Models Membership Inference Attacks Against Vision-Language Models

Reference 30

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no resolver link, observed 2026-08-04T19:48:48.756244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:48:48.756244Z digest=sha256:8af3d740e1e55ef0ea20d003878d3385009a6a0df27847947acfb2c127c083b3

Observation 0d694a12-e798-4d5c-a81c-4a709c61a0e0 · inbound

A Cross-Modal Prompt Injection Attack against Large Vision-Language Models with Image-Only Perturbation cites this paper.

A Cross-Modal Prompt Injection Attack against Large Vision-Language Models with Image-Only Perturbation Membership Inference Attacks Against Vision-Language Models

Reference 17

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verified exact
arxiv_id, observed 2026-05-20T17:23:36.824798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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