Paper Citation Record · LEDGER

With Great Backbones Comes Great Adversarial Transferability

As of 11 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 2 inbound Pith citation observations for arXiv:2501.12275.

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

pith.paper-citation-record.v1
2501.12275 v1

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:24:21.710938Z

measured 70 of 70 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T23:34:14.173157Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T19:12:50.711022Z

Reference resolution

68 of 68 outbound references displayed

verified exact4
verified fuzzy21
unresolved41
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c6e53b82-0759-45da-9d1e-966b775e6c40 · outbound

This paper cites write newline.

With Great Backbones Comes Great Adversarial Transferability write newline

Reference 1

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Source-reported events for the cited work

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Observation e9beda73-51a4-4ca8-b7f3-d2a5d38a0168 · outbound

This paper cites write newline.

With Great Backbones Comes Great Adversarial Transferability write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T17:24:21.459210Z

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Observation d37ea6be-5df6-4457-9c81-887c49e79c9e · outbound

This paper cites Xcit: Cross-covariance image transformers.

With Great Backbones Comes Great Adversarial Transferability Xcit: Cross-covariance image transformers

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:24:23.291315Z

Source-reported events for the cited work

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Observation ec1a74fa-21a8-4d51-9c08-cac19a5df6b8 · outbound

This paper cites Square attack: A query-efficient black-box adversarial attack via random search.

With Great Backbones Comes Great Adversarial Transferability Square attack: A query-efficient black-box adversarial attack via random search

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T17:24:21.468048Z

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Observation fd901f05-5191-47fc-9d71-3c40c2d50250 · outbound

This paper cites SiT: Self-supervised vIsion Transformer.

With Great Backbones Comes Great Adversarial Transferability SiT: Self-supervised vIsion Transformer

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T17:24:21.471935Z

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Observation 57897ee0-9073-479c-9b9f-554d4a1f74f3 · outbound

This paper cites Are we done with ImageNet?.

With Great Backbones Comes Great Adversarial Transferability Are we done with ImageNet?

Reference 6

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Source-reported events for the cited work

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Observation ed1ce24f-e299-4775-a20e-adf313a90f28 · outbound

This paper cites N., He, W., Li, B., and Song, D.

With Great Backbones Comes Great Adversarial Transferability N., He, W., Li, B., and Song, D

Reference 7

Resolution: verified exact; doi, observed 2026-08-10T17:24:21.802430Z

Source-reported events for the cited work

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Observation 7addbcee-d4be-4289-9b63-23088f1c0322 · outbound

This paper cites A Survey of Black-Box Adversarial Attacks on Computer Vision Models.

With Great Backbones Comes Great Adversarial Transferability A Survey of Black-Box Adversarial Attacks on Computer Vision Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T17:24:21.484439Z

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Observation 8e6fa522-ce78-47ee-a6b0-0bf23de32cad · outbound

This paper cites Decision-based adversarial attacks: Reliable attacks against black-box machine learning models.

With Great Backbones Comes Great Adversarial Transferability Decision-based adversarial attacks: Reliable attacks against black-box machine learning models

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:24:23.278345Z

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Observation 1ab4ef36-583e-411f-9202-bc6078132633 · outbound

This paper cites Efficient adaptive ensembling for image classification.

With Great Backbones Comes Great Adversarial Transferability Efficient adaptive ensembling for image classification

Reference 10

Resolution: verified exact; raw_fallback, observed 2026-08-10T17:24:22.878137Z

Source-reported events for the cited work

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Observation c182b5a7-6ff8-494e-a5c5-97796a2a2fb8 · outbound

This paper cites Membership inference attacks from first principles.

With Great Backbones Comes Great Adversarial Transferability Membership inference attacks from first principles

Reference 12

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Observation ff7fdbae-260a-4003-a231-bacef1b9121c · outbound

This paper cites Deep clustering for unsupervised learning of visual features.

With Great Backbones Comes Great Adversarial Transferability Deep clustering for unsupervised learning of visual features

Reference 13

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Observation da3e519e-bffa-429f-a43e-f9feda86757a · outbound

This paper cites Unsupervised learning of visual features by contrasting cluster assignments.

With Great Backbones Comes Great Adversarial Transferability Unsupervised learning of visual features by contrasting cluster assignments

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:24:23.265034Z

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Observation 429975e4-cc88-4dc3-8f2f-ad7cc46142a3 · outbound

This paper cites Emerging properties in self-supervised vision transformers.

With Great Backbones Comes Great Adversarial Transferability Emerging properties in self-supervised vision transformers

Reference 15

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Observation e1df9f33-742f-4945-bcff-aff8b5ca83dc · outbound

This paper cites ZOO: zeroth order optimization based black-box attacks to deep neural networks without training substitute models.

With Great Backbones Comes Great Adversarial Transferability ZOO: zeroth order optimization based black-box attacks to deep neural networks without training substitute models

Reference 16

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Observation 71955b0a-690d-41dd-abae-4963f9f93ed3 · outbound

This paper cites an unresolved cited work.

With Great Backbones Comes Great Adversarial Transferability Unresolved cited work

Reference 17

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Observation 26539956-0870-4023-8b0c-ea54a5791f8d · outbound

This paper cites an unresolved cited work.

With Great Backbones Comes Great Adversarial Transferability Unresolved cited work

Reference 18

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Observation 79c1ef65-81b2-48af-be1d-667376e69336 · outbound

This paper cites Boosting decision-based black-box adversarial attacks with random sign flip.

With Great Backbones Comes Great Adversarial Transferability Boosting decision-based black-box adversarial attacks with random sign flip

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T17:24:21.529718Z

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Observation 5e2369d5-3aaf-4334-a4fb-5cf6e062edbf · outbound

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

With Great Backbones Comes Great Adversarial Transferability Imagenet: A large-scale hierarchical image database

Reference 20

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Observation 0b0ba88b-a6c8-4680-a68a-95f584207d9a · outbound

This paper cites Boosting adversarial attacks with momentum.

With Great Backbones Comes Great Adversarial Transferability Boosting adversarial attacks with momentum

Reference 21

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Observation 3889fcb1-6fb9-40e1-a08a-92d636bfc3c1 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

With Great Backbones Comes Great Adversarial Transferability An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T17:24:21.541229Z

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Observation 949d025c-c5ed-442a-a177-3dbd1f60d9a7 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

With Great Backbones Comes Great Adversarial Transferability An image is worth 16x16 words: Transformers for image recognition at scale

Reference 23

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Source-reported events for the cited work

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Observation a3cc243c-954f-4674-a339-ac4725efa650 · outbound

This paper cites Backbones-Review: Feature Extraction Networks for Deep Learning and Deep Reinforcement Learning Approaches.

With Great Backbones Comes Great Adversarial Transferability Backbones-Review: Feature Extraction Networks for Deep Learning and Deep Reinforcement Learning Approaches

Reference 24

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Observation e63872a4-69d8-405c-80b0-3b5d047fecd5 · outbound

This paper cites Sharpness-Aware Minimization for Efficiently Improving Generalization.

With Great Backbones Comes Great Adversarial Transferability Sharpness-Aware Minimization for Efficiently Improving Generalization

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T17:24:21.552173Z

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Observation d464fa0a-5279-4b79-b5f5-94a3afd8855a · outbound

This paper cites Unsupervised representation learning by predicting image rotations.

With Great Backbones Comes Great Adversarial Transferability Unsupervised representation learning by predicting image rotations

Reference 26

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Observation 26182f44-c3c7-47bf-891d-90992710c58b · outbound

This paper cites G., and Goldstein, T.

With Great Backbones Comes Great Adversarial Transferability G., and Goldstein, T

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:24:23.197457Z

Source-reported events for the cited work

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Observation a880b347-4ced-40e4-841c-038c0f86cc11 · outbound

This paper cites Battle of the backbones: A large-scale comparison of pretrained models across computer vision tasks.

With Great Backbones Comes Great Adversarial Transferability Battle of the backbones: A large-scale comparison of pretrained models across computer vision tasks

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:24:23.184974Z

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Observation b91254eb-4a38-4404-8769-8ce884a1b2df · outbound

This paper cites Generative Adversarial Networks.

With Great Backbones Comes Great Adversarial Transferability Generative Adversarial Networks

Reference 29

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Observation bf2d6db2-a808-4fe4-b743-6341aa3cc7f4 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

With Great Backbones Comes Great Adversarial Transferability Explaining and Harnessing Adversarial Examples

Reference 30

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This paper cites Self-supervised Pretraining of Visual Features in the Wild.

With Great Backbones Comes Great Adversarial Transferability Self-supervised Pretraining of Visual Features in the Wild

Reference 31

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With Great Backbones Comes Great Adversarial Transferability Unresolved cited work

Reference 32

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Observation d929c7cc-1770-49cc-ad5d-cc1ac2dad7a1 · outbound

This paper cites A survey on vision transformer.

With Great Backbones Comes Great Adversarial Transferability A survey on vision transformer

Reference 33

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Observation cea8b1f7-96c8-4523-94d8-2b6b10a61b10 · outbound

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With Great Backbones Comes Great Adversarial Transferability Deep residual learning for image recognition

Reference 34

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Observation 595d2db7-5ea9-40bb-83e0-afa426bb9214 · outbound

This paper cites Black-box adversarial attacks with limited queries and information.

With Great Backbones Comes Great Adversarial Transferability Black-box adversarial attacks with limited queries and information

Reference 35

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Observation 60544e0b-3332-4341-a678-4cbdba46e805 · outbound

This paper cites and Tian, Y.

With Great Backbones Comes Great Adversarial Transferability and Tian, Y

Reference 36

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This paper cites and Tian, Y.

With Great Backbones Comes Great Adversarial Transferability and Tian, Y

Reference 37

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Observation c95b47b0-7138-43a0-b0cd-86e4b8bba808 · outbound

This paper cites Who's Afraid of Adversarial Transferability?.

With Great Backbones Comes Great Adversarial Transferability Who's Afraid of Adversarial Transferability?

Reference 38

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Observation 3fc6d4cc-1b9a-4682-994c-f367362dbed5 · outbound

This paper cites Big transfer (bit): General visual representation learning.

With Great Backbones Comes Great Adversarial Transferability Big transfer (bit): General visual representation learning

Reference 39

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Observation ea94eccc-60df-4db8-86a4-e4ca083a7064 · outbound

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

With Great Backbones Comes Great Adversarial Transferability Learning multiple layers of features from tiny images

Reference 40

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With Great Backbones Comes Great Adversarial Transferability Unresolved cited work

Reference 41

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This paper cites J., and Bengio, S.

With Great Backbones Comes Great Adversarial Transferability J., and Bengio, S

Reference 42

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Observation a2985f2c-055c-4e78-9780-88fbdc8a0423 · outbound

This paper cites NATTACK: learning the distributions of adversarial examples for an improved black-box attack on deep neural networks.

With Great Backbones Comes Great Adversarial Transferability NATTACK: learning the distributions of adversarial examples for an improved black-box attack on deep neural networks

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:24:23.073945Z

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Observation 00485618-781f-48af-8104-f480568964e3 · outbound

This paper cites A., M \" u ller, R., and Bertinetto, L.

With Great Backbones Comes Great Adversarial Transferability A., M \" u ller, R., and Bertinetto, L

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:24:23.062739Z

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Observation 10f2ad50-4aa0-4966-8d86-4085c066a919 · outbound

This paper cites Towards deep learning models resistant to adversarial attacks.

With Great Backbones Comes Great Adversarial Transferability Towards deep learning models resistant to adversarial attacks

Reference 45

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Source-reported events for the cited work

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Observation 12cb910f-4fce-402f-8fe1-89d652044c43 · outbound

This paper cites L., Pardo, J., Pardo, L., and Pardo, M.

With Great Backbones Comes Great Adversarial Transferability L., Pardo, J., Pardo, L., and Pardo, M

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:24:23.036587Z

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With Great Backbones Comes Great Adversarial Transferability and van der Maaten, L

Reference 47

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With Great Backbones Comes Great Adversarial Transferability Unresolved cited work

Reference 48

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Observation ba926c3a-fe53-4bd8-99d0-46694e1de80f · outbound

This paper cites Deepfool: A simple and accurate method to fool deep neural networks.

With Great Backbones Comes Great Adversarial Transferability Deepfool: A simple and accurate method to fool deep neural networks

Reference 49

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This paper cites Simple Black-Box Adversarial Perturbations for Deep Networks.

With Great Backbones Comes Great Adversarial Transferability Simple Black-Box Adversarial Perturbations for Deep Networks

Reference 50

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With Great Backbones Comes Great Adversarial Transferability S., and Porikli, F

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:24:23.006557Z

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This paper cites and Deng, J.

With Great Backbones Comes Great Adversarial Transferability and Deng, J

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:24:22.993666Z

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Observation a1ee2367-0820-4641-9e01-d62646c60ab4 · outbound

This paper cites and Zisserman, A.

With Great Backbones Comes Great Adversarial Transferability and Zisserman, A

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:24:22.980949Z

Source-reported events for the cited work

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Observation 5350b706-b5de-4d4f-8e43-a7c8243d0857 · outbound

This paper cites and Favaro, P.

With Great Backbones Comes Great Adversarial Transferability and Favaro, P

Reference 54

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This paper cites D., Goodfellow, I.

With Great Backbones Comes Great Adversarial Transferability D., Goodfellow, I

Reference 55

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With Great Backbones Comes Great Adversarial Transferability M., Vedaldi, A., Zisserman, A., and Jawahar, C

Reference 56

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This paper cites S., and Manikandan, V.

With Great Backbones Comes Great Adversarial Transferability S., and Manikandan, V

Reference 57

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Observation e0f6322e-5dd4-483b-9a94-8059b13fc2b8 · outbound

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With Great Backbones Comes Great Adversarial Transferability Unresolved cited work

Reference 58

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With Great Backbones Comes Great Adversarial Transferability Training meta-surrogate model for transferable adversarial attack

Reference 59

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Observation 26d8dbaa-bc95-483a-ae74-e9ccba6b0f33 · outbound

This paper cites Analysis of variance (anova).

With Great Backbones Comes Great Adversarial Transferability Analysis of variance (anova)

Reference 60

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Observation 8c48bca7-6bf5-4642-a731-15a9570a06e2 · outbound

This paper cites Intriguing properties of neural networks.

With Great Backbones Comes Great Adversarial Transferability Intriguing properties of neural networks

Reference 61

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Observation 78124b96-1730-4aab-a69d-746c007bc289 · outbound

This paper cites A., Friedland, G., Elizalde, B., Ni, K., Poland, D., Borth, D., and Li, L.

With Great Backbones Comes Great Adversarial Transferability A., Friedland, G., Elizalde, B., Ni, K., Poland, D., Borth, D., and Li, L

Reference 62

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Observation c6942f6f-ee7b-47ed-8e4b-2df556862eac · outbound

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With Great Backbones Comes Great Adversarial Transferability Training data-efficient image transformers & distillation through attention

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:24:22.937419Z

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Observation 570bb95b-80f8-4ae3-9e4d-245804cd5ca0 · outbound

This paper cites H., and Echizen, I.

With Great Backbones Comes Great Adversarial Transferability H., and Echizen, I

Reference 64

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Observation 8d6da9ba-0f12-4a8d-8d00-e48f8bf48a24 · outbound

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With Great Backbones Comes Great Adversarial Transferability X., and Lin, D

Reference 65

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Observation 89d13b4e-f072-44a9-86f4-4a14f6139d67 · outbound

This paper cites CoCa: Contrastive Captioners are Image-Text Foundation Models.

With Great Backbones Comes Great Adversarial Transferability CoCa: Contrastive Captioners are Image-Text Foundation Models

Reference 66

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Observation 80b7f876-d683-4e0a-8e92-651eecf359d3 · outbound

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With Great Backbones Comes Great Adversarial Transferability Unresolved cited work

Reference 67

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Observation 33b3a93d-e6c6-4767-8c11-02c566662fe4 · outbound

This paper cites Toward understanding and boosting adversarial transferability from a distribution perspective.

With Great Backbones Comes Great Adversarial Transferability Toward understanding and boosting adversarial transferability from a distribution perspective

Reference 68

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Observation 7857f793-a142-4672-8678-2c898cbda89c · outbound

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With Great Backbones Comes Great Adversarial Transferability and Asano, Y

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:24:22.924731Z

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Pith citing papers

Observation 74800adf-3436-442f-927b-0c1b08d36420 · inbound

Backbone is All You Need: Assessing Vulnerabilities of Frozen Foundation Models in Synthetic Image Forensics cites this paper.

Backbone is All You Need: Assessing Vulnerabilities of Frozen Foundation Models in Synthetic Image Forensics With Great Backbones Comes Great Adversarial Transferability

Reference 3

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Observation 4bf1bf2c-30ce-4030-8d39-f3b5a83479ba · inbound

Large Language Models as Unified Multimodal Learners for Clinical Prediction cites this paper.

Large Language Models as Unified Multimodal Learners for Clinical Prediction With Great Backbones Comes Great Adversarial Transferability

Reference 64

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