ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers | Paper Citation Record

Observation 3897efc5-47bf-421c-8851-753048e94689 · outbound

This paper cites An adaptive model ensemble adversarial attack for boosting adversarial transferability.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers An adaptive model ensemble adversarial attack for boosting adversarial transferability

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:27:46.074662Z

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Observation 7f245155-22d0-408a-ad58-d85426bae3b2 · outbound

This paper cites Visformer: The vision-friendly transformer.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Visformer: The vision-friendly transformer

Reference 2

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Observation e9571995-e3e9-4437-97ac-53a0a890eda2 · outbound

This paper cites Boosting adversarial at- tacks with momentum.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Boosting adversarial at- tacks with momentum

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:27:46.051454Z

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Observation b83cb56a-16d3-4758-adad-de6e01ddb661 · outbound

This paper cites Evading defenses to transferable adversarial examples by translation-invariant attacks.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Evading defenses to transferable adversarial examples by translation-invariant attacks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:27:46.037718Z

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Observation 70417bee-98db-45a0-beac-0fa55ea5afaa · outbound

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

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T17:27:45.327056Z

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Observation 9a7aaf27-883d-421d-8282-472f43ba923b · outbound

This paper cites Convit: Improv- ing vision transformers with soft convolutional inductive bi- ases.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Convit: Improv- ing vision transformers with soft convolutional inductive bi- ases

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:27:46.025373Z

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Observation 817e9c58-fbdc-45d7-a008-7a8bf9125ebe · outbound

This paper cites Fda: Feature disruptive attack.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Fda: Feature disruptive attack

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:27:46.013148Z

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Observation 058b639f-c246-4186-a20c-3fd1be0f45c8 · outbound

This paper cites Boosting Adversarial Transferability by Achieving Flat Local Maxima.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Boosting Adversarial Transferability by Achieving Flat Local Maxima

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:27:46.000591Z

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Observation 14af46bd-075f-4f61-b153-a7d7901a1d26 · outbound

This paper cites Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:27:45.988814Z

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Observation 06b8dafe-c974-4c19-b8a0-57e84aa7a352 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Explaining and Harnessing Adversarial Examples

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T17:27:45.349866Z

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Observation 00b41356-e820-4778-9f9d-d8826d63eeb1 · outbound

This paper cites Levit: a vision transformer in convnet’s clothing for faster inference.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Levit: a vision transformer in convnet’s clothing for faster inference

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T17:27:45.353843Z

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Observation 79845059-adb8-41ab-a2c9-e9316a869730 · outbound

This paper cites Countering Adversarial Images using Input Transformations.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Countering Adversarial Images using Input Transformations

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T17:27:45.359191Z

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Observation 97e90a96-1e3f-46c5-bfd8-f59ff1921840 · outbound

This paper cites Transformer in transformer.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Transformer in transformer

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T17:27:45.363808Z

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Observation 933c09ba-44af-461a-b1c2-a8dc670157fa · outbound

This paper cites Deep residual learning for image recognition.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Deep residual learning for image recognition

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T17:27:45.368022Z

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Observation da5fe8c1-93a0-4150-81dd-5629c527fc42 · outbound

This paper cites Rethinking spa- tial dimensions of vision transformers.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Rethinking spa- tial dimensions of vision transformers

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T17:27:45.372387Z

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Observation 9e219378-9c51-4d99-b868-a426830f2fd6 · outbound

This paper cites Accelerating stochastic gradi- ent descent using predictive variance reduction.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Accelerating stochastic gradi- ent descent using predictive variance reduction

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:27:45.947920Z

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Observation dd0a7cfa-db26-44c0-aaf3-6f2fdc171bdd · outbound

This paper cites Ad- versarial examples in the physical world.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Ad- versarial examples in the physical world

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:27:45.936173Z

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Observation 7c5f8666-5162-41cb-87c0-9b6c7c90938a · outbound

This paper cites Improving adversarial transferability via intermediate-level perturbation decay.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Improving adversarial transferability via intermediate-level perturbation decay

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:27:45.924149Z

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Observation ddd01164-d654-42ac-9eb8-0b64bb5734ce · outbound

This paper cites Learning transferable adversarial examples via ghost networks.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Learning transferable adversarial examples via ghost networks

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:27:45.912925Z

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Observation 5ea6cfdc-adde-4da6-941d-57b6e6e27ead · outbound

This paper cites Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T17:27:45.393420Z

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Observation b9f0c49d-fe81-4f59-b784-099cad795279 · outbound

This paper cites Boosting adversarial transferability across model genus by deformation-constrained warping.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Boosting adversarial transferability across model genus by deformation-constrained warping

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:27:45.901708Z

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Observation 7b2908b4-c7f8-47f3-aab6-b3fc29e737fa · outbound

This paper cites Delving into Transferable Adversarial Examples and Black-box Attacks.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Delving into Transferable Adversarial Examples and Black-box Attacks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T17:27:45.401485Z

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Observation 780d69a4-a7a0-43d6-b9e5-ab1188eeb5fa · outbound

This paper cites Discrete Representations Strengthen Vision Transformer Robustness.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Discrete Representations Strengthen Vision Transformer Robustness

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T17:27:45.407046Z

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Observation 93563e55-90a1-4465-90ae-961585aac8b7 · outbound

This paper cites Enhance the visual representation via discrete adversarial training.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Enhance the visual representation via discrete adversarial training

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:27:45.889505Z

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Observation 5cbb16d5-3f99-48e0-bddb-7f82df192a6d · outbound

This paper cites Towards robust vision transformer.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Towards robust vision transformer

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:27:45.877292Z

Source-reported events for the cited work

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Observation 4ada3316-bc99-49b8-87d2-7e4cb36d23f0 · outbound

This paper cites Separable Self-attention for Mobile Vision Transformers.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Separable Self-attention for Mobile Vision Transformers

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T17:27:45.421210Z

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Observation 02dbb314-1478-431f-b3dc-d45f3cb8843e · outbound

This paper cites When adversarial training meets vision trans- formers: Recipes from training to architecture.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers When adversarial training meets vision trans- formers: Recipes from training to architecture

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T17:27:45.425324Z

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Observation 5e6299ba-da2a-4130-8dda-574fc3833911 · outbound

This paper cites A self-supervised approach for adversarial robustness.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers A self-supervised approach for adversarial robustness

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:27:45.857547Z

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Observation 7d782a44-eae0-4f96-90c6-c60bf8a32528 · outbound

This paper cites Imagenet large scale visual recognition challenge.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Imagenet large scale visual recognition challenge

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T17:27:45.433583Z

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Observation f78a665b-3502-4622-b887-5346778fe884 · outbound

This paper cites Rethinking the inception archi- tecture for computer vision.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Rethinking the inception archi- tecture for computer vision

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T17:27:45.437314Z

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Observation ab1ce8e5-7ead-46e8-9106-b2ec17aeac24 · outbound

This paper cites Inception-v4, inception-resnet and the im- pact of residual connections on learning.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Inception-v4, inception-resnet and the im- pact of residual connections on learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:27:45.826964Z

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Observation 9639caf7-afdc-496d-8e93-425725816246 · outbound

This paper cites Ensemble diversity facilitates adversarial transferability.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Ensemble diversity facilitates adversarial transferability

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:27:45.815273Z

Source-reported events for the cited work

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Observation a201b439-79cb-4e5a-a4fe-65c08ca2b565 · outbound

This paper cites Training data-efficient image transformers & distillation through at- tention.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Training data-efficient image transformers & distillation through at- tention

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:27:45.803187Z

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Observation 87b010ca-0917-416d-bd1b-be956e588ceb · outbound

This paper cites Going deeper with im- age transformers.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Going deeper with im- age transformers

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:27:45.790512Z

Source-reported events for the cited work

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Observation 2b271089-51e3-4de4-9bd5-ceac577526e6 · outbound

This paper cites Ensemble Adversarial Training: Attacks and Defenses.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Ensemble Adversarial Training: Attacks and Defenses

Reference 35

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Observation 15fe691c-ade9-4efc-bb7a-b8f5239dbc92 · outbound

This paper cites Boosting adversarial transferability by block shuffle and rotation.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Boosting adversarial transferability by block shuffle and rotation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:27:45.778048Z

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Observation 19f9158e-c763-4a28-aa1b-b43bac9cc365 · outbound

This paper cites Enhancing the Transferability of Adversarial Attacks through Variance Tuning.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Enhancing the Transferability of Adversarial Attacks through Variance Tuning

Reference 37

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Observation 7d338e21-ef86-4c8c-bffc-99836136a56c · outbound

This paper cites Boosting Adversarial Transferability through En- hanced Momentum.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Boosting Adversarial Transferability through En- hanced Momentum

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:27:45.753231Z

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 8f5623e5-4637-4e7c-818e-344980e81fde · outbound

This paper cites Struc- ture Invariant Transformation for better Adversarial Trans- ferability.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Struc- ture Invariant Transformation for better Adversarial Trans- ferability

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:27:45.739540Z

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Observation db30418b-4cb7-4624-8840-74a2d0728584 · outbound

This paper cites Better diffusion models further improve adversarial training.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Better diffusion models further improve adversarial training

Reference 40

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Source-reported events for the cited work

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Observation df95cbb4-0d8f-45ce-b939-f69557fc85b3 · outbound

This paper cites Towards transferable adversarial attacks on vision transformers.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Towards transferable adversarial attacks on vision transformers

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:27:45.717166Z

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Observation 46b9dca7-cd41-47af-840e-25cff4c81839 · outbound

This paper cites Rethinking the backward propagation for adversarial transferability.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Rethinking the backward propagation for adversarial transferability

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:27:45.703752Z

Source-reported events for the cited work

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Observation f4b9468e-b7e6-4c5b-a03c-028c66fe9741 · outbound

This paper cites Mitigating Adversarial Effects Through Randomization.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Mitigating Adversarial Effects Through Randomization

Reference 43

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Source-reported events for the cited work

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Observation b65ef6c6-abdb-494d-830f-3fdfbe8ed7da · outbound

This paper cites Improving transferabil- ity of adversarial examples with input diversity.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Improving transferabil- ity of adversarial examples with input diversity

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:27:45.691330Z

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 ed46cfac-6fbf-4bb8-91c7-ddd24d1032e8 · outbound

This paper cites Stochastic variance reduced ensemble adver- sarial attack for boosting the adversarial transferability.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Stochastic variance reduced ensemble adver- sarial attack for boosting the adversarial transferability

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:27:45.679097Z

Source-reported events for the cited work

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Observation b54d554e-a1ce-4390-84c7-74d5b6eee41e · outbound

This paper cites Improving adversarial transferability via neuron attribution-based at- tacks.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Improving adversarial transferability via neuron attribution-based at- tacks

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:27:45.666339Z

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 e50207d3-17fe-47fe-9034-4d43e99c3a9a · outbound

This paper cites an unresolved cited work.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-15T17:27:45.651708Z

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 a8d67555-5bec-41ae-9d42-579dbef413be · outbound

This paper cites Bag of Tricks to Boost Adversarial Transfer- ability.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Bag of Tricks to Boost Adversarial Transfer- ability

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:27:45.639200Z

Source-reported events for the cited work

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