Enhancing Adversarial Transferability through Block Stretch and Shrink | Paper Citation Record

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Enhancing Adversarial Transferability through Block Stretch and Shrink Unresolved cited work

Reference 1

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This paper cites Girshick, and Ali Farhadi.

Enhancing Adversarial Transferability through Block Stretch and Shrink Girshick, and Ali Farhadi

Reference 2

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This paper cites Fully convolutional networks for semantic segmentation.

Enhancing Adversarial Transferability through Block Stretch and Shrink Fully convolutional networks for semantic segmentation

Reference 3

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This paper cites Adversarial examples in the physical world.

Enhancing Adversarial Transferability through Block Stretch and Shrink Adversarial examples in the physical world

Reference 4

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This paper cites Explaining and Harnessing Adversarial Examples.

Enhancing Adversarial Transferability through Block Stretch and Shrink Explaining and Harnessing Adversarial Examples

Reference 5

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This paper cites Finding physical adversarial examples for autonomous driving with fast and differentiable image compositing.

Enhancing Adversarial Transferability through Block Stretch and Shrink Finding physical adversarial examples for autonomous driving with fast and differentiable image compositing

Reference 6

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This paper cites Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems.

Enhancing Adversarial Transferability through Block Stretch and Shrink Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems

Reference 7

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Enhancing Adversarial Transferability through Block Stretch and Shrink Unresolved cited work

Reference 8

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This paper cites Boosting Adversarial Attacks with Momentum.

Enhancing Adversarial Transferability through Block Stretch and Shrink Boosting Adversarial Attacks with Momentum

Reference 9

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Enhancing Adversarial Transferability through Block Stretch and Shrink Unresolved cited work

Reference 10

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Observation ecbce7c3-25a5-4d73-8360-a863738461c8 · outbound

This paper cites Berkay Celik, and Ananthram Swami.

Enhancing Adversarial Transferability through Block Stretch and Shrink Berkay Celik, and Ananthram Swami

Reference 11

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This paper cites DI-AA: An Interpretable White-box Attack for Fooling Deep Neural Networks.

Enhancing Adversarial Transferability through Block Stretch and Shrink DI-AA: An Interpretable White-box Attack for Fooling Deep Neural Networks

Reference 12

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

Enhancing Adversarial Transferability through Block Stretch and Shrink Delving into Transferable Adversarial Examples and Black-box Attacks

Reference 14

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This paper cites Goodfellow, Somesh Jha, Z.

Enhancing Adversarial Transferability through Block Stretch and Shrink Goodfellow, Somesh Jha, Z

Reference 15

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Observation aebd3ebf-f91b-4edd-b6c7-753b747e96c3 · outbound

This paper cites Transferattack https://github.com/trustworthy-ai-group/transferattack, 2023.

Enhancing Adversarial Transferability through Block Stretch and Shrink Transferattack https://github.com/trustworthy-ai-group/transferattack, 2023

Reference 16

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This paper cites an unresolved cited work.

Enhancing Adversarial Transferability through Block Stretch and Shrink Unresolved cited work

Reference 17

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This paper cites Pixel2Feature attack (P2FA): Rethinking the perturbed space to enhance adversarial transferability.

Enhancing Adversarial Transferability through Block Stretch and Shrink Pixel2Feature attack (P2FA): Rethinking the perturbed space to enhance adversarial transferability

Reference 18

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This paper cites Harnessing the computation redundancy in vits to boost adversarial transferability.

Enhancing Adversarial Transferability through Block Stretch and Shrink Harnessing the computation redundancy in vits to boost adversarial transferability

Reference 19

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This paper cites Ensemble diversity facilitates adversarial transferability.

Enhancing Adversarial Transferability through Block Stretch and Shrink Ensemble diversity facilitates adversarial transferability

Reference 20

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This paper cites Diffusion models for imperceptible and transferable adversarial attack.IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(2):961–977, 2025.

Enhancing Adversarial Transferability through Block Stretch and Shrink Diffusion models for imperceptible and transferable adversarial attack.IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(2):961–977, 2025

Reference 21

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This paper cites Boosting adversarial transferability through augmentation in hypothesis space.

Enhancing Adversarial Transferability through Block Stretch and Shrink Boosting adversarial transferability through augmentation in hypothesis space

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This paper cites Boosting adversarial transferability by block shuffle and rotation.2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 24336–24346, 2023.

Enhancing Adversarial Transferability through Block Stretch and Shrink Boosting adversarial transferability by block shuffle and rotation.2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 24336–24346, 2023

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

Enhancing Adversarial Transferability through Block Stretch and Shrink Boosting adversarial transferability across model genus by deformation-constrained warping

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This paper cites Intriguing properties of neural networks.

Enhancing Adversarial Transferability through Block Stretch and Shrink Intriguing properties of neural networks

Reference 25

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This paper cites Hopcroft.

Enhancing Adversarial Transferability through Block Stretch and Shrink Hopcroft

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This paper cites Improving transferability of adversarial examples with input diversity.2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 2725–2734, 2018.

Enhancing Adversarial Transferability through Block Stretch and Shrink Improving transferability of adversarial examples with input diversity.2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 2725–2734, 2018

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Enhancing Adversarial Transferability through Block Stretch and Shrink Unresolved cited work

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This paper cites Admix: Enhancing the transferability of adversarial attacks.

Enhancing Adversarial Transferability through Block Stretch and Shrink Admix: Enhancing the transferability of adversarial attacks

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This paper cites Adaptive Image Transformations for Transfer-based Adversarial Attack.

Enhancing Adversarial Transferability through Block Stretch and Shrink Adaptive Image Transformations for Transfer-based Adversarial Attack

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This paper cites Structure invariant transformation for better adversarial transferability.2023 IEEE/CVF International Conference on Computer Vision (ICCV), pages 4584–4596, 2023.

Enhancing Adversarial Transferability through Block Stretch and Shrink Structure invariant transformation for better adversarial transferability.2023 IEEE/CVF International Conference on Computer Vision (ICCV), pages 4584–4596, 2023

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Observation 1135893b-a884-42d7-80a6-8e879c0aa1e3 · outbound

This paper cites Learning to transform dynamically for better adversarial transferability.2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 24273–24283, 2024.

Enhancing Adversarial Transferability through Block Stretch and Shrink Learning to transform dynamically for better adversarial transferability.2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 24273–24283, 2024

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This paper cites Ensemble Adversarial Training: Attacks and Defenses.

Enhancing Adversarial Transferability through Block Stretch and Shrink Ensemble Adversarial Training: Attacks and Defenses

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This paper cites Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks.

Enhancing Adversarial Transferability through Block Stretch and Shrink Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks

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This paper cites Defense against adversarial attacks using high-level representation guided denoiser.2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 1778–1787, 2017.

Enhancing Adversarial Transferability through Block Stretch and Shrink Defense against adversarial attacks using high-level representation guided denoiser.2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 1778–1787, 2017

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This paper cites Certified Adversarial Robustness via Randomized Smoothing.

Enhancing Adversarial Transferability through Block Stretch and Shrink Certified Adversarial Robustness via Randomized Smoothing

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This paper cites Fast is better than free: Revisiting adversarial training.

Enhancing Adversarial Transferability through Block Stretch and Shrink Fast is better than free: Revisiting adversarial training

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This paper cites A self-supervised approach for adversarial robustness.2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 259–268, 2020.

Enhancing Adversarial Transferability through Block Stretch and Shrink A self-supervised approach for adversarial robustness.2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 259–268, 2020

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This paper cites Lundberg and Su-In Lee.

Enhancing Adversarial Transferability through Block Stretch and Shrink Lundberg and Su-In Lee

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This paper cites Learning deep features for discriminative localization.2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 2921–2929, 2015.

Enhancing Adversarial Transferability through Block Stretch and Shrink Learning deep features for discriminative localization.2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 2921–2929, 2015

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This paper cites Selvaraju, Abhishek Das, Ramakrishna Vedantam, Michael Cogswell, Devi Parikh, and Dhruv Batra.

Enhancing Adversarial Transferability through Block Stretch and Shrink Selvaraju, Abhishek Das, Ramakrishna Vedantam, Michael Cogswell, Devi Parikh, and Dhruv Batra

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Enhancing Adversarial Transferability through Block Stretch and Shrink Data augmentation instead of explicit regularization

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This paper cites Khoshgoftaar.

Enhancing Adversarial Transferability through Block Stretch and Shrink Khoshgoftaar

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This paper cites Zhang, Shaoqing Ren, and Jian Sun.

Enhancing Adversarial Transferability through Block Stretch and Shrink Zhang, Shaoqing Ren, and Jian Sun

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Enhancing Adversarial Transferability through Block Stretch and Shrink Weinberger

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This paper cites Rethinking the inception architecture for computer vision.2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 2818–2826, 2015.

Enhancing Adversarial Transferability through Block Stretch and Shrink Rethinking the inception architecture for computer vision.2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 2818–2826, 2015

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This paper cites Girshick, Piotr Dollár, Zhuowen Tu, and Kaiming He.

Enhancing Adversarial Transferability through Block Stretch and Shrink Girshick, Piotr Dollár, Zhuowen Tu, and Kaiming He

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Enhancing Adversarial Transferability through Block Stretch and Shrink Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

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

Enhancing Adversarial Transferability through Block Stretch and Shrink An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

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This paper cites Rethinking spatial dimensions of vision transformers.2021 IEEE/CVF International Conference on Computer Vision (ICCV), pages 11916–11925, 2021.

Enhancing Adversarial Transferability through Block Stretch and Shrink Rethinking spatial dimensions of vision transformers.2021 IEEE/CVF International Conference on Computer Vision (ICCV), pages 11916–11925, 2021

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This paper cites Visformer: The vision-friendly transformer.2021 IEEE/CVF International Conference on Computer Vision (ICCV), pages 569–578, 2021.

Enhancing Adversarial Transferability through Block Stretch and Shrink Visformer: The vision-friendly transformer.2021 IEEE/CVF International Conference on Computer Vision (ICCV), pages 569–578, 2021

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Observation ea4aad1f-a886-4fd6-b0f1-f6baf69e4160 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.2021 IEEE/CVF International Conference on Computer Vision (ICCV), pages 9992–10002, 2021.

Enhancing Adversarial Transferability through Block Stretch and Shrink Swin transformer: Hierarchical vision transformer using shifted windows.2021 IEEE/CVF International Conference on Computer Vision (ICCV), pages 9992–10002, 2021

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Observation 8904c71a-1b16-425f-b018-d977db06df49 · outbound

This paper cites Going deeper with image transformers.2021 IEEE/CVF International Conference on Computer Vision (ICCV), pages 32–42, 2021.

Enhancing Adversarial Transferability through Block Stretch and Shrink Going deeper with image transformers.2021 IEEE/CVF International Conference on Computer Vision (ICCV), pages 32–42, 2021

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Observation 3235e617-c2a8-4296-94ff-fff81ce47f5f · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

Enhancing Adversarial Transferability through Block Stretch and Shrink Towards Deep Learning Models Resistant to Adversarial Attacks

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