TRAIL: Transferable Robust Adversarial Images via Latent diffusion | Paper Citation Record

Observation 73a9b8c0-2172-412f-8c96-5e19b954303d · outbound

This paper cites Feature purification: How adversarial training performs robust deep learning.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Feature purification: How adversarial training performs robust deep learning

Reference 1

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Observation d8aba8de-546e-4df0-8a72-d1642a2991f4 · outbound

This paper cites Unrestricted Adversarial Examples via Semantic Manipulation.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Unrestricted Adversarial Examples via Semantic Manipulation

Reference 2

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This paper cites Diffusion models are certifiably robust classifiers.Advances in Neural Information Processing Systems, 37:50062–50097, 2025.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Diffusion models are certifiably robust classifiers.Advances in Neural Information Processing Systems, 37:50062–50097, 2025

Reference 3

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This paper cites Diffusion models for imperceptible and transferable adversarial attack.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Diffusion models for imperceptible and transferable adversarial attack.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024

Reference 4

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Observation 450bb7d9-b53d-4f49-8a88-4342e6fdbb4f · outbound

This paper cites Content-based unrestricted ad- versarial attack.Advances in Neural Information Processing Systems, 36, 2024.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Content-based unrestricted ad- versarial attack.Advances in Neural Information Processing Systems, 36, 2024

Reference 5

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Observation ee229a87-e568-4418-bbdf-c42dbf4f1a9e · outbound

This paper cites Boosting adversarial at- tacks with momentum.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Boosting adversarial at- tacks with momentum

Reference 6

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Observation ccf5737e-8e34-4de8-ba3f-1907520a7ea9 · outbound

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

TRAIL: Transferable Robust Adversarial Images via Latent diffusion An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 7

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Observation 9992e66f-cf70-46b7-b773-cb8a1eb469d2 · outbound

This paper cites Patch-wise attack for fooling deep neu- ral network.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Patch-wise attack for fooling deep neu- ral network

Reference 8

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Observation ac5756e1-c580-490f-a15b-1854220a65e8 · outbound

This paper cites Boosting adversarial transferability by achieving flat local maxima.Advances in Neural Informa- tion Processing Systems, 36:70141–70161, 2023.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Boosting adversarial transferability by achieving flat local maxima.Advances in Neural Informa- tion Processing Systems, 36:70141–70161, 2023

Reference 9

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Observation b12cb4f3-5778-4c40-bc63-9e3363747d0a · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Explaining and Harnessing Adversarial Examples

Reference 10

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This paper cites Countering Adversarial Images using Input Transformations.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Countering Adversarial Images using Input Transformations

Reference 11

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Observation 0dd0631e-a8df-4a09-b40c-473a04e0ad2a · outbound

This paper cites Deep residual learning for image recognition.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Deep residual learning for image recognition

Reference 12

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Observation 685570b4-852a-44c0-b182-dffbfbca4888 · outbound

This paper cites Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 13

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Observation 110fc522-221c-4982-88c9-0a32eb19d62d · outbound

This paper cites Semantic adver- sarial examples.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Semantic adver- sarial examples

Reference 14

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Observation 5f03f795-3ca1-467c-ad2a-609a48fb20a7 · outbound

This paper cites A new defense against adversarial images: Turning a weakness into a strength.Advances in neural in- formation processing systems, 32, 2019.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion A new defense against adversarial images: Turning a weakness into a strength.Advances in neural in- formation processing systems, 32, 2019

Reference 15

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Observation bc5ecfa7-1414-43d1-8460-66a904872f50 · outbound

This paper cites Densely connected convolutional net- works.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Densely connected convolutional net- works

Reference 16

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Observation 00478bd9-2cfe-4e97-adf9-49591bdf1fd4 · outbound

This paper cites Adv-attribute: Inconspicuous and transferable adversarial attack on face recognition.Advances in Neural Information Processing Systems, 35:34136–34147, 2022.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Adv-attribute: Inconspicuous and transferable adversarial attack on face recognition.Advances in Neural Information Processing Systems, 35:34136–34147, 2022

Reference 17

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Observation 18743755-94fa-4ce2-8809-1f2026517ce3 · outbound

This paper cites Functional adversarial attacks, 2019.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Functional adversarial attacks, 2019

Reference 18

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Observation 971d646f-48af-4882-9a92-f3241c5d5fdd · outbound

This paper cites Adaptive estimation of a quadratic functional by model selection.Annals of statis- tics, pages 1302–1338, 2000.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Adaptive estimation of a quadratic functional by model selection.Annals of statis- tics, pages 1302–1338, 2000

Reference 19

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Observation 72baf321-de31-4037-8731-ff8fe2032cca · outbound

This paper cites Adaptive training meets progressive scaling: El- evating efficiency in diffusion models.arXiv e-prints, pages arXiv–2312, 2023.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Adaptive training meets progressive scaling: El- evating efficiency in diffusion models.arXiv e-prints, pages arXiv–2312, 2023

Reference 20

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Observation 9d280168-d3f6-4543-8680-06e1bcb4ff9c · outbound

This paper cites Transferable Adversarial Face Attack with Text Controlled Attribute.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Transferable Adversarial Face Attack with Text Controlled Attribute

Reference 21

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This paper cites A comprehensive sur- vey on test-time adaptation under distribution shifts.Inter- national Journal of Computer Vision, 133(1):31–64, 2025.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion A comprehensive sur- vey on test-time adaptation under distribution shifts.Inter- national Journal of Computer Vision, 133(1):31–64, 2025

Reference 22

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Observation b783a126-7142-4571-ae94-0887b1c8df57 · outbound

This paper cites Visual instruction tuning, 2023.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Visual instruction tuning, 2023

Reference 23

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This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Swin transformer: Hierarchical vision transformer using shifted windows

Reference 24

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This paper cites Fre- quency domain model augmentation for adversarial attack.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Fre- quency domain model augmentation for adversarial attack

Reference 25

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Observation c2dd03d8-194f-425b-a674-468a6afeb0fd · outbound

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

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 26

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

TRAIL: Transferable Robust Adversarial Images via Latent diffusion A self-supervised approach for adversarial robustness

Reference 27

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This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 28

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This paper cites Diffusion Models for Adversarial Purification.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Diffusion Models for Adversarial Purification

Reference 29

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TRAIL: Transferable Robust Adversarial Images via Latent diffusion Unresolved cited work

Reference 30

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This paper cites Scalable diffusion models with transformers.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Scalable diffusion models with transformers

Reference 31

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This paper cites Semanticadv: Generating adver- sarial examples via attribute-conditioned image editing.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Semanticadv: Generating adver- sarial examples via attribute-conditioned image editing

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:05.147305Z

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Observation 0a750cce-0b4d-4801-9768-cc84ce7145f3 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Learning transferable visual models from natural language supervi- sion

Reference 33

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This paper cites High-resolution image synthesis with latent diffusion models.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion High-resolution image synthesis with latent diffusion models

Reference 34

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This paper cites Photorealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Photorealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022

Reference 35

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This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Mobilenetv2: Inverted residuals and linear bottlenecks

Reference 36

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This paper cites Colorfool: Semantic adversarial coloriza- tion.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Colorfool: Semantic adversarial coloriza- tion

Reference 37

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This paper cites Generative modeling by esti- mating gradients of the data distribution.Advances in neural information processing systems, 32, 2019.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Generative modeling by esti- mating gradients of the data distribution.Advances in neural information processing systems, 32, 2019

Reference 38

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This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Score-Based Generative Modeling through Stochastic Differential Equations

Reference 39

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This paper cites Intriguing properties of neural networks.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Intriguing properties of neural networks

Reference 40

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

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Rethinking the inception archi- tecture for computer vision

Reference 41

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This paper cites Efficientnet: Rethinking model scaling for convolutional neural networks.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Efficientnet: Rethinking model scaling for convolutional neural networks

Reference 42

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This paper cites Detect- ing adversarial examples from sensitivity inconsistency of spatial-transform domain.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Detect- ing adversarial examples from sensitivity inconsistency of spatial-transform domain

Reference 43

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This paper cites Enhancing the transferability of adversarial attacks through variance tuning.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Enhancing the transferability of adversarial attacks through variance tuning

Reference 44

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

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Admix: Enhancing the transferability of adversarial attacks

Reference 45

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This paper cites Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612, 2004.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612, 2004

Reference 46

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This paper cites Generating Adversarial Examples with Adversarial Networks.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Generating Adversarial Examples with Adversarial Networks

Reference 47

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This paper cites Spatially Transformed Adversarial Examples.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Spatially Transformed Adversarial Examples

Reference 48

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This paper cites Mitigating Adversarial Effects Through Randomization.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Mitigating Adversarial Effects Through Randomization

Reference 49

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

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Stochastic variance reduced ensemble adver- sarial attack for boosting the adversarial transferability

Reference 50

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This paper cites Imagere- ward: Learning and evaluating human preferences for text- to-image generation.Advances in Neural Information Pro- cessing Systems, 36:15903–15935, 2023.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Imagere- ward: Learning and evaluating human preferences for text- to-image generation.Advances in Neural Information Pro- cessing Systems, 36:15903–15935, 2023

Reference 51

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This paper cites Quantization aware attack: Enhancing transferable ad- versarial attacks by model quantization.IEEE Transactions on Information Forensics and Security, 19:3265–3278, 2024.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Quantization aware attack: Enhancing transferable ad- versarial attacks by model quantization.IEEE Transactions on Information Forensics and Security, 19:3265–3278, 2024

Reference 52

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Observation 6921f7a7-c833-4133-b057-7d98dc405fe8 · outbound

This paper cites Natural color fool: Towards boosting black-box unrestricted attacks.Advances in Neural Informa- tion Processing Systems, 35:7546–7560, 2022.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Natural color fool: Towards boosting black-box unrestricted attacks.Advances in Neural Informa- tion Processing Systems, 35:7546–7560, 2022

Reference 53

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Observation 0360e510-0234-4bbd-b1e8-dcf3b49e6250 · outbound

This paper cites Adversarial Color Enhancement: Generating Unrestricted Adversarial Images by Optimizing a Color Filter.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion Adversarial Color Enhancement: Generating Unrestricted Adversarial Images by Optimizing a Color Filter

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:00.687141Z

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Unavailable: canonical work link unavailable.

Observation 39ef3971-0d9d-4937-832c-6f3907004406 · outbound

This paper cites [39] estab- lished a connection between the DDPM [13] process and stochastic differential equations (SDEs [38]), showing that DDPM can be expressed as a specific form of SDE.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion [39] estab- lished a connection between the DDPM [13] process and stochastic differential equations (SDEs [38]), showing that DDPM can be expressed as a specific form of SDE

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:02.332628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 274649c4-3eb6-4cf9-91e5-2e7265a909b5 · outbound

This paper cites In the experiments of Section 4.2, we also used Swin-B as the surrogate model, as shown in Table 4.

TRAIL: Transferable Robust Adversarial Images via Latent diffusion In the experiments of Section 4.2, we also used Swin-B as the surrogate model, as shown in Table 4

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:02.066658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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