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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:09.123544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:54.449669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff44c922-c86f-4f6c-98f0-a14008470e79 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:09.011508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 749291db-1532-4882-a4aa-2bad68bbe93e · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:08.780813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:08.535249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:08.297307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:55.172128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:08.104560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:07.809041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:55.719449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8695555-5593-4840-a956-026d1bfd28e1 · outbound

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

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:55.888342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:56.042852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:56.106276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:07.549842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:07.293108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:07.123288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:06.861938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:06.547291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:06.298186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:06.042553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:09:01.622410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2fe2749a-03a8-4a81-9876-f48597ae9913 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:05.798672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:57.535217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db4d0422-405d-4a7a-8cda-271f8c87c29d · outbound

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

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:57.665883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 053e95a7-d5f2-426f-ad45-c47f10b3fbfd · outbound

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

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:57.803356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:57.930077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfcce371-3267-4e3a-a5bd-069b57aca3f5 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:05.462210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 860b2124-c329-40c2-af50-e488aff1968d · outbound

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

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:58.219446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f816d41b-8613-423a-a657-24322fa6a08f · outbound

This paper cites Diffusion Models for Adversarial Purification.

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

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:58.305777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91447e25-08d8-4a3e-b1ca-053e77f77019 · outbound

This paper cites an unresolved cited work.

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

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:58.393446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90bd0b75-44c4-420a-a233-ee22dff99559 · outbound

This paper cites Scalable diffusion models with transformers.

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

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:58.488950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff03310e-5d45-4ff7-8c2e-73450e80cf3c · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:04.927842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0905c5a2-72d8-4453-b920-b0eeba9fd18c · outbound

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

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:58.773160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78365cfa-3203-4b6e-a2ab-0fab7306dbc7 · outbound

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

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:58.886922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34bfaddd-e22b-4e60-a808-9f74e7064767 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:04.574838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b317852b-df28-4242-92a7-aa3f9015fab3 · outbound

This paper cites Colorfool: Semantic adversarial coloriza- tion.

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

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:04.294291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3dc2f530-503a-48e1-9580-011da365b3b1 · outbound

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

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:59.158461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db7035ef-3d9d-49c0-89ac-57986fb73e65 · outbound

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

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:59.331189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47079308-1cfd-4e55-9760-cdf61fa0a67d · outbound

This paper cites Intriguing properties of neural networks.

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

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:59.452646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7125f1f-113f-45a0-ac76-249dd433a2c9 · outbound

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

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:59.547653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11b252ea-d3a5-4463-abdd-8937384ddbdf · outbound

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

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:59.656565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f61e751a-6aad-45bc-8b13-5f8a7c63ae56 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:04.036938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7cde248f-1c85-497d-8aa2-1657f5ec9d54 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:03.726416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 41818089-5530-4e58-8bfd-ed6c1cfd7214 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:03.444372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bc37b932-7d28-4874-b2b6-c6c8dc5b98b2 · outbound

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

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:59.911938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb549de0-e160-4ca9-8980-6d29c1cf4c6c · outbound

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

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:59.975153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67b8c7bf-698d-4c0d-bc2c-b99e8a8be63f · outbound

This paper cites Spatially Transformed Adversarial Examples.

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

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:00.067979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f033d2e6-0868-4e15-bb0d-a9b5babf24c1 · outbound

This paper cites Mitigating Adversarial Effects Through Randomization.

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

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:00.155566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c570694-6f2d-4b0a-8039-0edf1ceab3f2 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:03.190756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8d04f5b9-c43b-4cf6-b367-736d42ee9d29 · outbound

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

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:00.362408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa5d6a97-ea68-44fb-b1c2-f898578c17b9 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:02.868225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:02.590980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

Source-reported events for the cited work

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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers