Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images | Paper Citation Record

Observation 62c88863-3685-4b8d-89fd-6fc3b4eb87f2 · outbound

This paper cites A comprehensive review on breast cancer de- tection, classification and segmentation using deep learning.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images A comprehensive review on breast cancer de- tection, classification and segmentation using deep learning

Reference 1

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Observation c90f1599-e676-46ba-a200-c38e9c51b638 · outbound

This paper cites Dataset of breast ultrasound images.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Dataset of breast ultrasound images

Reference 2

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Observation 49e5e72d-017d-44a0-9ea4-8d60ed2d692f · outbound

This paper cites Vision-Language Synthetic Data Enhances Echocardiography Downstream Tasks.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Vision-Language Synthetic Data Enhances Echocardiography Downstream Tasks

Reference 3

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Observation 8a39ceb4-103f-460b-900a-1d8b66311678 · outbound

This paper cites Badclip: Trigger-aware prompt learning for backdoor attacks on clip.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Badclip: Trigger-aware prompt learning for backdoor attacks on clip

Reference 4

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Observation b23f8b87-3211-407c-a7c8-0adcfed85a69 · outbound

This paper cites Recent Advances in Adversarial Training for Adversarial Robustness.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Recent Advances in Adversarial Training for Adversarial Robustness

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T16:40:06.961824Z

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Observation efb2f68f-cda1-446b-8fd8-79e88c6c0a04 · outbound

This paper cites In- structpix2pix: Learning to follow image editing instructions.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images In- structpix2pix: Learning to follow image editing instructions

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T16:40:06.966490Z

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Observation e4b48f23-811f-4ed5-945d-39fb436ff79a · outbound

This paper cites Adversarial Patch.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Adversarial Patch

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T16:40:06.970938Z

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Observation 7c98fa84-b04e-4d04-8520-d0f8afc55a8a · outbound

This paper cites Towards evaluating the robustness of neural networks.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Towards evaluating the robustness of neural networks

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:40:08.039265Z

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Observation 84c83e94-0576-4a5a-a931-4d51f8885dc9 · outbound

This paper cites Diffusion models for imperceptible and transferable adversarial attack.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Diffusion models for imperceptible and transferable adversarial attack

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:40:08.024606Z

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Observation 43552570-22ad-45ff-8616-6a8f663a9f05 · outbound

This paper cites Adversarial-robust transfer learning for medical imaging via domain assimilation.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Adversarial-robust transfer learning for medical imaging via domain assimilation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:40:08.010713Z

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Observation 251da3ac-af6b-41d0-8d75-28cce04b4031 · outbound

This paper cites Advdiffuser: Natural adversarial exam- ple synthesis with diffusion models.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Advdiffuser: Natural adversarial exam- ple synthesis with diffusion models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:40:07.996745Z

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Observation 06c9e392-e2e9-4500-af16-837e64df472d · outbound

This paper cites Computer-aided diagnosis with deep learning architecture: applications to breast le- sions in us images and pulmonary nodules in ct scans.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Computer-aided diagnosis with deep learning architecture: applications to breast le- sions in us images and pulmonary nodules in ct scans

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:40:07.983705Z

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Observation 1c34a645-9917-4104-aa50-402891f7d85b · outbound

This paper cites Stable diffusion v1.4 - original, 2023.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Stable diffusion v1.4 - original, 2023

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:40:07.970244Z

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Observation 9e7071f4-e605-4145-8beb-d8ef23c4c5da · outbound

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

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Imagenet: A large-scale hierarchical image database

Reference 14

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Observation 8bdb4049-5ba7-4f44-acdc-79b4de01a65f · outbound

This paper cites Survey on Adversarial Attack and Defense for Medical Image Analysis: Methods and Challenges.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Survey on Adversarial Attack and Defense for Medical Image Analysis: Methods and Challenges

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-11T16:40:07.474538Z

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Observation 1d9cddd9-8f1e-410d-9533-a89d6dbc2bdc · outbound

This paper cites Advanced breast imaging modali- ties—dbt, cem, mbi, pem, mri, ai.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Advanced breast imaging modali- ties—dbt, cem, mbi, pem, mri, ai

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:40:07.948941Z

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Observation 9d435102-2929-452c-91e4-0b875c97e819 · outbound

This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 17

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Observation 4c4fe7ac-0566-4a10-bb6e-6acf56eca1dd · outbound

This paper cites Bus-bra: A breast ultrasound dataset for assessing computer-aided diagnosis systems.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Bus-bra: A breast ultrasound dataset for assessing computer-aided diagnosis systems

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:40:07.934562Z

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Observation 23ac43df-8ab0-4816-96af-3bc6f912ddf9 · outbound

This paper cites Generative adversarial nets.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Generative adversarial nets

Reference 19

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Observation eccb39fe-8a0c-44f8-a981-8519045e3527 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Explaining and Harnessing Adversarial Examples

Reference 20

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Observation b0d76c2b-1ce3-4d8f-bd0e-e9a8bdfac26d · outbound

This paper cites Baple: Back- door attacks on medical foundational models using prompt learning.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Baple: Back- door attacks on medical foundational models using prompt learning

Reference 21

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Observation 738c6854-493d-4b0b-948e-6f7fbbdc035f · outbound

This paper cites Adversarially Robust Feature Learning for Breast Cancer Diagnosis.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Adversarially Robust Feature Learning for Breast Cancer Diagnosis

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-11T16:40:07.432665Z

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Observation 37cc124c-242f-48bc-87f2-b0f4a2a8049e · outbound

This paper cites Deep residual learning for image recognition.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Deep residual learning for image recognition

Reference 23

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Observation dc4f3d48-38bd-4287-a873-0a477cba53d2 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 24

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Observation 936a0ef7-6883-4ed8-8b91-f5c73fcec286 · outbound

This paper cites Denoising dif- fusion probabilistic models.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Denoising dif- fusion probabilistic models

Reference 25

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Observation 45d0a125-0919-43c5-9705-7d172c2e1b3c · outbound

This paper cites Densely connected convolutional net- works.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Densely connected convolutional net- works

Reference 26

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Observation f14024ef-12d2-46d3-b952-e1cd0f170f10 · outbound

This paper cites Promptsmooth: Certifying robustness of medical vision-language models via prompt learning.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Promptsmooth: Certifying robustness of medical vision-language models via prompt learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:40:07.864808Z

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Observation 693aa3e8-eec4-4891-ba9d-3be258b5d8d7 · outbound

This paper cites SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

Reference 28

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Observation 0479426a-1e42-4c36-993c-fb2a61dd6b2e · outbound

This paper cites Diffattack: Evasion attacks against diffusion-based adversarial purification.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Diffattack: Evasion attacks against diffusion-based adversarial purification

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:40:07.852373Z

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Observation 9b6c25f3-4e3f-4cd2-94b0-6dedb4a630ae · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images A style-based generator architecture for generative adversarial networks

Reference 30

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Observation 0d224639-ffb4-46e0-9d4d-637139c7786a · outbound

This paper cites Diffusion models in medical imaging: A comprehensive survey.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Diffusion models in medical imaging: A comprehensive survey

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:40:07.832476Z

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Observation ee400e35-9457-4fb8-b2c6-2a1352ab3659 · outbound

This paper cites Deep fea- ture extraction and classification of breast ultrasound im- ages.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Deep fea- ture extraction and classification of breast ultrasound im- ages

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:40:07.817296Z

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Observation 015310c5-d350-4a14-ab4a-5f50cbe635e6 · outbound

This paper cites Digital breast to- mosynthesis and the challenges of implementing an emerg- ing breast cancer screening technology into clinical practice.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Digital breast to- mosynthesis and the challenges of implementing an emerg- ing breast cancer screening technology into clinical practice

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:40:07.804770Z

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Observation 9390a0fe-ae16-4bf5-9dbe-df0f02a87ca4 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 34

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Observation 36df8d8e-8ac4-4f68-9c74-d22d4c540e37 · outbound

This paper cites Ultrasound physics and instrumentation for pathologists.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Ultrasound physics and instrumentation for pathologists

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:40:07.792060Z

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Observation c76b10ac-2187-41eb-b645-dba79d60869e · outbound

This paper cites SD-NAE: Generating Natural Adversarial Examples with Stable Diffusion.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images SD-NAE: Generating Natural Adversarial Examples with Stable Diffusion

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-11T16:40:07.389606Z

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Observation 293da549-8996-4b03-855f-bf121e9c4db0 · outbound

This paper cites Instruct2Attack: Language-Guided Semantic Adversarial Attacks.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Instruct2Attack: Language-Guided Semantic Adversarial Attacks

Reference 37

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Observation 8db4414d-cf12-4542-8fb3-445c21826946 · outbound

This paper cites Decoupled Weight Decay Regularization.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Decoupled Weight Decay Regularization

Reference 38

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Observation 1ce1b1d4-388c-44a1-8543-93567b373c95 · outbound

This paper cites Understanding adversarial at- tacks on deep learning based medical image analysis sys- tems.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Understanding adversarial at- tacks on deep learning based medical image analysis sys- tems

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:40:07.779695Z

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Observation 0b8c6e3c-3e22-4e73-a2d2-1cb2c69ed9b0 · outbound

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

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 40

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Observation 2ba10f78-ca5c-46f8-95c4-eaf5824d4616 · outbound

This paper cites Prompting hard or hardly prompting: Prompt inversion for text-to-image diffusion models.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Prompting hard or hardly prompting: Prompt inversion for text-to-image diffusion models

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:40:07.767835Z

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Observation f66c7bde-2839-4690-bc6c-1c378000d276 · outbound

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

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Deepfool: a simple and accurate method to fool deep neural networks

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:40:07.755208Z

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Observation f3417454-f2ba-413b-ad9a-d973c4270fdb · outbound

This paper cites Boosting diffusion models with moving average sampling in frequency domain.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Boosting diffusion models with moving average sampling in frequency domain

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:40:07.743354Z

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Observation e518be7f-5507-4558-865d-467288e993f2 · outbound

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

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Learning transferable visual models from natural language supervi- sion

Reference 44

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Observation 55e85e72-0fd1-4593-ae0a-d44fb101c4fa · outbound

This paper cites Adver- sarial attacks and defenses in deep learning.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Adver- sarial attacks and defenses in deep learning

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:40:07.721069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 53615371-c4db-4b00-be42-b4093a7e118d · outbound

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

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images High-resolution image synthesis with latent diffusion models

Reference 46

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Observation 34f22c21-d9a3-408b-9411-b5098c4890c9 · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images U- net: Convolutional networks for biomedical image segmen- tation

Reference 47

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Observation 9a26367b-a111-4134-8340-09b7fa50394a · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Deep unsupervised learning using nonequilibrium thermodynamics

Reference 48

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This paper cites Constructing unrestricted adversarial examples with genera- tive models.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Constructing unrestricted adversarial examples with genera- tive models

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:40:07.682031Z

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Observation e56d892d-556a-466b-9dd2-d306f63ea354 · outbound

This paper cites Mirst-dm: Multi-instance rst with drop-max layer for robust classification of breast cancer.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Mirst-dm: Multi-instance rst with drop-max layer for robust classification of breast cancer

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:40:07.667951Z

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This paper cites Advanced ap- plications of breast ultrasound.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Advanced ap- plications of breast ultrasound

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:40:07.653964Z

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Observation 85982beb-23ed-421c-b394-471c46f65796 · outbound

This paper cites Intriguing properties of neural networks.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Intriguing properties of neural networks

Reference 52

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Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Neural discrete representation learning

Reference 53

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Observation c446187b-42f3-4287-bf5f-6db29624eefe · outbound

This paper cites Visualizing data using t-sne.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Visualizing data using t-sne

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T16:40:07.188163Z

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This paper cites P+: Extended Textual Conditioning in Text-to-Image Generation.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images P+: Extended Textual Conditioning in Text-to-Image Generation

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T16:40:07.192251Z

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Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Advst: Generat- ing unrestricted adversarial images via style transfer

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:40:07.622652Z

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Observation 853fad53-c40b-4a08-8436-1bfa07ba46e4 · outbound

This paper cites MedCLIP: Contrastive Learning from Unpaired Medical Images and Text.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-11T16:40:07.201294Z

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Observation f9aa9965-cde5-4692-92dd-1fa68e090a9c · outbound

This paper cites Better diffusion models further improve adversarial training.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Better diffusion models further improve adversarial training

Reference 58

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Observation 2d6fc0c9-85e4-4a3e-8b45-b3bb6d2bfcb0 · outbound

This paper cites Defending against Adversarial Audio via Diffusion Model.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Defending against Adversarial Audio via Diffusion Model

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-11T16:40:07.211567Z

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Observation 496a5d93-2f95-4490-938c-f630023efd55 · outbound

This paper cites Diffusion-based adversarial sample generation for improved stealthiness and controllability.Advances in Neural Informa- tion Processing Systems, 36:2894–2921, 2023.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Diffusion-based adversarial sample generation for improved stealthiness and controllability.Advances in Neural Informa- tion Processing Systems, 36:2894–2921, 2023

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:40:07.596505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5d4f2751-4572-4305-b1cc-1fb0056bafbf · outbound

This paper cites Diffusion-based adversarial sample generation for improved stealthiness and controllability.Advances in Neural Informa- tion Processing Systems, 36, 2024.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Diffusion-based adversarial sample generation for improved stealthiness and controllability.Advances in Neural Informa- tion Processing Systems, 36, 2024

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:40:07.580372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 45d881ec-6654-4670-b526-35a84376a6be · outbound

This paper cites Automated breast ultrasound lesions detec- tion using convolutional neural networks.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Automated breast ultrasound lesions detec- tion using convolutional neural networks

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:40:07.566567Z

Source-reported events for the cited work

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Observation ffff7d9b-f72b-40d5-b314-e0fe34f39153 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images The unreasonable effectiveness of deep features as a perceptual metric

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-11T16:40:07.231525Z

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Observation a3aa837b-4b3f-4385-afac-51efa5b2005d · outbound

This paper cites Generating Natural Adversarial Examples.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images Generating Natural Adversarial Examples

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T16:40:07.235895Z

Source-reported events for the cited work

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Observation 240ba818-e2de-4c93-b2bd-7c05ddafdae1 · outbound

This paper cites A machine and human reader study on ai diagnosis model safety under attacks of adversar- ial images.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images A machine and human reader study on ai diagnosis model safety under attacks of adversar- ial images

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:40:07.542091Z

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Observation 9bc5a328-8c0c-488c-a358-8ca9248c07de · outbound

This paper cites A pilot study of query-free adversarial attack against stable diffusion.

Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images A pilot study of query-free adversarial attack against stable diffusion

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:40:07.526176Z

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