CoRPA: Adversarial Image Generation for Chest X-rays Using Concept Vector Perturbations and Generative Models

4 February 2025

Papers citing "CoRPA: Adversarial Image Generation for Chest X-rays Using Concept Vector Perturbations and Generative Models"

41 / 41 papers shown

Title
Generating Realistic X-ray Scattering Images Using Stable Diffusion and Human-in-the-loop Annotations Zhuowen Zhao Xiaoya Chong Tanny Chavez Alexander Hexemer 68 1 0 22 Aug 2024
Chest-Diffusion: A Light-Weight Text-to-Image Model for Report-to-CXR Generation Peng Huang Xue Gao Lihong Huang Jing Jiao Xiaokang Li Yuanyuan Wang Yi Guo MedIm DiffM 48 9 0 30 Jun 2024
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge G. Holste Yiliang Zhou Song Wang Ajay Jaiswal Mingquan Lin ... Zhiyong Lu Ronald M. Summers George Shih Zhangyang Wang Yifan Peng 48 16 0 24 Oct 2023
Cross-Modal Conceptualization in Bottleneck Models Danis Alukaev S. Kiselev Ilya Pershin Bulat Ibragimov Vladimir Ivanov Alexey Kornaev Ivan Titov 64 7 0 23 Oct 2023
PIE: Simulating Disease Progression via Progressive Image Editing Kaizhao Liang Xu Cao Kuei-Da Liao Tianren Gao Wenqian Ye Zhengyu Chen Jianguo Cao Tejas Nama Jimeng Sun MedIm AI4CE 56 5 0 21 Sep 2023
Evaluating the feasibility of using Generative Models to generate Chest X-Ray Data Muhammad Danyal Malik Danish Humair LM&MA MedIm 36 3 0 30 May 2023
Adapting Pretrained Vision-Language Foundational Models to Medical Imaging Domains Pierre J. Chambon Christian Blüthgen C. Langlotz Akshay S. Chaudhari DiffM MedIm LM&MA 52 115 0 09 Oct 2022
A ConvNet for the 2020s Zhuang Liu Hanzi Mao Chaozheng Wu Christoph Feichtenhofer Trevor Darrell Saining Xie ViT 159 5,167 0 10 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 398 15,486 0 20 Dec 2021
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods Zohaib Salahuddin Henry C. Woodruff A. Chatterjee Philippe Lambin 56 316 0 01 Nov 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Mian Navid Kardan M. Shah AAML 60 240 0 01 Aug 2021
LoRA: Low-Rank Adaptation of Large Language Models J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 393 10,301 0 17 Jun 2021
EfficientNetV2: Smaller Models and Faster Training Mingxing Tan Quoc V. Le EgoV 119 2,696 0 01 Apr 2021
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises S. Kevin Zhou H. Greenspan Christos Davatzikos James S. Duncan Bram van Ginneken A. Madabhushi Jerry L. Prince Daniel Rueckert Ronald M. Summers 152 638 0 02 Aug 2020
Concept Bottleneck Models Pang Wei Koh Thao Nguyen Y. S. Tang Stephen Mussmann Emma Pierson Been Kim Percy Liang 94 821 0 09 Jul 2020
CheXpert++: Approximating the CheXpert labeler for Speed,Differentiability, and Probabilistic Output Matthew B. A. McDermott T. Hsu W. Weng Marzyeh Ghassemi U. Toronto 70 32 0 26 Jun 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 569 18,008 0 19 Jun 2020
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets Dongxian Wu Yisen Wang Shutao Xia James Bailey Xingjun Ma AAML SILM 73 314 0 14 Feb 2020
Simple Black-box Adversarial Attacks Chuan Guo Jacob R. Gardner Yurong You A. Wilson Kilian Q. Weinberger AAML 55 578 0 17 May 2019
MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs Alistair E. W. Johnson Tom Pollard Nathaniel R. Greenbaum M. Lungren Chih-ying Deng Yifan Peng Zhiyong Lu R. Mark Seth Berkowitz Steven Horng MedIm 94 810 0 21 Jan 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison Jeremy Irvin Pranav Rajpurkar M. Ko Yifan Yu Silviana Ciurea-Ilcus ... D. Larson C. Langlotz Bhavik Patel M. Lungren A. Ng 110 2,591 0 21 Jan 2019
An Interpretable Deep Hierarchical Semantic Convolutional Neural Network for Lung Nodule Malignancy Classification Shiwen Shen Simon X. Han D. Aberle Alex A. T. Bui William Hsu 27 238 0 02 Jun 2018
Black-box Adversarial Attacks with Limited Queries and Information Andrew Ilyas Logan Engstrom Anish Athalye Jessy Lin MLAU AAML 163 1,200 0 23 Apr 2018
Adversarial Attacks Against Medical Deep Learning Systems S. G. Finlayson Hyung Won Chung I. Kohane Andrew L. Beam SILM AAML OOD MedIm 50 232 0 15 Apr 2018
NegBio: a high-performance tool for negation and uncertainty detection in radiology reports Yifan Peng Xiaosong Wang Le Lu M. Bagheri Ronald M. Summers Zhiyong Lu MedIm UQCV 40 199 0 16 Dec 2017
Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV) Been Kim Martin Wattenberg Justin Gilmer Carrie J. Cai James Wexler F. Viégas Rory Sayres FAtt 211 1,838 0 30 Nov 2017
Mitigating Adversarial Effects Through Randomization Cihang Xie Jianyu Wang Zhishuai Zhang Zhou Ren Alan Yuille AAML 113 1,058 0 06 Nov 2017
Countering Adversarial Images using Input Transformations Chuan Guo Mayank Rana Moustapha Cissé Laurens van der Maaten AAML 109 1,404 0 31 Oct 2017
Dynamic Routing Between Capsules S. Sabour Nicholas Frosst Geoffrey E. Hinton 169 4,595 0 26 Oct 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 301 12,063 0 19 Jun 2017
Ensemble Adversarial Training: Attacks and Defenses Florian Tramèr Alexey Kurakin Nicolas Papernot Ian Goodfellow Dan Boneh Patrick McDaniel AAML 177 2,725 0 19 May 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 509 10,318 0 16 Nov 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 764 36,781 0 25 Aug 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 534 5,897 0 08 Jul 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 16,954 0 16 Feb 2016
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning Hoo-Chang Shin H. Roth Mingchen Gao Le Lu Ziyue Xu Isabella Nogues Jianhua Yao D. Mollura Ronald M. Summers 72 4,604 0 10 Feb 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 250 9,308 0 14 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,814 0 10 Dec 2015
DeepFool: a simple and accurate method to fool deep neural networks Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi P. Frossard AAML 148 4,895 0 14 Nov 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 271 19,045 0 20 Dec 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 268 14,912 1 21 Dec 2013