Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems

24 July 2019

Papers citing "Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems"

47 / 47 papers shown

Title
Adversarial Robustness Analysis of Vision-Language Models in Medical Image Segmentation Anjila Budathoki Manish Dhakal AAML 28 0 0 05 May 2025
Are clinicians ethically obligated to disclose their use of medical machine learning systems to patients? Joshua Hatherley 29 1 0 31 Mar 2025
Long-tailed Adversarial Training with Self-Distillation Seungju Cho Hongsin Lee Changick Kim AAML TTA 141 0 0 09 Mar 2025
Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imaging Rui Luo Jie Bao Zhixin Zhou Chuangyin Dang MedIm AAML 37 5 0 07 Nov 2024
FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training Tejaswini Medi Steffen Jung M. Keuper AAML 29 3 0 30 Oct 2024
Dynamic Guidance Adversarial Distillation with Enhanced Teacher Knowledge Hyejin Park Dongbo Min AAML 31 2 0 03 Sep 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction Melkamu Mersha Khang Lam Joseph Wood Ali AlShami Jugal Kalita XAI AI4TS 64 28 0 30 Aug 2024
AdvQDet: Detecting Query-Based Adversarial Attacks with Adversarial Contrastive Prompt Tuning Xin Wang Kai-xiang Chen Xingjun Ma Zhineng Chen Jingjing Chen Yu-Gang Jiang AAML 34 3 0 04 Aug 2024
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning F. Mumuni A. Mumuni AAML 27 5 0 11 Mar 2024
Indirect Gradient Matching for Adversarial Robust Distillation Hongsin Lee Seungju Cho Changick Kim AAML FedML 48 2 0 06 Dec 2023
Generating Less Certain Adversarial Examples Improves Robust Generalization Minxing Zhang Michael Backes Xiao Zhang AAML 40 1 0 06 Oct 2023
Adaptive Input-image Normalization for Solving the Mode Collapse Problem in GAN-based X-ray Images Muhammad Muneeb Saad M. H. Rehmani Ruairi O'Reilly MedIm GAN 22 1 0 21 Sep 2023
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking Shaohui Mei Jiawei Lian Xiaofei Wang Yuru Su Mingyang Ma Lap-Pui Chau AAML 14 11 0 21 Jun 2023
TMS-Net: A Segmentation Network Coupled With A Run-time Quality Control Method For Robust Cardiac Image Segmentation F. Uslu Anil A. Bharath 24 14 0 21 Dec 2022
Understanding the Vulnerability of Skeleton-based Human Activity Recognition via Black-box Attack Yunfeng Diao He-Nan Wang Tianjia Shao Yong-Liang Yang Kun Zhou David C. Hogg Meng Wang AAML 32 6 0 21 Nov 2022
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine A. Chaddad Qizong Lu Jiali Li Y. Katib R. Kateb C. Tanougast Ahmed Bouridane Ahmed Abdulkadir OOD 21 38 0 17 Nov 2022
Adversarially Robust Medical Classification via Attentive Convolutional Neural Networks I. Wasserman OOD MedIm AAML 27 0 0 26 Oct 2022
Machine Beats Machine: Machine Learning Models to Defend Against Adversarial Attacks Jože M. Rožanec Dimitrios Papamartzivanos Entso Veliou T. Anastasiou Jelle Keizer B. Fortuna Dunja Mladenić AAML 8 1 0 28 Sep 2022
Improving Adversarial Robustness via Mutual Information Estimation Dawei Zhou Nannan Wang Xinbo Gao Bo Han Xiaoyu Wang Yibing Zhan Tongliang Liu AAML 8 15 0 25 Jul 2022
A Robust Ensemble Model for Patasitic Egg Detection and Classification Yuqi Wang Zhiqiang He Sheng Huang Huabin Du 11 5 0 04 Jul 2022
VisCUIT: Visual Auditor for Bias in CNN Image Classifier Seongmin Lee Zijie J. Wang Judy Hoffman Duen Horng Chau 22 11 0 12 Apr 2022
Adversarial Robustness through the Lens of Convolutional Filters Paul Gavrikov J. Keuper 30 15 0 05 Apr 2022
On the Convergence and Robustness of Adversarial Training Yisen Wang Xingjun Ma James Bailey Jinfeng Yi Bowen Zhou Quanquan Gu AAML 192 345 0 15 Dec 2021
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View Di Jin Elena Sergeeva W. Weng Geeticka Chauhan Peter Szolovits OOD 31 54 0 05 Dec 2021
MedRDF: A Robust and Retrain-Less Diagnostic Framework for Medical Pretrained Models Against Adversarial Attack Mengting Xu Tao Zhang Daoqiang Zhang AAML MedIm 8 23 0 29 Nov 2021
Medical Aegis: Robust adversarial protectors for medical images Qingsong Yao Zecheng He S. Kevin Zhou AAML MedIm 19 2 0 22 Nov 2021
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks Hanxun Huang Yisen Wang S. Erfani Quanquan Gu James Bailey Xingjun Ma AAML TPM 44 100 0 07 Oct 2021
Modeling Adversarial Noise for Adversarial Training Dawei Zhou Nannan Wang Bo Han Tongliang Liu AAML 24 15 0 21 Sep 2021
Kryptonite: An Adversarial Attack Using Regional Focus Yogesh Kulkarni Krisha Bhambani AAML 19 3 0 23 Aug 2021
Towards Robust General Medical Image Segmentation Laura Alexandra Daza Juan C. Pérez Pablo Arbelaez OOD 15 25 0 09 Jul 2021
Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning Matthew Watson Noura Al Moubayed AAML MedIm 8 20 0 05 May 2021
Removing Adversarial Noise in Class Activation Feature Space Dawei Zhou N. Wang Chunlei Peng Xinbo Gao Xiaoyu Wang Jun Yu Tongliang Liu AAML 17 28 0 19 Apr 2021
Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack Mengting Xu Tao Zhang Zhongnian Li Mingxia Liu Daoqiang Zhang AAML OOD MedIm 17 41 0 05 Mar 2021
Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review Dongrui Wu Jiaxin Xu Weili Fang Yi Zhang Liuqing Yang Xiaodong Xu Hanbin Luo Xiang Yu AAML 6 25 0 04 Feb 2021
Unlearnable Examples: Making Personal Data Unexploitable Hanxun Huang Xingjun Ma S. Erfani James Bailey Yisen Wang MIACV 136 190 0 13 Jan 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 27 2 0 04 Jan 2021
Deep Learning Based Classification of Unsegmented Phonocardiogram Spectrograms Leveraging Transfer Learning Kaleem Nawaz Khan Faiq Ahmad Khan A. Abid T. Ölmez Z. Dokur Amith Khandakar M. Chowdhury Muhammad Salman Khan 11 37 0 15 Dec 2020
Recent Advances in Understanding Adversarial Robustness of Deep Neural Networks Tao Bai Jinqi Luo Jun Zhao AAML 38 8 0 03 Nov 2020
A Unified Approach to Interpreting and Boosting Adversarial Transferability Xin Eric Wang Jie Ren Shuyu Lin Xiangming Zhu Yisen Wang Quanshi Zhang AAML 15 94 0 08 Oct 2020
Bias Field Poses a Threat to DNN-based X-Ray Recognition Binyu Tian Qing-Wu Guo Felix Juefei Xu W. L. Chan Yupeng Cheng Xiaohong Li Xiaofei Xie Shengchao Qin AAML AI4CE 24 33 0 19 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 20 79 0 17 Sep 2020
Trust and Medical AI: The challenges we face and the expertise needed to overcome them Thomas P. Quinn M. Senadeera Stephan Jacobs S. Coghlan Vuong Le 8 122 0 18 Aug 2020
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks Yunfei Liu Xingjun Ma James Bailey Feng Lu AAML 11 501 0 05 Jul 2020
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them Chen Liu Mathieu Salzmann Tao R. Lin Ryota Tomioka Sabine Süsstrunk AAML 14 81 0 15 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 6 309 0 14 Feb 2020
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 250 5,833 0 08 Jul 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 435 15,631 0 02 Nov 2015