Adversarial Attacks Against Medical Deep Learning Systems

15 April 2018

Papers citing "Adversarial Attacks Against Medical Deep Learning Systems"

27 / 27 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
CoRPA: Adversarial Image Generation for Chest X-rays Using Concept Vector Perturbations and Generative Models Amy Rafferty Rishi Ramaesh Ajitha Rajan MedIm AAML 56 0 0 04 Feb 2025
NeuralSentinel: Safeguarding Neural Network Reliability and Trustworthiness Xabier Echeberria-Barrio Mikel Gorricho Selene Valencia Francesco Zola AAML 10 1 0 12 Feb 2024
Adversarial AI in Insurance: Pervasiveness and Resilience E. Luciano Matteo Cattaneo Ron S. Kenett AAML 22 1 0 17 Jan 2023
On Evaluating Adversarial Robustness of Chest X-ray Classification: Pitfalls and Best Practices Salah Ghamizi Maxime Cordy Michail Papadakis Yves Le Traon OOD 11 2 0 15 Dec 2022
Scoring Black-Box Models for Adversarial Robustness Jian Vora Pranay Reddy Samala 25 0 0 31 Oct 2022
Interpretation of Black Box NLP Models: A Survey Shivani Choudhary N. Chatterjee S. K. Saha FAtt 32 10 0 31 Mar 2022
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View Di Jin Elena Sergeeva W. Weng Geeticka Chauhan Peter Szolovits OOD 31 55 0 05 Dec 2021
Medical Aegis: Robust adversarial protectors for medical images Qingsong Yao Zecheng He S. Kevin Zhou AAML MedIm 19 2 0 22 Nov 2021
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods Zohaib Salahuddin Henry C. Woodruff A. Chatterjee Philippe Lambin 15 301 0 01 Nov 2021
Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning Matthew Watson Noura Al Moubayed AAML MedIm 10 20 0 05 May 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 25 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 19 25 0 04 Feb 2021
Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges Kashif Ahmad Majdi Maabreh M. Ghaly Khalil Khan Junaid Qadir Ala I. Al-Fuqaha 24 142 0 14 Dec 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 26 33 0 19 Sep 2020
A Survey on Security and Privacy Issues in Modern Healthcare Systems: Attacks and Defenses Akm Iqtidar Newaz A. Sikder Mohammad Ashiqur Rahman A. S. Uluagac 46 173 0 15 May 2020
Anomalous Example Detection in Deep Learning: A Survey Saikiran Bulusu B. Kailkhura Bo-wen Li P. Varshney D. Song AAML 28 47 0 16 Mar 2020
Adversarial Examples in Modern Machine Learning: A Review R. Wiyatno Anqi Xu Ousmane Amadou Dia A. D. Berker AAML 13 103 0 13 Nov 2019
DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation Seungju Cho Tae Joon Jun Byungsoo Oh Daeyoung Kim 17 31 0 14 Aug 2019
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation Utku Ozbulak Arnout Van Messem W. D. Neve MedIm AAML 15 60 0 30 Jul 2019
Measuring the Transferability of Adversarial Examples D. Petrov Timothy M. Hospedales SILM AAML 18 23 0 14 Jul 2019
Assessment of Faster R-CNN in Man-Machine collaborative search Arturo Deza A. Surana M. Eckstein OOD 13 7 0 04 Apr 2019
ECGadv: Generating Adversarial Electrocardiogram to Misguide Arrhythmia Classification System Huangxun Chen Chenyu Huang Qianyi Huang Qian Zhang Wei Wang AAML 23 26 0 12 Jan 2019
Injecting and removing malignant features in mammography with CycleGAN: Investigation of an automated adversarial attack using neural networks Anton S. Becker Lukás Jendele Ondrej Skopek N. Berger Soleen Ghafoor M. Marcon E. Konukoglu MedIm 8 4 0 19 Nov 2018
Vulnerability Analysis of Chest X-Ray Image Classification Against Adversarial Attacks Saeid Asgari Taghanaki A. Das Ghassan Hamarneh MedIm 27 52 0 09 Jul 2018
Resisting Adversarial Attacks using Gaussian Mixture Variational Autoencoders Partha Ghosh Arpan Losalka Michael J. Black AAML 9 77 0 31 May 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 281 5,835 0 08 Jul 2016