SEDA: Self-Ensembling ViT with Defensive Distillation and Adversarial Training for robust Chest X-rays Classification

15 August 2023

Papers citing "SEDA: Self-Ensembling ViT with Defensive Distillation and Adversarial Training for robust Chest X-rays Classification"

7 / 7 papers shown

Title
Decentralized Spatial-Temporal Trajectory Planning for Multicopter Swarms Xin Zhou Zhepei Wang Xian Wen Jiangchao Zhu Chao Xu Fei Gao 56 29 0 23 Jun 2021
Deep Learning for Chest X-ray Analysis: A Survey Ecem Sogancioglu E. Çallı Bram van Ginneken K. G. V. Leeuwen K. Murphy LM&MA 89 324 0 15 Mar 2021
Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization Tawsifur Rahman Amith Khandakar M. A. Kadir K. R. Islam Khandaker F. Islam ... Tahir Hamid M. Islam Z. Mahbub M. Ayari M. Chowdhury 51 366 0 29 Jul 2020
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks Francesco Croce Matthias Hein AAML 213 1,842 0 03 Mar 2020
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 299 12,060 0 19 Jun 2017
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 256 8,550 0 16 Aug 2016
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 269 19,045 0 20 Dec 2014