MedBN: Robust Test-Time Adaptation against Malicious Test Samples

MedBN: Robust Test-Time Adaptation against Malicious Test Samples

28 March 2024

Jeongyeon Hwang

Jungseul Ok

Papers citing "MedBN: Robust Test-Time Adaptation against Malicious Test Samples"

8 / 8 papers shown

Title
Smoothing the Shift: Towards Stable Test-Time Adaptation under Complex Multimodal Noises Zirun Guo Tao Jin TTA 84 1 0 04 Mar 2025
R.I.P.: A Simple Black-box Attack on Continual Test-time Adaptation Trung-Hieu Hoang D. Vo Minh N. Do TTA AAML 94 0 0 02 Dec 2024
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning Yongyi Su Yushu Li Nanqing Liu Kui Jia Xulei Yang Chuan-Sheng Foo Xun Xu TTA AAML 56 0 0 07 Oct 2024
Gradient Alignment Improves Test-Time Adaptation for Medical Image Segmentation Ziyang Chen Yiwen Ye Yongsheng Pan Yong Xia 27 1 0 14 Aug 2024
Byzantine Machine Learning Made Easy by Resilient Averaging of Momentums Sadegh Farhadkhani R. Guerraoui Nirupam Gupta Rafael Pinot John Stephan FedML 31 67 0 24 May 2022
SITA: Single Image Test-time Adaptation Ansh Khurana S. Paul Piyush Rai Soma Biswas Gaurav Aggarwal 69 52 0 04 Dec 2021
If your data distribution shifts, use self-learning E. Rusak Steffen Schneider George Pachitariu L. Eck Peter V. Gehler Oliver Bringmann Wieland Brendel Matthias Bethge VLM OOD TTA 77 29 0 27 Apr 2021
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 228 677 0 19 Oct 2020