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MedBN: Robust Test-Time Adaptation against Malicious Test Samples
March 29, 2024, 4:42 a.m. | Hyejin Park, Jeongyeon Hwang, Sunung Mun, Sangdon Park, Jungseul Ok
cs.LG updates on arXiv.org arxiv.org
Abstract: Test-time adaptation (TTA) has emerged as a promising solution to address performance decay due to unforeseen distribution shifts between training and test data. While recent TTA methods excel in adapting to test data variations, such adaptability exposes a model to vulnerability against malicious examples, an aspect that has received limited attention. Previous studies have uncovered security vulnerabilities within TTA even when a small proportion of the test batch is maliciously manipulated. In response to the …
abstract adaptability arxiv cs.cr cs.cv cs.lg data distribution examples excel performance robust samples solution test training type vulnerability
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