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MedBN: Robust Test-Time Adaptation against Malicious Test Samples

MedBN: Robust Test-Time Adaptation against Malicious Test Samples

28 March 2024
Hyejin Park
Jeongyeon Hwang
Sunung Mun
Sangdon Park
Jungseul Ok
    AAML
    TTA
    OOD
ArXivPDFHTML

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

5 / 5 papers shown
Title
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning
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
48
0
0
07 Oct 2024
Byzantine Machine Learning Made Easy by Resilient Averaging of Momentums
Byzantine Machine Learning Made Easy by Resilient Averaging of Momentums
Sadegh Farhadkhani
R. Guerraoui
Nirupam Gupta
Rafael Pinot
John Stephan
FedML
23
67
0
24 May 2022
SITA: Single Image Test-time Adaptation
SITA: Single Image Test-time Adaptation
Ansh Khurana
S. Paul
Piyush Rai
Soma Biswas
Gaurav Aggarwal
58
52
0
04 Dec 2021
If your data distribution shifts, use self-learning
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
65
29
0
27 Apr 2021
RobustBench: a standardized adversarial robustness benchmark
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
207
668
0
19 Oct 2020
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