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Test-Time Poisoning Attacks Against Test-Time Adaptation Models

Test-Time Poisoning Attacks Against Test-Time Adaptation Models

16 August 2023
Tianshuo Cong
Xinlei He
Yun Shen
Yang Zhang
    AAML
    TTA
ArXivPDFHTML

Papers citing "Test-Time Poisoning Attacks Against Test-Time Adaptation Models"

6 / 6 papers shown
Title
R.I.P.: A Simple Black-box Attack on Continual Test-time Adaptation
R.I.P.: A Simple Black-box Attack on Continual Test-time Adaptation
Trung-Hieu Hoang
D. Vo
Minh N. Do
TTA
AAML
82
0
0
02 Dec 2024
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
MedBN: Robust Test-Time Adaptation against Malicious Test Samples
MedBN: Robust Test-Time Adaptation against Malicious Test Samples
Hyejin Park
Jeongyeon Hwang
Sunung Mun
Sangdon Park
Jungseul Ok
AAML
TTA
OOD
24
1
0
28 Mar 2024
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,337
0
11 Nov 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
60
29
0
27 Apr 2021
Benchmarking Adversarial Robustness
Benchmarking Adversarial Robustness
Yinpeng Dong
Qi-An Fu
Xiao Yang
Tianyu Pang
Hang Su
Zihao Xiao
Jun Zhu
AAML
18
36
0
26 Dec 2019
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