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Detecting Backdoors During the Inference Stage Based on Corruption
  Robustness Consistency

Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency

27 March 2023
Xiaogeng Liu
Minghui Li
Haoyu Wang
Shengshan Hu
Dengpan Ye
Hai Jin
Libing Wu
Chaowei Xiao
    AAML
ArXivPDFHTML

Papers citing "Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency"

4 / 4 papers shown
Title
Secure Transfer Learning: Training Clean Models Against Backdoor in (Both) Pre-trained Encoders and Downstream Datasets
Secure Transfer Learning: Training Clean Models Against Backdoor in (Both) Pre-trained Encoders and Downstream Datasets
Yuhang Zhang
Yuxuan Zhou
Tianyu Li
Minghui Li
Shengshan Hu
Wei Luo
L. Zhang
AAML
SILM
43
0
0
16 Apr 2025
BeniFul: Backdoor Defense via Middle Feature Analysis for Deep Neural
  Networks
BeniFul: Backdoor Defense via Middle Feature Analysis for Deep Neural Networks
Xinfu Li
Junying Zhang
Xindi Ma
AAML
28
0
0
15 Oct 2024
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision
  Transformer
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer
Sachin Mehta
Mohammad Rastegari
ViT
218
1,213
0
05 Oct 2021
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,198
0
01 Sep 2014
1