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Diffusion Models are Robust Pretrainers
Mika Yagoda
*
, Shady Abu-Hussein
,
Raja Giryes
*
Corresponding author for this work
School of Electrical Engineering
Research output
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Article
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peer-review
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Keyphrases
Diffusion Model
100%
Adversarial Robustness
40%
Model Robustness
20%
Diffusion-based
20%
Robust Representation
20%
Image Classification
20%
Image Generation
20%
Classification Detection
20%
CIFAR-10
20%
Object Detection
20%
Image Object
20%
Training Scheme
20%
Resource-constrained
20%
ImageNet
20%
Adversarial Training
20%
Adversarial Attack
20%
PASCAL VOC
20%
Adversarial Accuracy
20%
Training Cost
20%
Low-cost Paths
20%
Computer Science
Adversarial Machine Learning
100%
Adversarial Robustness
100%
Image Classification
50%
Image Synthesis
50%
Object Detection
50%
Convolutional Neural Network
50%
Practical Significance
50%